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diff --git a/transcripts/1.txt b/transcripts/1.txt
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-This is going to be version 2 refactor of the Hugging Face voice note training data set because I've learned tonight how to do data annotation properly using Label Studio so it's going to be a start from scratch in the interest of making it much easier to maintain this data set and upload additional notes as I go along.
diff --git a/transcripts/10.txt b/transcripts/10.txt
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-I'm going to add the workflow to Contentful. I'm just going to document the one I'm submitting to the creator library, which is one away from the threshold for monetization. And then that can be just to prove it's got the code sample. We can actually do code samples from the JSON and to test out the main code block and specific areas and make sure I'll make sure as well the JSON is a type of supported language in the syntax highlighting, and that will validate that it's working.  
-  
-It might just be more efficient to say that what's been, forget the importing the old posts. Or I can just gradually update them going forward. And I wanna create a tag as well for N8N workflows. And then so that I can update this link from the agent website that I'm building.  
-  
-And I might ask N8N. I read the guidelines now for the workflows if they might would mind sharing for credential sanitization, redacting things beyond API keys. If you have, for example, your name in an agent configuration or an email, I'm manually editing them. And then emails, what is their preference regarding that? Is it okay to use things like redacted placeholders or dummy emails? What's their preference for how to submit them?  
-  
-And of course, it's important as well to check the workflows before submitting them because the API keys shouldn't be exposed because they'd be linked to its credentials. We just want to make sure that there's nothing else that, for example, in the payloads and webhooks, if those might reveal any IDs or anything else. At the moment, they're worth manually inspecting.
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-Create a desktop IP camera viewer that will run on Linux. The four IP camera RTSP streams are in their repository. The first page should be a quadrant display maintaining a fixed aspect ratio, so that when opened in full screen or smaller, it should maintain the correct aspect ratio so that the individual feeds are viewable. Then, you should be able to toggle between the four. If you click on a camera from the grid view, it should take you to that specific feed.  
-  
-By default, all the feeds should be muted; that is to say, the audio feed should not be streaming. You can unmute, which will stream the audio feed. The other thing should be digital zoom, so you should be able to zoom in and out within each feed viewer using plus and minus on the keyboard. I'll use the arrow keys to navigate between, to pan around the cropped digital view. So, for example, if I start by zooming in a bit, I can then use the arrow keys to move within the parameters of the zoomed-in frame. Zoom should only be increaseable from 100%.
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-Probably the most useful prompts to keep, many of which are still waiting to run, would be the detailed spec definitions.  
-  
-For example, the smartwatch spec, the lav mic spec, that were quite detailed and most of those are still probably relevant.  
-  
-And they're just in the slush pile somewhere.  
-  
-I gathered those up, I would say.
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-We have to diagnose the cause of why the Zigbee bulbs are a little bit sluggish to react. They take about 10 or 15 seconds. And check with moving back to Mosquito if there's any reason why there might be that latency in them getting the messages from the coordinator.  
-  
-And for the red alert automation, for the green, orange, and red, I need to make sure that the, I guess for green only, no, for orange and for green, it needs to go as the cycling count is unreliable. Just at the end of those scripts, it should turn the RGB lights off. So it'll go orange for two minutes. Oh, it smells so smelly too. Then turn off.  
-  
-And likewise for the green one, it'll go green for two minutes. And then there'll be just a single command to turn those, turn the RGB lights off.
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-So the notes for a blog post to share targets audience. In fact, it'd be actually quite good and give out the briefs I used to get from web pals, and those guys that would actually be a great format for an AI agent. The idea I was planning yesterday of like this, where I capture a thought or a briefer notes, and I might add to that these target market SEO keywords, title, target length, and the services I would like to offer. They better off as two different topics.  
-  
-The first is agents and assistants. I feel like there is traffic for that search, then it would be a good one to have a piece for because people are wondering, well, what the difference? And that could be quite fairly clean to write, but also making the point that there's actually a lot of overlap. A point that doesn't get made enough is that a lot of things are actually better off as assistants and not as agents. That as MCP comes online and matures, it doesn't mean that everything needs to use it.  
-  
-The next one is within the world of agents. I don't know if I want to make a controversial take. Maybe this might ignite some thought among people, which is that we're calling two completely different things agents at the moment: conversational and instructional. The case in point for builders would be Mind Studio for workflow-based agents, and ChatGPT has recently launched Agent Mode for chatbots that have MCP and AI.  
-  
-And right now, my personal opinion is that we need one... Users want and need one platform for both of them. But also that it's when people are trying to... We need actually a name. We need a name for... We need vocabulary at the moment actually because right now they're both calling... There isn't really a good word for a single term workflow of an agent that's created by a form and it puts it through a pipeline. People would just call that an agent, and they'd call a chatbot that can send your emails or return your inbox. They'd call that an agent too, and they're completely different user experiences.  
-  
-So I think the point would be to delineate between the two, firstly, and secondly to... I think the bottom line that people might want is if I'm writing this for as a prospective sales hook, people will say, well, we don't want to just hear this. We don't want to hear pontification or musing. We want to hear what are the takeaways.  
-  
-And I think the takeaways from this might be from you have to ask what does a business, why does a business need to care about this? And the point really is that different, you might need different platforms. Here's what's out there in the market; it could be a prediction as well that I predict that these will fuse in 2025. But for now, that's why there's kind of a couple of different tools. I think a lot of people are wondering if they have a name because there are just such incredible... We could use Crew AI as an example of a very established code-first agentic framework, and then we could use Claude code or ChatGPT agent mode. So we now have a few good examples to draw upon in both categories of what they are.
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-Could you give me a guide on how a typical Docker development and deployment process works exactly?  
-  
-So let's say I'm working on a project locally and I'm using Docker.  
-  
-So I presume when I work on my codebase, I'll then build a Docker image for testing.  
-  
-All of these are the ones that we like to use for testing.  
-  
-But you generally want something, if I'm not mistaken, that is hot loading.  
-  
-Or does that happen before you dockerize something?  
-  
-And let's say that I have a database as well in the project and I want to have a volume.  
-  
-Let's say that I want to do Docker deployment whereby I actually start off the data in the app as well as the app.  
-  
-To give an example, it might be an inventory manager and some other developers, and many more.
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-Generate one for door opening event detected.  
-  
-Door closing event detected.  
-  
-Bathroom usage detected.  
-  
-All air conditioners are now turning on.  
-  
-All air conditioners will now turn off.  
-  
-Current temperature in the nursery is, just a placeholder.  
-  
-Current humidity in the nursery is.  
-  
-Air conditioning advised.
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-So a very powerful agent to add to the library. For the email drafting one, I will gather these in a tag called agent plans and they can be there together. This would be a very big one if it could be pulled off. And again, I come back to the question of if there's a front load transcription that doesn't need to route everything through voice notes. For example, if the N8N form element had a voice capture node, it would solve all of this very elegantly.  
-  
-So if I dictate an email and I use a transformation in voice notes, I need to say every time it's for me. It gets the names wrong all the time; it gets the style wrong. So it saves a lot of time but still a lot of nudging. System prompt to an email sending agent is like done very successfully in the past; it works very well. So the note comes in tagged, it goes to this, and the output should be basically ready to send every time. So that's not worth creating just to get to that step.  
-  
-What it would be worth creating to do is a contact matching and have to be saved into and so on. So, I'm going to go ahead and start the draft probably initially until it's validated or whatever human in the loop thing they have now. In other words, if I say send this to Ronnie or an email to Ronnie or an email to Stephanie or the people that I'm sending to frequently with the Google contacts integration which exists, I imagine they have set up an MCP.  
-  
-It can retrieve the person's email based on the entity match, put them in the to field, and that way I could just dictate emails that basically would be hopefully a queue of emails ready to go with one button of a push. So that would be a really cool one to try depending on if the contacts MCP is mature enough to support this.
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diff --git a/transcripts/108.txt b/transcripts/108.txt
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@@ -1,11 +0,0 @@
-Okay, so I have the email header images done. I'm going to add in green invoice. So I just cleaned up the workflows I had created previously just to standardize on the structure. And in the JSON payload for the invoice and for the receipt, you get a detailed breakdown of the MAM capture, which can be very helpful because assuming I write this data out to a table, I can at any point in time see exactly what my position and so on.  
-  
-So, the question is against MAM based on the amount. So each time if, let's say my test, tests invoice for one Shackle and 18 Agurot of MAM were written, so that gets written as the MAM owed and then you can top that up or check the position of it. That's number one for invoices and for receipts, I'm just going to create separate workflows for the sake of it, although they could be branched into one.  
-  
-I'm going to suppress and Sibghts Billing in green invoice so that they can get a custom email with the pay URL which is also provided. There are four URLs provided in the payload. One is the payment URL for the client. You got the document URL in English, Hebrew, and Source. So you can actually download both and put them into your object storage.  
-  
-And then for expenses, the question remains if for Hanna at this point is it worth, probably not worth editing. Check the API docs again. It still seems to me as if you can't create, you can create an expense in Green Invoice, and many more. The only problem with this is that you can't have them put a document in your database and then have them do their document parsing.  
-  
-You can retrieve stuff, but if you're not using it for actual expense logging, there's no value in retrieving the expenses stored there because there won't be any stored. As far as I know, there's no ingress to the expense, although I should probably clarify with Green Invoice. There's no ingress where you can provide, upload an expense that you got and then collect the information.  
-  
-In any event, you have to go in and edit it by hand so it's probably not worth, it's probably worth just using this other system but the subscription is back in order with you because it's certainly a lot more, just better to use basically than the other one.
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diff --git a/transcripts/109.txt b/transcripts/109.txt
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-So I have a thought that I look into and which I thought I'd share with a friend working in SEO because it occurred to me that this is I feel what will this is would be a very productive way forward.  
-  
-So given the huge rise of AI, people are naturally concerned and aggrieved about IP protection and specifically large language models ingesting their blog content and websites into their training data without their consent, which is very reasonable.  
-  
-On the other hand, there's a huge opportunity for building thought leadership and branding by actually making it easy, as easy as possible for bots to scrape up your content.  
-  
-On the blocking side, you have companies like Cloudflare which are rolling out very quickly AI blocking features which are basically targeted denialists.  
-  
-I am curious to know and to see whether on the other side there are actually companies saying AI traffic is massive. It's a very legitimate referral source.  
-  
-When we're dealing with search engine traffic, we don't try to put up walls to make it hard for Google and others to index their sites. Why is that the approach you want to take with AI?  
-  
-I mean maybe you want to block your real IP; it could be your image galleries, but there's a big potential advantage in actually making it easy.  
-  
-So what does AI like? It likes structured data, it likes very clean metadata, and I'm curious to see if any companies and technologies are targeting this.  
-  
-Consultants explicitly branding themselves as optimize your site for AI readability, and if not, I predict that this will be a very big demand for this as people instinctively rush to block and then realize that, hang on, our competitors are getting user referral traffic from ChatGPT, etc. Let's undo that and make it easy.
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diff --git a/transcripts/11.txt b/transcripts/11.txt
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-One final set of adjustments for V4 is the ability to adjust the sensitivity for both the cry detection and the motion detection.  
-  
-And likewise, like the other settings we had, which was saved in our local memory, these should also be saved in local memory.  
-  
-Please try to find a local memory solution that is robust and will of course persist across reboots.  
-  
-If the current one is not optimal, then let's find a better way.  
-  
-However, really this can persist in the current Linux system.
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diff --git a/transcripts/110.txt b/transcripts/110.txt
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-I'd be interested to know, looking into AI agent workflows at the moment and beginning to gradually embrace the concept that multi-agent workflows have an important place.  
-  
-I say that because I tend to think always that I tried to consolidate, simplify, consolidate, get one agent to do many things.  
-  
-But I'm seeing examples where I have in a recent workflow an agent just for optimizing the user's voicemail transcription as a prompt.  
-  
-Then one for cleaning it up for a Gmail complaint HTML.  
-  
-I'd be curious to know in production use cases, can you give me some credible examples where multi-agent workflows are common and where you might actually have a significant amount of them in a chain?  
-  
-Give me a couple of examples of, let's say, workflows where you might need three agents like I have and one where you might credibly need eight or even more AI agents all in a sequential chain.  
-  
-Thank you.
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diff --git a/transcripts/111.txt b/transcripts/111.txt
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-Okay, so I would say that the URLs being gathered are correct. They are valid. But I'm really more interested in coverage from the last three years. And there's a lot more than this.  
-  
-So what would you recommend as the most, what's going to give us the most effective results to just get this done? A paid service, a paid API that can get from what we have now, which is a basic selection, to a much more nuanced list of maybe 50 or even 60 stratified really by types, podcast, press coverage, etc.  
-  
-The structured output is very good, that part is excellent. It's just a discovery that it's falling down on.
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diff --git a/transcripts/112.txt b/transcripts/112.txt
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@@ -1,5 +0,0 @@
-So a note to self, a reminder that I still, so the voice node export was that I did yesterday had about 1700 notes and it, I put it up in Hugging Set privately of course. This is a private data set, I have it locally and I didn't, my plan was to run Olam over it and say this is a really good and representative data set of all the type of notes that I take over about 3 months.  
-  
-What I wanted to do was entity recognition. This is a to-do list, this is a shopping list and then if we could firstly determine the top 50 recurring entities and then come up with a schema of let's say here are the top 20, here are the top 50 with the purpose of creating the most effective tagging system and on the back of the tagging system then creating the automations.  
-  
-So I need to identify the most recurring entities. Some exactitude. Problem for this workflow is that it's a substantial body of text. So I'm not sure that the way to go would be asking the LLM to iterate over the entire dataset. Or maybe it would just sample a little bit of text from the notes and then it would kind of work gradually.
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-I'm doing a lot of Python development on this computer.  
-  
-I want to do a bit of Android development too and who knows what else will come in the future.  
-  
-I'd like you to evaluate the packages I have on this computer, the environments I'm set up for in terms of development packages specifically, and see if you can identify any obvious gaps for what I have on the computer.  
-  
-And this is Ubuntu of course and install anything that would be primarily better for development including any SDKs that I might be missing, packaging files, that kind of thing.
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diff --git a/transcripts/114.txt b/transcripts/114.txt
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@@ -1,9 +0,0 @@
-So I'm going to try to do a kind of evaluation, not a scientific one, but just a kind of back of the hand one, looking at the respective merits of Sonnet, Nano 4.1 or whatever the latest OpenAI one is.  
-  
-The contender is the increasingly diverse range of tools that Windsurf is bringing in, and it would be good to pay close attention and see what else is emerging in this landscape.  
-  
-Sonnet 4 is the most expensive and seems to be kind of the go-to but frequently seems to really struggle on context.  
-  
-I feel like Google are going to eventually catch up with it in the model.  
-  
-They don't have the same sort of competitive product as they do, and just seeing really which is probably the least frustrating in turning out stuff actually working.
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diff --git a/transcripts/115.txt b/transcripts/115.txt
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@@ -1,13 +0,0 @@
-One experiment that I think would be very useful to do would be to try with the N8N API.  
-  
-I don't know if there is yet an MCP for N8N.  
-  
-That would be incredible for a self-hosted N8N server.  
-  
-Then I could really connect with Windsurf to either the local or the remote one.  
-  
-And say, you know, I want to create this workflow, can you start it?  
-  
-And actually develop it, execute the commands to build the workflow basically.  
-  
-So that's worth really looking into.
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diff --git a/transcripts/116.txt b/transcripts/116.txt
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@@ -1,3 +0,0 @@
-So a DevOps agent would be really interesting to try. I'm going to see if something's been made for this. The way I'm using Windsurf at the moment, which is, you know, have it on my local, then connect to the 1.2 VM, then connect to this environment, and then have it just run stuff on the command line.  
-  
-I've seen if anything's actually been made to do this, as in intentionally that's the purpose. And if so, it might be. If not, it might be an idea, but we just have to create a proof of concept firstly and to validate it. But, you know, it could be nice.
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diff --git a/transcripts/117.txt b/transcripts/117.txt
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-So I'm currently using windsurf IDE in order to work on a large variety of projects, particularly including using it to actually do repairs on the local file system, which is a sort of unofficial off-label application for an agentic code editor, but I find this highly, highly effective.  
-  
-And the other agent code IDEs which can be used with a cloud LLM might be more cost effective. That's the only problem with Windsurf; especially if you use Sonnet 4, it becomes very expensive very quickly.  
-  
-I don't think agentic on a local, with a locally run LLM is an option. But it struck me that VS Code can be paired with just about any Cloud LLM, any extension.  
-  
-Among what's currently out there for agentic assistance, is there any that offers a truly different value proposition to Windsurf in the sense of being really affordable for almost truly unlimited usage?  
-  
-With Windsurf, it's just the usage caps, as well as the APIs they use frequently seem to run into exhaustion due to the sheer volume of users that they have.
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diff --git a/transcripts/118.txt b/transcripts/118.txt
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@@ -1,3 +0,0 @@
-I want to work today find out some for Contentful if there's Sanity Studio the pros and cons of that exactly but it would be good to see what they because the only thing that troubles me about this one is that the they're pushing the hire account and it's unaffordable for some people.  
-  
-I could I've asked them if there's for private users if they do a deal or something but that's the only thing is vendor lock if they ever pull this free tier I don't find myself screwed basically.
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diff --git a/transcripts/119.txt b/transcripts/119.txt
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@@ -1,7 +0,0 @@
-So I'm currently using N8N quite extensively for automations. It is an excellent platform, very powerful, learning curve for sure. The issue I find is that, so I'm using Windsurf IDE for a lot of things in general, especially for automation. What I find with N8N is that it can take a very long time to configure a workflow when you're creating each step manually in an automation chain. But if I can, on the other hand, prompt an AI agent in Windsurf to generate a Python script to achieve the same thing, it could take me minutes rather than potentially even hours. So it's a lot more efficient to do it at the code level just in Python.  
-  
-What I'm thinking is that as basically all I need is a server with Python script running, which is the core of what probably N8N is under the hood, it might be more efficient to begin migrating some of these scripts or creating some of these scripts deployed directly on a server in a code environment. This would give me the ability to have an AI agent connect directly to the server, edit my workflows, edit the, etc.  
-  
-So my question is as follows: if I wanted to take that approach, one of the useful things in N8N, of course, is the ability to save credentials which can be used across your scripts for the different integrations. Is there any platform? I'm always trying to avoid reinventing the wheel. Is there any platform that is intended for this? I keep thinking to myself that if a business comes along and wants to create different workflows for integrating different services, whether it's, you know, it could be relatively mundane back office operations, I can't imagine that they're going to go to N8N. Maybe they are. But I wonder if there's a platform that is intended to provide the overall framework for holding together a bunch of automation.  
-  
-There might be a GUI for actually managing the Python scripts, managing the environment variables, and that would provide the code frontend to N8N. It would still, however, be important to be able to edit them locally, in other words, to edit or deploy scripts that then get synced up to the deployment environment. But what would you say is the sort of code-first approach here? Is there a framework that is the equivalent of N8N for this? Or would most people just deploy their own Python script library to a server, have it run, and that's how they manage automation scripts in production?
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diff --git a/transcripts/12.txt b/transcripts/12.txt
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@@ -1,5 +0,0 @@
-I'd like to get your recommendations for an AI choice of large language model. That would be efficient for what you might call kind of fairly simple but repetitive tasks in the sense of, let's say, for example, I'm running an agent that's going to process my voice notes and it's going to have a cleanup prompt. And so just cleaning up the format for to make it a bit more coherent basically and then saving that somewhere. So this might be run 50 times a day and I don't want to, you know, you rack up huge API costs on doing so.  
-  
-Traditionally, the use of a very strong contender for this kind of work was Turbo 3.5 and so on. But I feel like that's a little bit, I personally feel like there's no need to go quite that back far in the models. There are more modern up-to-date cost-efficient models. I'd be interested to know what the current time in terms of what OpenAI has, what maybe Cohere has, or any other LLMs that are really kind of optimized for what you might call, I think there's a big difference between the type of prompting that you might do in a conversational interface where you're looking for a lot of detail and interactivity versus agents for this kind of instructional tasks.  
-  
-The simple answer is it's an instructional fine-tune and so on. But I see that instructional and conversational are converging and there's less models now being explicitly marketed as instructional. So I'd just like to get your take on that.
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diff --git a/transcripts/120.txt b/transcripts/120.txt
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-So I came across recently there's a I didn't realize that there's already the first class of sensor processing units that are available at a consumer price point and in a consumer form factor. I'm referring to the Google Coral series for about $60 etc. They're most popular for computer vision workflows.  
-  
-I came across them looking at motion detection for IP cameras, and what I'm unclear about, I'm not sure about, is to what extent, because they're so small and relatively cheap, they actually going to make, let's say you had a computer that wasn't really very well equipped for running stuff with AI. Let's just say a very basic GPU. If running one of these or doing the more conventional upgrade of putting in a better GPU, would you expect something significant from this small addition?  
-  
-It seems to me that it's doubtful that it would really bring that much more inference versus a more traditional hardware upgrade. But the other question that I have is for speech to text, which is something that I'm looking at for a long time. I know that Google's Pixel phones for on-device STT are considered the best in class.  
-  
-So from a hardware standpoint, is there anything like, why is it, if you wanted to get something, if the Coral is an example of something that you can achieve big things for relatively cheap by focusing on the right hardware for the task, is there anything comparable for speech to text?
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diff --git a/transcripts/121.txt b/transcripts/121.txt
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@@ -1,3 +0,0 @@
-So if we're struggling with Gemini, it seems to me that this may be a good task for a model like Gemini in conjunction with a search engine API of some kind. Try it one more time with the fix. And if you can think of an external help, maybe Perplexity I was thinking. Really, whatever could have a good pool of historical news mentions or just general scraping, to be honest. Firecrawl, if that's an option.  
-  
-If the next attempt fails, try to think of more diverse approaches to gather this list. I think it should definitely be feasible. There's also a lot of interviews of him on YouTube and on podcasts, so something that could scrape YouTube and add those to the array would be helpful as well.
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diff --git a/transcripts/122.txt b/transcripts/122.txt
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@@ -1,3 +0,0 @@
-So we have an AI agent workflow which is currently triggered by a voice note that I tag. The workflow works very well, I validated it. And I'm trying to think about other ways that workflows like this can be a little bit easier to use. So this is, it's a single turn agent. The user will send in a question, a parenting question. And then it comes out to a note, to an email, to a shared inbox so that we can both get the receipts. So that aspect works very well and I think it has to be conversational because the other, a single turn because the only way that it could be conversational would be you'd have to get involved in managing chats and having the agent summarize the chat would actually be a lot more complicated.  
-  
-And so on and the other way around. So the way that I go turn agents from the user is you can do a telegram bot. A form is very simple to set up but it kind of awkward to use because who wants to complete a form to prompt an AI tool? The voice message app that I'm using, which is Voice Notes and it's a tag is probably for me, it's my favorite way I've found so far. It's very easy. And so on. And so on.
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diff --git a/transcripts/123.txt b/transcripts/123.txt
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@@ -1,3 +0,0 @@
-I'm currently storing AI outputs in Gmail because it's a workflow that I've built and I'm eager to stick with it. I tend to like when you're using a prompting workflow that then delivers to the user. It always seems to me that there's a little bit of a vacuum of thought into what the most obvious delivery model should be. I personally like email because a well-formatted email is kind of nice to read. I've tried Slack, which tends to have horrible restrictions around formatting.  
-  
-I'm looking into saving to a node editor, but to be honest, the only negative about Gmail is that I can see if I run like 100 prompts per day it would really clog up my inbox. I'm thinking about using a dedicated Google group to obviate this problem so long as you can read it easily on an Android. But just looking at it purely from a capacity standpoint, how many prompts per day could I store if I just wanted to keep the notifications this way without overwhelming my Google Workspace storage? I imagine the volume might be quite significant in terms of how many messages you can retain and etc. Give me an example where I could credibly keep this many and have my consumption usage and any other limits not really be significantly adversely affected.
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@@ -1,7 +0,0 @@
-So for an AI agent, let's say I have an app, or it's currently a custom app, I'm just experimenting with different configurations. It's our parenting assistant agent, so the system prompt is pretty good. It emails us the output after the agent gets the prompt, and it also saves it to a note. So that end of it is good, and there's a webhook trigger.  
-  
-So really, I'm just trying out different input methods to get the prompt to the webhook. The app is good, but I would actually prefer not to rely on something that's custom made. Two ways of messaging the AI agent would be very, very convenient.  
-  
-The first would be sending a voice note through like a messaging app, either WhatsApp or Telegram. And less convenient would be something like Slack. I think that Telegram, knowing the input channels that are feasible, I think Telegram is actually the best bet.  
-  
-So if I wanted to create a Telegram bot that whenever it received either a text or a voice and so on.
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diff --git a/transcripts/125.txt b/transcripts/125.txt
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@@ -1,3 +0,0 @@
-I'm going to see if there's any migration path from Home Assistant OS through to Home Assistant on a VM, what any downsides might be.  
-  
-The reason I'm thinking about this is that if you do it at the HAOS level, while it seems at first initially like the most flexible option, the fact that you can't, the permissions, the SSH control, all that would probably not be required if it was running on top of a multibox where you can always mount and edit the connected file systems.
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diff --git a/transcripts/126.txt b/transcripts/126.txt
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@@ -1,5 +0,0 @@
-I got an email from a guy at a company that I want to check out tomorrow. It's called Mirai and it is on-device AI.  
-  
-It says that it's 50% more efficient than Lama CPP.  
-  
-So I want to look into it and see if there's any use case for running speech-to-text models specifically at the edge.
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diff --git a/transcripts/127.txt b/transcripts/127.txt
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-So I'm trying to create a network of speakers in the apartment for the purpose of sending out alerts and home assistant, basically text-to-speech alerts.  
-  
-How does MPD fare for this purpose? What I noticed when I was using Snapcast and Snapserver, very hard to set up and actually it didn't achieve good sync at all, to my surprise.  
-  
-My question is, is it reasonable to just use MPD one on each speaker? Or should I try to find a better solution for syncing them through as a server, the playback?
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diff --git a/transcripts/128.txt b/transcripts/128.txt
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-One interesting idea from my voice note thing, idea, or system as it's coming to fruition. In the last note, which I could have articulated a bit more carefully had I thought of this, and the other one is a single turn prompt and a prompt for an autonomous workflow. So if I said I want to do salary research in Israel, you have my background in context, and so on.  
-  
-So, that could actually be sent to a multi-step research agent such as the ones that Zapier do very well but I'm sure could be articulated. For that reason, I'll create a tag for prompts is just the regular standard prompts, single term prompts I need this information give it back to me I recording it now and that would be that can be a second one for deep research basically.  
-  
-And I sure if I look in the N8N workflow directory speaking of which I should go through it and add templates that are trending or promising or top rated. When you bring them in, you do need to have the credentials mapped. So if they use something that you can swap out, you still need to, that's the only limitation to it.  
-  
-But I'm sure that's one that I've seen people targeting and which could be very useful. So instead of just coming back with a single turn, I guess the difference, and it's a bit of a gray area, what is the difference? And it's probably tool usage and multi-step.  
-  
-So in this example for salary research, it goes to an agent with maybe SERP API certainly probably perplexity and maybe even autonomous tool usage. So it would say maybe there's a jobs API, etc.
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-What might be useful in terms of the other AI components I'm thinking about besides vector database?  
-  
-Persistent memory.  
-  
-Are there any self-hostable projects that could fit onto this Docker network for persistent memory?  
-  
-And other specific tools emerging for that.
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-I have an idea for an AI tool for Ubuntu and Linux grounded in the principle that Linux systems provide verbose logs, but most people don't make use of them because they're so verbose and overwhelming and complicated. And I think that this would actually be a superb use for AI, which can process this and make sense of this large swathe of information that generates every second the Linux system is running, starting from the boot.  
-  
-The objective would be to provide something like proactive maintenance, by which rather than waiting for problems to bring down the computer or for hardware to crash, viewing every time that the system boots and runs as an opportunity to listen to catch these entries and remediate before they cascade or cause outright failure. So the idea would be something like a process or an agent that runs three minutes into the boot sequence after the boot. So the user gets into the UI, hopefully, and it captures the first three minutes of logs from the boot sequence, brings that into a repository, and then from that, it parses that and analyzes what the logs are saying, and if there are anything, if anything is there for remediation.  
-  
-The user could edit the length of time parameter. So sometimes it might be advantageous to run it 15 minutes or even an hour or have it running continuously. But I think as a proof of concept, it'd be easiest to start with those first three minutes into the boot where a lot of these kind of startup errors might manifest. And of course, the target would be to provide the user with remediation steps. And the idea would be that if they do this every once a week or even every three days, they should hopefully get to the point where the system is really clean and there's nothing to be fixed; it's in a good working condition.
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-I'm going to look in today as well into the question of the routing of the phone. It seems like it's better to do it sooner rather than later because it just gets harder.  
-  
-The first thing to see is if with ADB I can pull out an extract of everything on the phone in such a way that it can just be quickly reinstalled as it's a good version of apps. And the second one is to check out quickly. I have a feeling that this OnePlus is very good and well supported. The only question is just to verify with the exact build number and model number if there is a ROM that works.  
-  
-Assuming that there is, validate and check for real what the actual process is in terms of how long it'll take, what to set, how complicated it is, if it is an easy thing, and then just flash it and so on.
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-So Restreamer is doing very well. It's driving some excellent streams that I'm able to integrate into other programs now. The self-created app EITS can be taken down.  
-  
-And I'm wondering if Restreamer firstly has a web UI of its own for administration that might be useful to have access to. And secondly, if there is a NVR that you can recommend that would be able to play these camera streams. I need one grid sometimes and the other thing is just being able to toggle between individual cameras, nothing too complicated.  
-  
-But as the restreaming is already working well, it seems to me that it's better to work with what the restreaming produces than with the source RTSP. If you know of any NVRs that would be appropriate, you can add them to the stack and then we'll get back to the file browser at a later point.
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-Question for Snapcast, sending things in to it. The server or Snap server I should say. And then connecting that to multiple speakers in different rooms.  
-  
-What I have in the current architecture is MPD in front of Snapcast. And that was chosen. Firstly, Snapcast is quite an impressive system. I have the Snap clients running on the devices and I see that it could be really useful for stuff like home cinema or just creating kind of cool soundscapes in your house.  
-  
-Let's say I put the Home Assistant's use to the site. Let's say that I wanted to maybe have something running here. And I'm driving out to multiple speakers. What would be the best way to do that? And are there other, whatever role NPD plays in the stack, are there other more versatile or more modern stream intake layers that could do a better job.
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-I'm using Suno AI to generate songs and it's quite a lot of fun. I'm wondering, does Suno have an API? Because I want to generate a little kind of songbook for our son. And I've created a few, but I'd like to do a few more variations.  
-  
-Is there anyone in that, these song generators? I know that Suno is kind of restrictive in that respect.  
-  
-And I know that there are generative AI APIs coming on board a lot. What is the technology that Suno does in which they create music from prompts?  
-  
-I think I saw before what was actually powering it and who else is doing this?
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-My wife and I both find this remarkable that it's still considered a not essential but good thing to do to take a parenting course. When we had our first boy, it occurred to me shortly after birth that there are so many basic things like how to safely hold a baby, how to change a diaper that we thought was the last minute to learn, but even then there was really no sort of structure for doing so besides watching YouTube videos.  
-  
-I'd be interested to know if my sister tells me who lives in London that parenting courses are becoming an increasingly popular thing, often sponsored by the National Health Service. In Israel, where I live, it's a marginal dynamic, if at all.  
-  
-The second thing I'm wondering is, I would like the idea of taking one of these courses through video, remotely, including aspects of First Aid. Are there any reputable courses or apps you can recommend for people in my situation who feel after the fact that it would have been useful to do something like your course but we now have our newborn? What would you recommend? And I'd love to get your thoughts on the question regarding the prevalence and popularity of these parenting courses.
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-So I've been recording voice notes for a number of months now, and there's a feature in the client I use called voice notes, which allows you to download the audio—in other words, the original audio recording that you submitted that then got transcribed. I don't really like this feature because I never want, I never use those audio recordings. I don't like the idea that I have them and the rest of the team. So I have a bunch of these audio recordings out there in the cloud, but I am interested to know if there's any use I can make of them.  
-  
-So I have something I've really thought about doing for a while, which I'd love to do, is creating a fine-tuned speech-to-text model optimized for my own voice recognition performance and the words that I use. The issue is this: the transcripts from voice notes are going to be imperfect. And I know that for training speech-to-text models, you typically have a source of truth file and a transcript. And that's how they're trained. I don't have the source of truth because I haven't manually written any transcripts. Without that, is there anything that I can still do?  
-  
-Let's say that I have several hundred hours aggregated of these recordings. It's quite a substantial bank of data of me speaking in different audio environments, with different levels of background noise, different times of the day, that I feel like could be useful. So I can download the MP3s, put them into a repository pretty easily. But I'd be curious if you can think of any actual uses I can make in the speech-to-text thing that I've mentioned.
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diff --git a/transcripts/136.txt b/transcripts/136.txt
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-I find watching the early development of our newborn son to be really fascinating. It's made me wonder things about what the experience is of being a baby that I never thought of before.  
-  
-I'd be curious to know whether there's been any good documentaries you can recommend or books from the past few years which might touch upon our evolving understanding of this period of life. What kind of experiences newborns are going through, how they develop, especially with especially valuable explanations of the scientific literature intended for a layperson audience and written over the past number of years, whether it's documentaries or books, make some informed recommendations.
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-I have a long-standing interest in the paranormal. I've always found the literature around dying to be morbidly fascinating, and many more. Melting of the division between this world and the world which may be beyond it for those who believe, of course.  
-  
-I often watch with curiosity how our newborn seems fixated on something in a specific part of the room. It doesn't really have a rational explanation, but they seem to be engaging in a very animated fashion with something or someone.  
-  
-Has any literature been written about this and легитимс.com?
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-Write a feature request to the Windsurf team. Say that I've had a couple of instances in which the app I'm using, Ubuntu, has run into corruption issues and I've had to delete the user data directory.  
-  
-I would ideally like to never be in a place in which I use my Windsurf rules or I lose my list of extensions which are installed. As Windsurf is already a cloud service, I was wondering if you might consider integrating some kind of backup functionality into the product in which the user's MCP servers, configurations, list of installed extensions, and very importantly, default Windsurf rules are all aggregated into a backup package that the user might be able to export.  
-  
-This backup package could, at the least, be synced to the cloud so that in the event that the user had to delete their user directory, for example, all this data could be quickly repopulated to get them back to their previous working configuration.
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diff --git a/transcripts/139.txt b/transcripts/139.txt
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-So the other thing that occurred to me is for the local cameras we're looking at. I think it actually makes more sense. I'm trying to figure where the latency is coming from. And I think I figured it out. I couldn't get TP-Link to, or I looked at TP-Link, I looked at the network traffic, and it didn't seem to me as if it was actually calling home at all. Maybe there was metadata, but I didn't see any evidence that the video stream was actually being relayed out of the network, which is a good thing.  
-  
-So it must be using some kind of a proxy. The issue, if I'm looking at it in Home Assistant to camera streams, is I'm actually connecting via CloudFlare. So it's a hairpin, essentially.  
-  
-So that's why the local RTSP, if the streams are actually staying within the network as they should, should be much, much more stable and reliable.
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-There's some really amazing stuff in Binion Club. The camera store here has firstly got a lot of the Atom switches, Blackmagic stuff. They seem to be a supplier. They have it at, I'm not sure what the price is. I think it is a branch of camera.  
-  
-There's also a lock store there that have advertised on their in their store in their front of house that they sell smart security products. They have a Yale poster up there. I don't know if they actually do much with what they have. There's lots of little nooks and crannies in that place that's good stores.
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-So, I need to add the fourth camera today, fourth and final camera and clean out that section of my office and then update the Ezra Cam appliance to have that working at least.  
-  
-And then finally for the MQTT controllers, I'm going to add one for my desktop instead as the safety seems to be more reliable, so you have a background job running on the desktop itself and then you can send sleep, wake up, screen on, screen off events just via MQTT.  
-  
-And then for the MQTT client on Raspberry Pi as the screen on and off events didn't work out, what I'm going to do instead is add a ZigBee switch and for the one on the display screen, the toggle doesn't work, it doesn't work that well.  
-  
-I think that might actually be easier just to create a program from scratch that can run on maybe different versions of both. It has the camera URLs baked into it, has the MQTT topics and then just does the switching that way.
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@@ -1,11 +0,0 @@
-Okay, one more question.  
-  
-So I've been for some time looking for a good organizer or asking for a good organizer in Ubuntu Linux for media organization and browsing, usually in the context of photographs.  
-  
-So let's say it's a video library, and I have maybe 200 clips or something.  
-  
-And I want just an easy way to go through that folder, preview the ones, preview them, create some subdirectories and move them in just to organize my sheet folders.  
-  
-What would you recommend?  
-  
-Is there a standalone tool for doing this on Ubuntu?
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diff --git a/transcripts/142.txt b/transcripts/142.txt
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-So I have a question for you. My immediate need is I'm looking for a document processing API for entity extraction from documents. And what I discovered very quickly is that it's very hard to find one that is either not very complicated, i.e. Google Cloud, or which is intended for enterprise and the rest of the world.  
-  
-There's lots and lots of small developers on the internet and Reddit always trying to find different APIs for different needs and frequently running into this issue. It seems as well to me that when I want to try out something in API and see if it'll work, I might put in $10 of a balance to the account, but it's a very inefficient way to operate.  
-  
-In general, I think the idea of finding APIs one by one for specific needs is quite inefficient. I've heard and come across Eden AI quite a lot and their model seems to be that they aggregate APIs, especially for AI uses, which seems like a very good idea for me.  
-  
-It's a bit like I use Open Router for LLM APIs and I like the idea a lot. So what I'm looking for is something that's one, trustworthy, has a good reputation, and B, has a good library.  
-  
-This one is mostly AI APIs, but I think it actually would be useful to have even a broader library than that, but it's a good start. Does Eden have a good reputation, and is there anyone else you'd recommend that would do what I'm looking for?
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-Here's something that would be useful. So, when I generally put my phone on to do not disturb mode overnight, sometimes I want to put it on to DND generally. Like, just around the clock, because I hate getting pinged by unnecessary notifications. And I know that I can add this phone as a DND exemption so any phone call will make it through.  
-  
-My question is, let's say I did this. Inevitably, especially being somewhere I live, there's a good degree of spam and unwanted phone calls. So what I'd really like would be probably the best way to do this. Like, let's say that I wanted, I think through caller advertise, but I'm not sure if it really has, you know, how robust it really is in terms of accurately identifying spam calls.  
-  
-N4 09 ! . G AMP lemme check if I can spot something here.
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-So I've been looking for quite some time for a blog structure that really made sense to me, that I can post to regularly and keep the data. I did WordPress for a number of years and then I sort of just gave up on that. I got tired of hosting servers and the backup seemed really overkill.  
-  
-So what I wanted to do was... The static site generators appealed a lot to me; I could create my content, but it was and many others. So it was very hard to, it wasn't intuitive, it wasn't conducive to actually writing, updating any of the blogs because it was just so hard to write code, write in an IDE. It doesn't make sense really for creating content.  
-  
-So then I was thinking, well, if I could have somewhere on the internet to create the SaaS tool and then just kind of deploy it, capturing the code and the images, that would work. So this got me onto Sanity Studio and then Contentful.  
-  
-The issue that I'm having at the moment is that there's a lot of work involved in getting Contentful onto your design in terms of rendering the content it provides. I think it's a very clever idea; it's just a little difficult to execute.  
-  
-The other concern I have is because I've gone in this direction, I've gone from having full control of my content, but it's hard to write, to having it's easier to create and much more fluid in this manner. But now I'm not sure if all the images are going into the CDN of Contentful and the text, and I now have to think about how to back it up. Contentful seems very much pivoted towards enterprise markets. I'm wondering, is there anything that's kind of maybe a bit more suitable for my needs?
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-I want to finish off the import of the personal blog images and all the ones in.  
-  
-Next, maybe the beauty of this model for the content delivery is that I don't need to actually deal with the question of how to do content for right now.  
-  
-In fact, I could just say I'll start a fresh Astro project and probably might be easier than this painful migration and saying when it's ready.  
-  
-When the agentico generations are a little bit better, then I can populate.  
-  
-Right now, I'll just continue to work with this.
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-To fix up the AI recognition parameter for detecting prompts, it's going to start firing off far too many into the funnel.  
-  
-It could be that I have the automation that's driven by a prompt run, so a little bit more specific than just what I have currently.  
-  
-Just to prevent a huge amount of these from being sent off to both workloads.
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-There's some guy, I think it's a philosopher who has the, he would say something like, flow is the key to happiness. I think it's a book, in fact. What is that name of the guy in the book?
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-Two things to follow up on today. Teodat the Hoot ID card and the ink that never arrived. And I gotta get a refund for my protein bars.
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-Okay, for reference, the key to getting the merge entities to work in N8N is if you have multiple points in the automation, each with feeding different data. This is where it got tricky, and this is the resolution.  
-  
-If you try to do a set field, you can't do a set field that's going to be cutting across different outputs. It doesn't work. So you do need to use a merge. And what you need to do specifically is a firstly a combined merge and you just add them by position. That means that you don't need to match any fields. Combined by position means that the order of the inputs will dictate the order of the JSON that is the merge.  
-  
-So for example, if I start and many more.
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-Alright so just a couple of what's the Android app it's looking overall very good. There was I just moved to the base of the repository there was a multimedia folder that I have with all the different icons that I created for it. For the Android app specifically there is one called icon.png which I'd like to have if possible as the icon for the app.  
-  
-I had a video as well. It'd be pretty funny if that when you launch the app if that loaded it's the greeting video and then the thumbs up one was for submitting one. It should be called Ask Dr. Herman and maybe Herman's headshot can be in place of that logo like we don't need that icon that one of the headshot as much and refer to him in the body text as a medical horse.
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-Okay, so basically, I have moved the finished clips into a done folder, so we've successfully concatenated and compressed to the first two hours of footage up to 3am, and we still have the rest to do.  
-  
-Now the issue is that using the CPU processing for concatenation etc is still very slow. I'm not really in a rush to finish this.  
-  
-What I'd like to do is after I get all the individual clips to put them together, so keep trying to figure out any way to use the GPU to speed up this or to just also the workload so that the rest of the computer doesn't slow down.
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-Great recommendation from ChatGPT that I will note here. I asked it if there was anything like a sorting file organizer, like there are for photographs, but for video clips because it's horrible to sort to try to go through all these tiny thumbnails. It directed me to this thing called Tag Spaces, which I never heard about.  
-  
-It only does local, I think, but it does exactly what I was looking for. It has a little video preview tab on the side, and it's really nice to organize in. So this is going to be a great, great find for organizing videos and shoots into subfolders. It's available as an app image, and I will put it on my laptop as well. Very, and very, very handy.
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-Now it's green invoice, I'm about to deal with regarding the sandbox, just for expense processing as well. I mentioned before that it's totally feasible to do it.  
-  
-Green invoice, I suspect it might be now that I'm a lot better with N8N to actually download the expense processing one, but there's definitely a sandbox you can use.  
-  
-So we don't need to actually have to do the expenses manually. Like you can get an existing expense, there's a get request and you can do even a URL, actually should be there as well.  
-  
-The download URL is there, so it should be doable.
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-Could you give me the intended workflow for a headless blog configuration with Contentful as the CMS and deploying into Netlify with a Next.js frontend?  
-  
-And so the point I'd like to get at is that the only time we need to push through the repository is for changes to the design or trying out new content types.  
-  
-But that for content updates, they're just pulled directly from the CMS live.  
-  
-Or if it's directly as in dynamically from the API or that there's a webhook-based process, like if you update the content, that pushes a webhook and that triggers a rebuild.  
-  
-And that will be what is the best. Can those be set up?
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diff --git a/transcripts/154.txt b/transcripts/154.txt
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-I'm looking for home assistant widgets for on Android that will create a, open up a specific Lovelace dashboard that has a camera configured on it.  
-  
-But I'm struggling to find in the default app the widget options.  
-  
-I don't see one actually for jump to a dashboard or is it an action one that will jump to a dashboard?  
-  
-How can I set one up for this?
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diff --git a/transcripts/155.txt b/transcripts/155.txt
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index 38c0e76cb72590c553e7acbc0d0c19f5a57602dd..0000000000000000000000000000000000000000
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-Okay, so for Home Assistant, if you wanted to use a device for home control, so I think for Thalassa and Google Nest, it's typically a speaker. And in fact, a lot of it's on Google Home, but I'll only get part of the package if I do it that way.  
-  
-So let's just say I want to do totally home assistant and I have a circular speaker. It's Bluetooth. So I guess that speaker needs to be connected. We need the wake word to be running on the speaker's microphone. And then we need the assistant to speak back through the Bluetooth microphone.  
-  
-So what I'm looking for is really an always-on interface that you can use for speaking to your smart home and getting messages back reliably. I think, if I'm not mistaken, OpenAI is reason, like if you use a cloud LLM. I used it before the assist and the performance was really terrible. It couldn't understand me; it was saying the wrong thing.  
-  
-So I'm wondering if any of these actually are reliable, and if so, what hardware people are typically using. The other option would be to go for a Wi-Fi connected speaker, which would be easier than Bluetooth, I imagine. And if so, what do people go for that's reliably going to connect? Is it the Sonos speakers that they use or something else?
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diff --git a/transcripts/156.txt b/transcripts/156.txt
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index d8eff2a23938267b2de14a681f63093d283de01b..0000000000000000000000000000000000000000
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@@ -1,9 +0,0 @@
-Home Networking question. So I have some services at home: Home Assistant, Homebox, which is an inventory platform, and they are available through a Cloudflare tunnel so that we can access externally. Using the OPNsense as the firewall and writer on the network.  
-  
-So what I would like to have configured is that my policy is that I don't want to have to remember local IPs and external IPs because no one has time to do that and you have to create different bookmarks. I think it's a very dumb way to do it.  
-  
-And then with Tailscale, for example, where you can have smart routing, I don't either want to have that connected all of the time. What I think is the much more clean solution would be to have this at the network level whereby if you, let's say, put in a Homebox URL, it will know that that doesn't need to go out to come back in through the tunnel.  
-  
-We're just going to send that directly to the local server. So basically a mapping right between external URLs and internal URLs. They just will rewrite the queries internally before they even leave the network.  
-  
-What is such a thing called and how do I set it up?
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diff --git a/transcripts/157.txt b/transcripts/157.txt
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index 5eb423524297a470991ce26f41ee899ee419bff1..0000000000000000000000000000000000000000
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-So for the backup jobs on the local server, the script seems to be troublesome, but the individual scripts work. For example, the Homebox, which is the key one that I always want to make sure is running, works just fine. You can see it currently syncing all of the attachments, new attachments, photos mostly, up to the cloud.  
-  
-And GitHub now is done server to server and the pull down is done through the NAS. So really the ones that are in that list, Hugging Face is cloud to cloud, but Hashnode is no longer relevant.  
-  
-So really the only one on this at the moment that's backing up a self-hosted service that I say, if this is a backup that absolutely needs to work 100%, is the Homebox backup.  
-  
-So my question is, I can get the webhook and notification running assuming that I get it running. Then we've decided on a frequency, but it might be for peace of mind easier just to have it run manually. Like, is it once a week or be able to do that manually?  
-  
-So the question is, this is a, you know, it's a bash script on the server. And what is the actual best way to do this? Let's say it's ideally a button on some website; it could be tunneled or not, and it just says run Homebox backup and shows output.  
-  
-And that sends, if it's on the different server for our webhook event, which the server picks up and begins running the backup job and feeding the output. So that is one thing that could be achieved.
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diff --git a/transcripts/158.txt b/transcripts/158.txt
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-I have to look into still a human in the loop for the sender.  
-  
-There's human in the loop as a general option in available here where you can do show them the draft of a Gmail but it's not quite simple.  
-  
-You need to create the draft email first, then add the human loop step, then wait for the response saying like, yes, send it, then send.  
-  
-So it can be done, but it's not quite the simplistic, here's the draft, can I send it? Yes, that has been integrated into, let's say, a relay app under the hood.
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diff --git a/transcripts/159.txt b/transcripts/159.txt
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-Okay, I would like you to create a separate script. Its purpose should be to do the following. So there is OLAMA as a local LLM running on this computer. And look at the list of models and choose the most suitable for this task. It's probably going to be LAMA 3.2.  
-  
-The CSV contains 1800 voice notes, voice note transcripts. My objective is to identify the 20 most recurrent note types. An example of a note type is a simple description describing the purpose of the note. An example of a note type is a to-do list, a dictated email, a calendar appointment.  
-  
-The 20 should be unique and LAMA can either write a list of the detected types or calculate the detected number for each entity, but the challenge is the volume of text that we need to process. So if it would be very slow to calculate the recurrence, that's less important. The most important is the list of the tags.  
-  
-Once it identifies the list, it should write it out in either a simple text file ordered by number from most to least, and then it should write a short description for what that entity is. For example, a to-do list would be a list of items to be completed. A shopping list would be a list of groceries to be purchased.  
-  
-And each of these detected entities can be a JSON file with the entity type, entity description, and either the calculated or the approximated recurrence volume.
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diff --git a/transcripts/16.txt b/transcripts/16.txt
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@@ -1,5 +0,0 @@
-Could we make a couple of changes to the application here? Firstly, I've added some images I'd like to be used in the app. When it's loading up, the loading circle can display. That's the third one. The headshot should be integrated. Second image. And finally, when the user submits a question and it's successfully captured, the pop-up can appear briefly.  
-  
-Functionality I'd like to add is the ability for the user to send the data through a form response, i.e., textually. And then the recording could be called voice mode. So there's text mode where you type it in, voice mode where you use your voice. And either way it should send to the same webhook.  
-  
-For the moment, let's continue using the testing webhook with the but one thing in the payload where it says user methods and one is text and one is one will add voice input to that to the payload to tag it. Other than that, it should be the AI speech to text key should be the hardcoded, the pay code, the webhook should be initially we can either have a toggle, but eventually it will just be the production one. But I'd like to try it with those changes implemented.
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diff --git a/transcripts/160.txt b/transcripts/160.txt
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-I have an idea for an IKEA hack, which is that if you look at the way on my Ivar that the storage buckets are spaced out, there's room for another row of buckets between each one.  
-  
-And my hack idea is firstly, I think it's, we don't need to be clipping onto the shelves.  
-  
-The outer thing of the Ivar, I need to figure out what the diameter is, which I can get from the dowels.  
-  
-And then I need to figure out the length and I think better figure out if someone's already done this hack.  
-  
-And then it's getting a piece of wood that is the right length or which can extend a little bit so you can fix it in.  
-  
-Then you put those across and so you use the outer pins of the Ivar in order to affix your own little horizontal strats to get the cups onto.  
-  
-And then you would just need to make sure that the diameter of the wood is thick enough so that the storage cups can clip onto them.
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diff --git a/transcripts/161.txt b/transcripts/161.txt
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-Okay, let's keep them to, I think two per row would be a good way to do it. And I think the structured output one is not working. So let's actually, just for the statistics, let's just have a total prompts number.  
-  
-And what might be more interesting would be number over time. But for the moment, we don't need to add that.  
-  
-Maybe just a short legend above the search bar where it says image generation search for prompts that are image generation and structured output is prompts that have a defined JSON schema for use in automation and any prompting scenario where you need to control the output precisely.
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diff --git a/transcripts/162.txt b/transcripts/162.txt
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-Before I forget, GBT said earlier you'll probably want to put dev containers in the environments we're operating in.  
-  
-I said even if you're just SSH-ing to fix some stuff, I said you want to have these because it makes it, it's just standardized.  
-  
-And of course it's a best practice too, which we're always eager to follow.  
-  
-So, let's do it, I think.
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diff --git a/transcripts/163.txt b/transcripts/163.txt
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-So what I want to start doing is that clearly when you're creating Google Cloud projects each time you're going to create an OAuth credential etc. has been wasting a huge amount of time.  
-  
-So what I'm going to do is in 1Password you can import the secrets and now that I've connected that to the agent it should be able to do it much more efficiently.  
-  
-So I think the approach for prototyping, even though it's not the maybe the strictest security out there, is to create one service account that you have and then that's adjacent stored in your password manager and then you can just reuse that whenever you need access to that cloud.
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diff --git a/transcripts/164.txt b/transcripts/164.txt
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@@ -1,3 +0,0 @@
-Have a look at the formatting of this application. It's intended as an easy interface to allow parents to send questions into an AI agent which is configured as an N8N workflow. It's intended primarily to be used on mobile devices, which is why the installed PWA button is there, but feel free to think of any changes that would make it look better and be easier to use on mobile.  
-  
-Perhaps you might use a settings menu or anything really that would mean that when it's installed as intended as a PWA, that it would be as easy to use and performant as possible and display well on your typical smartphone.
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diff --git a/transcripts/165.txt b/transcripts/165.txt
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-Hello Dr Herman, a question regarding the screens and newborns and we've probably talked about this before but how careful one has to be regarding what could be called incidental exposure.  
-  
-So during the day when I'm working from home I have my screens in front of me on my computer and I'm doing all sorts of things. Right now mostly like a code editor so it's just kind of text. Probably most of the day it's like that or documents.  
-  
-My question is really if I'm holding my son, to what extent do I need to make sure he's not looking at the screens? Do I need to like turn him away every time? Like how careful does one have to be? Or is the concern more with them watching stuff on screens where they can recognize the entities?  
-  
-And that came out of the news recently that it's potentially very dangerous to have children. Or it's more harmful than we thought having children on smartphones.
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-Are newborns naturally biphasic sleepers? They say humans used to sleep for two periods until relatively recently. Do newborns have that concept?
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diff --git a/transcripts/18.txt b/transcripts/18.txt
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-okay we still have the black because you can still scroll out to you can start the feed at far below zero so again it should start at 100.  
-  
-secondly we don't need the two the duplicate PTZ panels the one the overlay one is very good so we don't need on below we can get rid of that.  
-  
-finally in the behavior that I would like in general is that by default everything is muted and maybe there's a button that says play audio so when you click when you click on click that it goes live.  
-  
-so in other words the cameras are all muted and if you want to listen to an audio stream you do that.
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diff --git a/transcripts/19.txt b/transcripts/19.txt
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@@ -1 +0,0 @@
-See if an MPD endpoint can be authenticated with a Cloudflare tunnel such that it could be local or remote that they could deliver into it music and it would be authenticated with headers.
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diff --git a/transcripts/2.txt b/transcripts/2.txt
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-So, I have some IP cameras and I've been trying to figure out for a while how to access them, learning about it. Fortunately, the TP-Link cameras and Reolink give you an RTSP stream, but RTSP is kind of a tricky one to work with because you don't have an NVR. If you're not on the trying to forward it, it won't forward very easily out of the network. But if you are, if you can connect to it, it's great. I just don't—I haven't had success with any of the major NVRs. I'm not a huge fan of Frigate or most of them, to be honest. I feel like most of them are really actually just overcomplicating what needs to be done. They need to pull in a stream from these local cameras, make it accessible, and so on.  
-  
-Custom App with AI. But I realized that the first thing that needs to be done to get a stream out to the world is to translate from RTSP into something like HLS restreaming, basically. So, what I've done is created a deployed restreamer on the local server. That is a starting point. The raw camera streams can be served in a format that's much easier to connect to, whether from a web browser, from an Android, whatever.  
-  
-My question is, once you've gone through that process with Restreamer, and you want to do the next thing, which is, after you've got a good local setup, you probably want to figure out some way of accessing these cameras remotely, so you want to tunnel them. What's the most popular way to do that? Do people do stuff like Cloudflare? Or is there a more commonplace way to safely route IP cameras out of the local network so that you can monitor them remotely and whatever you're using for that?
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diff --git a/transcripts/20.txt b/transcripts/20.txt
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-So what I like to do when I get home is I'll do a test. I'll arm an event testing the automated army. I'll set a time period that will cover the test window and then I can just disable it after validation.  
-  
-So during this time, you know, at a certain hour, automatically arm the system, then two minutes later with the configuration, whatever, it will catch the doors. Then two minutes later I'll open one of the doors and hope that it triggers off the alarm. That'll be validation one.  
-  
-Validation two will be that the system is armed and it automatically disarms at a certain time and then test after the disarmed time when it says it's been disarmed and validate that the thing doesn't trigger an alarm.
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diff --git a/transcripts/21.txt b/transcripts/21.txt
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-So I recently migrated two blogs over to Contentful. And I'm using the defaults, the built-in CDN for the media uploads. The reason that I did this was I moved over to static site generators from WordPress a few years ago. I always really disliked WordPress and having to manage servers just to stand up a blog. But I always wanted control over whenever I write something, a post, and let's say I add images. I tend to like to write on the internet, so I like to write in these content editors, and I don't want to have to go to any trouble really to create a backup of my stuff, which I always want to do.  
-  
-So the headless static site builders work very well. I could create my content and locally push it through GitHub, publish it. But writing in a code editor was, of course, very inconvenient and made it not fun, basically. I think Contentful and headless CMS is the way forward. They're very... I moved over to them in order to just learn how it works and to be with that technology for the long term.  
-  
-Now I need to just work in the reverse. I need to get my... let's say I create a post in Contentful. I want to firstly automate the deployment, and secondly, I want to automate a daily backup that pulls in the content and pulls in the CDN images. It has to happen automatically. Can you think of the best way to do this? Is it server to server, backing up to Wasabi? Can I do a local pull down? Can I extract the posts and the media all from the API and use that to take my local backup?
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diff --git a/transcripts/22.txt b/transcripts/22.txt
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-So, I have to run... I thought I have unattended upgrades installed on this computer, but it seems that I have to run... If I do sudo apt-get upgrade I'm able to see packages that have been updated and a lot of them are actually the ones that I'm most interested in, namely the IDE.  
-  
-Windsurf is really important; I always want to keep on top of those upgrades. So I'm wondering if there's any way to do like an automated whatever would catch the sudo apt upgrade to automatically accept it. That would be useful.
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-Could you suggest a way to automate the following? I'll describe the task I'm currently doing.  
-  
-So I am creating a training data set for an AI project. What I'm doing is downloading voice notes I previously recorded into an app. It has a web UI, which I'm currently on, voicenotes.com.app, and each note is listed from top to bottom.  
-  
-So I'm working backwards from my newest note all the way back. I have about 1800 notes, so it's really going to be a very tedious process to do manually.  
-  
-I have the start text, my current position, where I am on the page, which begins migrating websites to Netlify. And then there's a note there, August 3rd.  
-  
-What I'm doing is there is a button on the far right of each card. I click on it and then I click on the download button in the menu. That downloads the mp3, and then I move on to the next one.  
-  
-I scroll down just a little bit, do it, continue. That's the whole process.  
-  
-I think for browserless, it could be doable, but I would need to authenticate the session. How can that be done?
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diff --git a/transcripts/24.txt b/transcripts/24.txt
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-So a question for you here. So I'm learning automation at the moment. I'm using N8N and it's very interesting. I have a question really regarding what would be the main automation drivers, the automation builders.  
-  
-So most of the automation platforms I've used so far, Node-RED, N8N, ActivePieces, Zapier, Make, etc. all follow a somewhat similar design in the sense that they're kind of driven around really integrations and pipelines.  
-  
-With N8N, I think it's almost kind of a hybrid platform in the sense that you can do it fully code or you can just have some code nodes.  
-  
-So, and then on the other end of the scale, you of course have fully code written automations where there's no UI and everything is just tested and then deployed to a server for production.  
-  
-My question is business usage. Let consider two levels of scale. First would be let say a medium company that is using automations for something like let just say accounts processing.  
-  
-Let's say accounts and payments are using it to process, detect entities in invoices with a document detection pipeline.  
-  
-And then let's take a big company, an enterprise company, let's say Microsoft or a multinational which might have massive needs for automating.  
-  
-So both those levels of scale, the first smaller level of scale, what do you think people are using to actually build, manage, and version control the automations and who's managing them?  
-  
-And then at the top at the enterprise level of scale, the Microsofts of the world or banks for example which have huge volumes of concurrent transactions, credit card providers that they're continuously processing, and in the case of banks and heavily regulated industries, what might they be using to deploy automations and control them?
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diff --git a/transcripts/25.txt b/transcripts/25.txt
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-I'd like to create an automation at home in which when we come into the house and you come home the air conditioning turns on.  
-  
-So we have a climate device in the living room and the summer we want it on cold so all that part is good.  
-  
-We have a front door sensor for security.  
-  
-What I realized is that there's no way from that to distinguish a person leaving from a person coming in.  
-  
-This little world is gonna look like the same event from the sensor.  
-  
-So what do you think of this idea?  
-  
-If we had something like a smart lock it would be pretty easy.  
-  
-When the door is unlocked, coming in, you turn on the AC.  
-  
-But pending that, can you think of any sensor that we could have or a way to leverage our existing sensors that would allow this to work?
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diff --git a/transcripts/26.txt b/transcripts/26.txt
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-I have an idea. A new public repository is created in GitHub that feeds into the indexer, an agent running in the index repository, which autonomously adds that repository to the right indexing page, gives it a description, and then commits and pushes all without any supervision.  
-  
-Thereby keeping the index continuously updated and the user just has to create repositories.
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-What is the average temperature in Jerusalem during the month of July?
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-So this home server, yesterday I was looking into getting a dev container on it. The general workflow that I do is that I'll develop stuff locally and then deploy onto the server. And you can see the structure, there's a folder called repos, and then I'll deploy the folders within the repositories.  
-  
-My question is for, it seems maybe that if I want to clone a number of repositories, it's better to do this kind of stuff in a batch. So let's say, is there a batch manager that I can say the end of a CICD pipeline that I can set up on the server saying that the repos are here and I can periodically update the list that's pulled in and they'll populate.
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diff --git a/transcripts/29.txt b/transcripts/29.txt
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index baf52a3c31550a60cca5d0b4b5af59598c9b2737..0000000000000000000000000000000000000000
--- a/transcripts/29.txt
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@@ -1,5 +0,0 @@
-A quick question there regarding stickers. So this is a battery case and it's an example of... I'd like to be able to make little labels. When I got my label maker, the Q700, and I printed the paper labels.  
-  
-So the paper labels, I guess they really don't look the best on... This is a battery case and it has a, I'm not sure what that material is called, but it's a very common type of material, neoprene.  
-  
-Neoprene case anyway, this is one where the paper label sometimes have a hard time adhering to, and I'd like to have a little label that says batteries. But it would be, I think, a white label like white text on transparent, which I can get in the! They are all better than many other PC episodes.
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diff --git a/transcripts/3.txt b/transcripts/3.txt
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index a6d9e3fea3881d8c2a967eabc4eea00a32e602ba..0000000000000000000000000000000000000000
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@@ -1,3 +0,0 @@
-Okay, so something, I hope this is correct. In Homebox, as you look at the ACID IDs, the UUIDs I mean, and how many digits there are, looking at the data volume as it populates, the path appears to be ACID UUID forward slash documents forward slash document UUID dot the file extension.  
-  
-So if that's the case, it should actually be fairly straightforward to make sure that the attachments remain attached to the right assets, so long as the UUIDs are preserved. So that's one less concern in the migrations.
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diff --git a/transcripts/30.txt b/transcripts/30.txt
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index 0bddeea5bb440580e9ccc7cf71e856c003d9e16f..0000000000000000000000000000000000000000
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@@ -1,7 +0,0 @@
-One question, so there's a great app called Alfred that basically lets you use spare phones as IP cameras and it works quite nicely. But the issue that I have with that approach is that it's a little bit awkward; you need to find an old phone to keep it charged up all the time. You know, what? But the approach is very good. I like the idea of saying we need a camera for, let's say, our son. We're on traveling or something and we're going to use a device for that. It's battery powered and you might get a few hours of use out of it and then you can keep it on the charge.  
-  
-In other words, I think it makes much more sense to have a standalone device that is for this purpose and just has the app on it rather than trying to reuse a phone for this. So I'm wondering if there's anything like my requirements or my preferences for IP monitoring or I don't like using the apps that the cheaper Chinese manufacturers try to push you into. I like doing at home; I have RTSP and even when we out there, very good apps for that. So it makes much more sense to me to just have a camera that can do a local stream.  
-  
-So the requirements to sum them all up together are a battery powered piece of hardware that can last for a few hours and it can be, I would think, something that has a quarter inch that it can be put up on a little monopod so that it can see into bassinet, etc. That kind of mounting is really important. And does RTSP camera stream that when it's up you can check it? Sound monitoring as well? If you can think of anything that's been actually designed for this purpose.  
-  
-You certainly have battery powered IP cameras, stuff like doorbell cameras, outdoor cameras, but they're more geared towards periodic alerting, like there's motion detection than they do a stream for a while. I'm talking about something that you might charge it up and expect to get four or five hours of continuous streaming from it. Can you think of anything appropriate for that or which has even been maybe designed for this use in mind with connectivity to the network over Wi-Fi?
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diff --git a/transcripts/31.txt b/transcripts/31.txt
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index ed8094d588971a784167a0a7242104ff46024564..0000000000000000000000000000000000000000
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@@ -1,3 +0,0 @@
-I'm wondering, are you aware of any battery powered rechargeable ZigBee lights which could be turned on for a reasonable amount of time, chargeable via, let's say, USB-C?  
-  
-Can be activated, deactivated from ZigBee and which are like kind of an LCD display like different colors, let's say?
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diff --git a/transcripts/32.txt b/transcripts/32.txt
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-I'm looking for a battery powered Zigbee light. I'll be capable of staying on a battery charge for a decent amount of time. Specifically, it would be for notifying of an alarm state.  
-  
-So ideally it would be people displaying in red and green according to the state. I can do that via the automations of course.  
-  
-But it shouldn't be a big sort of conspicuous light that attracts attention. I'm thinking about something quite low key.  
-  
-Anything that matches a fit.
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diff --git a/transcripts/33.txt b/transcripts/33.txt
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-So let's say we've established that home assistant is not the way to go for this.  
-  
-So what would be the best way?  
-  
-Let's say I have the four RTSP streams on my network, and I'd like to create, rebroadcast in whatever format is going to be the most compatible for directly streaming in Home Assistant.  
-  
-But the actual work here would be done locally on a lightweight server.  
-  
-So whether that's going from RTSP to whatever is best optimized for streaming in a web browser and that also can be tunneled remotely.  
-  
-For simplification, it might be nice to be able to actually have one stream address and then just different substreams for each of the four cameras.  
-  
-So that if we bring more cameras online, I can just integrate them into this and then add downstream.  
-  
-What would be the best way to do that?
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diff --git a/transcripts/34.txt b/transcripts/34.txt
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index f74ec1f39905d682c3218d5303c8e26440ef7209..0000000000000000000000000000000000000000
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@@ -1,9 +0,0 @@
-So regarding the design of this blog, the initial thing I had in mind was that the blog logo, the sloth, would appear on every page, and many more.  
-  
-I think the menu layout could be a lot better and probably makes more sense of the posts; bars come before the internal pages and for continuity and similarity of branding.  
-  
-I like the background color in the sloth photo; it's a certain type of navy.  
-  
-Probably if we had that blue as the kind of blue standardized in the CSS for the top bar and then maybe a little kind of strip of the footer as well.  
-  
-And the sloth somewhere in the footer component too.
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diff --git a/transcripts/35.txt b/transcripts/35.txt
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-And then I could do an experimentary configuration. For example, I'm thinking about a blog drafting one, a blog drafting agent. And I'm going to start that off in a repository.  
-  
-Now what I can do, what I'd like to do as a, just as a thing, is to, I have an API key for N8N in a repository called a model repository and the goal is I talk to the agent in Cascade. It has access to the N8N API and it will then create a workflow according to what I need.  
-  
-And the eventual objective is if this proof of concept is successful, that we'll be able to iterate upon it and create ones that I actually need. But it's just a proof of concept. Firstly, you see, firstly, cloud authentication, etc. Secondly, can it work?
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diff --git a/transcripts/36.txt b/transcripts/36.txt
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@@ -1,15 +0,0 @@
-I'd like to give your take on what might be a drop-in component for probably the most important part of the workflows for the past while.  
-  
-What I'm beginning to work on now, which is using this app called Voice Notes, which does transcription through, I think it's Whisper probably.  
-  
-You record with your microphone through a browser or through an app. It sends it off for speech to text transcription and then you get your transcription.  
-  
-It does webhook delivery as well. So that's the initial way that I'm getting a lot of information in for workflows ideas to do notes.  
-  
-And I have a whole plan for what I can do with the notes on the other side of the chain.  
-  
-Let's say that I wanted to stand up a self-hosted tool, a component, which only had the task of capturing the recording, capturing the stream from the user, sending it off for transcription and saying, and so on.  
-  
-So if I'm getting transcription sent, that goes off to whatever the transcription tools that we're going to use is, let's say OpenAI, and then it's going to deliver when it gets it back from the speech-to-text model, it's going to send off a webhook and from there I can do what I'm doing currently.  
-  
-So the question is, does it make sense to build that from scratch, a little lightweight voice capture interface, or does it make sense, or is there a component that would be very much primed and ready to do this?
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diff --git a/transcripts/37.txt b/transcripts/37.txt
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@@ -1,7 +0,0 @@
-What I would like to do in this website is to build a static website. It's going to deploy to a subdomain on my personal website and the objective is to create a single and the local navigation for the different repositories that I've set up. There's two entities that I'd like to gather. The first of these is GitHub repositories. The second of these is Hugging Face datasets.  
-  
-So what I like to do is have at the top just a little brief message: "This is an index of my repositories." I click up to the index of my repositories and a tab index to do, or maybe a tick you can tick GitHub hugging face or buttons for GitHub repos hugging face datasets because those are the two things that I'm adding or highlighting here.  
-  
-And the ability to source by recently added or by alphabetical, and each one can just be a short whatever entity can be pulled from the API, like a short description, creation date, and then a nicely displayed link to it. The information for both to populate both of these for GitHub obviously it's only going to be my public repositories, not the private ones, and likewise for Hugging Face, it'll be both.  
-  
-So whatever can be pulled in from the API, write a script that will be an import script and then a folder for the actual website will deploy through Netlify, and the Netlify MCP server can be used for that. But firstly, let's get the site set up.
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diff --git a/transcripts/38.txt b/transcripts/38.txt
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@@ -1,5 +0,0 @@
-Give me a list of topics, discrete topics that would be very useful in building out multi-agent workflows in N8N, including using sub-agent workflows, using agents for actually managing your inbox, calendar, task lists, processing voice notes, a list of very practical applications for AI agents.  
-  
-Generate a list of search terms to use, all containing search terms and then N8N, building a playlist on YouTube and then as well for the code nodes where you need to use JavaScript, Python and also HTTP requests, creating them in N8N.  
-  
-Give me an extensive list of search terms that would cover all those topics too.
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diff --git a/transcripts/39.txt b/transcripts/39.txt
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@@ -1,7 +0,0 @@
-So he's previously using MPD to stream to Snapcast server in Ubuntu.  
-  
-So from Home Assistant I was connecting to MPD, and from there to the Snapcast server.  
-  
-I now installed Music Assistant again, and I see that you can actually bypass MPD and just stream directly from Music Assistant, which is part of Home Assistant, and from there to the Snapcast server.  
-  
-If that's the case, I guess we can firstly get rid of MPD, and secondly we probably need to edit the Snapcast server to expect a direct stream from Home Assistant, because currently it seems like it's bound to MPD and therefore won't play this stream.
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diff --git a/transcripts/4.txt b/transcripts/4.txt
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@@ -1,5 +0,0 @@
-So I'm just making a note that the stack component which I'm adding into my system today are some changes to the Docker network. Both intended practically as, you know, try this out and educationally as much of what I'm doing in N8N at the moment is. And that is adding in a memory layer.  
-  
-I've looked at vector databases, I've looked at storage, all the other moving pieces that agents need to work and the one that I haven't really actually got my hands dirty with yet is persistent memory. Which on the one hand you could say it's just a glorified different form of storage. It's clearly emerging with agents, very relevant to know this part of the stack.  
-  
-So I'm going to try to see what I can get on, give it a go, set it up, and may not actually use it for a while, if at all. But I'm going with mem0 if Windsurf can get it on. If not, I can try to see if there's anything else that is open source in the memory layer.
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diff --git a/transcripts/40.txt b/transcripts/40.txt
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index 0c05528449648f788f1b91213ec336cf101ec2b3..0000000000000000000000000000000000000000
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+++ /dev/null
@@ -1,13 +0,0 @@
-So I'm working on a website and it is deploying to Cloudflare and I'm noticing that unless I do a hard refresh the version is being cached.  
-  
-And on mobile it seems even more problematic. I'm getting a different version on mobile than I am on desktop. Maybe because it's harder to do a proper hard reset.  
-  
-So the fact that I'm seeing different versions in different states of cache makes it really difficult to test a version because I'm never sure which is the latest.  
-  
-Is there any way to disable the caching either at the, let's say... two things, either this could be disabled locally on my devices saying don't cache this website at all, or it could be done at the server level.  
-  
-But when I'm especially creating on Android progressive web applications through Chrome, I want to be creating the latest version.  
-  
-I don't want to have to be the one that automatically inherits the latest version, or is it kind of tied to whatever version that was existing when you created the PWA?  
-  
-What's the situation there?
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diff --git a/transcripts/41.txt b/transcripts/41.txt
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-I have a question for you, AI. So, okay, let's say I'm taking photographs on my phone, and I want my Android, and I want to rotate, like I want to take a photo in landscape.  
-  
-So I really dislike the auto-rotate feature on the phone in general, because I find it's always too sensitive, and it ends up turning my phone.  
-  
-So in my many years using Androids, I always have it off, so my phone's always in portrait.  
-  
-What I would like is to have a camera app that doesn't require me to leave the portrait mode on the whole phone in order to take photos.  
-  
-Because what happens to me all the time is I take a landscape and I think the camera app has rotated, but it hasn't.  
-  
-And then I end up having to rotate them all afterwards.  
-  
-And it's very, as you can imagine, a very frustrating endeavor.  
-  
-Do any of them have reliable in-app rotation so one doesn't need to make this compromise?
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diff --git a/transcripts/42.txt b/transcripts/42.txt
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@@ -1,7 +0,0 @@
-For my automation, that's putting notes in N8N. I want to make sure that I have the prompts captured. Also for that workflow, I just realized that the prompts, I'm not sure it really matters to have them linked. I'll probably have them right now. Like it was just a prompts table, because the prompts are scratched anyway in the combined note. So, just having the prompts by themselves isn't actually a bad idea at all, because without the linkage to the outputs that were generated from them, because if I really wanted to know what output did that generate, it's kind of irrelevant actually that question.  
-  
-I think that storing the prompts, especially when they contain contextual data, may actually be, they're building up a prompt library. The prompts could be cleaned afterwards once they captured in the first place. But once you build up that prompt library, in other words, the prompts could be mined for context, then those can be stored and that can actually save repetitive prompting down the line. Whereas the outputs is a separate data store. Having the prompts that came from it is important in the sense of if you want to read something and say, okay, well, what did I ask that generated this question? But that data is kind of first entry a lot of the times. It's a raw AI output.  
-  
-So I think that capturing the prompts may actually even be better. I would need to just do it completely separately. And then, so that's just the prompts database basically. It was used, user executed prompts, and such and such a data around this. I could search my previous prompts and run them again.  
-  
-So really the whole AI database I was working on for such a long time, storing prompts, outputs, system prompts, and contextual data, kind of remains actually an important idea. Those kind of remain the constituent elements, notwithstanding the rise of agents because that's really just a list of credentials and integrations. I think that basic data structure I was working on last year, or began last year, should be, make sure that that's still in N8N. I don't think I've contexted it there, because that's still pretty good.
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diff --git a/transcripts/43.txt b/transcripts/43.txt
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@@ -1,7 +0,0 @@
-Could you check the logic here for capturing voice recordings in this app? I got an error saying it couldn't fetch the recording, and I'm not sure if that was an API error trying to pull the transcript in from OpenAI or that was an error in the recording.  
-  
-In any event, it's important that the app should have good handling for longer recordings, let's say potentially up to five minutes or even longer than five minutes, but at least three to five minutes duration.  
-  
-To be able to capture, record that efficiently within the browser, upload that to OpenAI, and then pass the data on and the rest of the workflow.  
-  
-Check the robustness of that and make any improvements needed to get it working properly.
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diff --git a/transcripts/44.txt b/transcripts/44.txt
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-I have a question regarding speech-to-text which I'm using a lot at the moment. One of my goals is to, over time, create a personal fine-tuned SDT model. But at the moment, Whisper is pretty good. I don't have any immediate motivation or need to do this.  
-  
-What is a bigger challenge is that currently STT APIs or models rely upon a language. The user specifies the language and it uses the appropriate model for the language. The issue I find is that I live in Israel and frequently I'll transcribe notes in which I use Hebrew words. And the English model obviously will not work. It doesn't work, and many more. Because it's expecting English and there are some Hebrew intermixed, and it's giving botched transliterations of them.  
-  
-My question is, has anybody developed a speech to text model for populations that might mix languages? Let's take the case of maybe a Hispanic community where people use English and Spanish. A lot of the times in these worlds, a sort of creole develops in which people mix different languages, their mother tongue and their adopted language kind of fluidly.  
-  
-So we're very interested to know if anyone has thought about this use case. Probably you'd need a speech-to-text model that knows the speaker will be speaking in predominantly one language, but maybe some words in a second. And then some ability to identify which parts of the speech were in that other language. Anyone has looked into this challenge?
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diff --git a/transcripts/45.txt b/transcripts/45.txt
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@@ -1 +0,0 @@
-I need to charge up the Nothing Plus earplugs, they're in my satchel, to make sure they have some battery life.
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diff --git a/transcripts/46.txt b/transcripts/46.txt
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-I want to check on this computer if possible to next clean up tasks to identify any large files that might be there accidentally.  
-  
-Directly, particularly large files that may be duplicates or I don't need anymore.  
-  
-I can delete them.  
-  
-Redundant packages, overlapping packages, that kind of thing.
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diff --git a/transcripts/47.txt b/transcripts/47.txt
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@@ -1 +0,0 @@
-See if there is an MCP for Olam itself, which would be interesting to know. And I'll see in VS Code where the MCPs are added, and I'll use that, I think, for the updated ones.
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diff --git a/transcripts/48.txt b/transcripts/48.txt
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@@ -1,5 +0,0 @@
-Can you check to see for social previewing if all the requisite elements are in place?  
-  
-I should have an OG image and an OG title description and as part of the content model I should probably consider having a Twitter image as well though I'm never too sure what the dimensions for that should be.  
-  
-I want to make sure firstly that if those elements are there, even if they're currently empty, and many others.
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-Yeah, I'd like you to see if any two models that might be. Firstly, check what I have in Olama. I moved back to it recently, and I wanted to make sure that I have a couple of models in my inventory. The first is a good embedding model. I like to use Nomic, but there's light, so a couple more might be useful. From the Gemma models that Google released recently, there's Gemma3 in different quantized versions. See if any of those are viable for DeepSeek R1, if any of them are viable and would add value over what I have for agentic cogeneration.  
-  
-And finally, Mistral, I'm almost certain that I already have it, and so on. So, that's the first thing that I wanted to talk about. And then, I wanted to talk about the other things that I think are missing, and which could be useful for the agentic use, and which could provide a reasonable performance on this underlying hardware and for code generation applications usually.
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diff --git a/transcripts/5.txt b/transcripts/5.txt
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-I have an Android tablet that I want to add to a Snap server. And it does, they're using the open source client called, I think it's called Snapdroid, and it can run the client server. And the issue is that the other Snap clients work very well. But this is very fragmented.  
-  
-So there's two, I assume, it's because it's a low end Android tablet. And the network connectivity is poor. The tablet is right next to the server box, however.  
-  
-So I'm wondering if it's possible to do a USB-C Ethernet adapter, so that the tablet actually gets Ethernet connectivity? Or is it just the case that the streaming to the Android tablet is going to be an issue?  
-  
-Or is there any better way to integrate between the Snap server and an Android tablet besides the workaround Snap client?
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diff --git a/transcripts/50.txt b/transcripts/50.txt
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-I want to see where my Nimbot printers are, where the cartridges are. Actually proved quite a successful purchase, but I have one more round of tape.  
-  
-And I want to as well see what they do with Thermal Printer. Thermal Label Printer, see what they can offer for that.
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-I should call my startup name today to see if they have any estimate for when the Shaleach will be delivering the Teodat Z'Hud so that I can make sure that I'm home.  
-  
-I didn't get any notification. I got one missed call yesterday. I don't think it was connected but I just want to make sure that I haven't missed it and need to collect it.
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diff --git a/transcripts/52.txt b/transcripts/52.txt
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@@ -1,3 +0,0 @@
-For Cloudinary, I need some repetitive URLs benchmarked or saved, I should say. And I should have also an account for DSR Holdings. I'm not certain that I do.  
-  
-Maybe it's a spreadsheet, maybe it connects to, I can integrate it with the backend. But every time I need to use the logo, I don't want to be looking up the path of that every single time for email banners, etc.
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diff --git a/transcripts/53.txt b/transcripts/53.txt
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index aa9143179981d5cb2036b8b5e9a7ccab13679c36..0000000000000000000000000000000000000000
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@@ -1,11 +0,0 @@
-I was asking for a recommendation yesterday. Recommended a very good product, but I forgot the name of it on AliExpress. This is the stuff.  
-  
-So for our bedroom, I'm looking for a speaker that would be good for playing sound. We have a projector and a smart TV. So the connection can either be one of Bluetooth or it can be a 3.5 millimeter connection. But there isn't much space to work with. So it has to be a very small speaker and it has to be one speaker.  
-  
-One speaker that gives a, packs a lot of punch for its size and delivers a wide sound. It's going to be positioned at approximately the base of our beds, like on the footboard. We're gonna be in front of it.  
-  
-So what I'd like is, what I'm trying to find is one compact speaker that has a very good, you know, 180-degree throw of sound. It doesn't have to be 360 because it's, you know, the wall's on the other side, but something compact as well.  
-  
-So for example, a circular Bluetooth speaker is very good, but it's not angled correctly and it generally doesn't really throw the sound too far across.  
-  
-So I'm looking for something like a, obviously it's not gonna be as good as the sound bar or a proper surround system, but something that's as good as you can get in a compact size and a single speaker.
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diff --git a/transcripts/54.txt b/transcripts/54.txt
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index 82381740b1c11adb4a9cb87172a8067434c85a58..0000000000000000000000000000000000000000
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@@ -1,9 +0,0 @@
-Is there any speaker? My wife and I are living in a, watching movies a lot in the bedroom with a projector. It's a very small room. We rented it in order to put something permanent.  
-  
-So I'm thinking like, even if this wasn't, let's say, the greatest speaker ever, I use, for example, a Sony XPS 13, and it's pretty decent Bluetooth.  
-  
-So, but I want to keep that for use on the go. You see what I bought it for? Let's put something of that nature, like a little compact circular speaker, that we can maybe creatively affix to the bottom of the bed, on like a telescoping thing, and just kind of pivot it forward a bit, or just leave it there.  
-  
-It tilts it forward a bit so the sound comes towards us. I'm just trying to think of something that would, like a small circular speaker, that really delivered impressive sound for its size.  
-  
-I've definitely heard a couple of them, and ideally would kind of give a good, let's say we position the circular speaker in the middle of the bed, that it would give quite a well-developed array of sound covering both sides of the bed.
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diff --git a/transcripts/55.txt b/transcripts/55.txt
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index 65025415c711fd473220310131c53b61505f1070..0000000000000000000000000000000000000000
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@@ -1,9 +0,0 @@
-I'd be very interested to know how Sonnet 4 and Gemini Pro 2.5 fare off one against the other in terms of agentic coding abilities.  
-  
-Sonnet 4 is kind of the benchmark so far, but I feel it really struggles with context retention.  
-  
-Although it's just maybe massively challenging for an LLM to attempt to do that, I find it very hit and miss using it in Windsurf.  
-  
-It tends to fix one issue and break another.  
-  
-So I'm just wondering if in that respect, what benchmark might evaluate for that and any meaningful differences that have been observed?
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diff --git a/transcripts/56.txt b/transcripts/56.txt
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index 9146f63715189d633de0268d29dc590a58708674..0000000000000000000000000000000000000000
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@@ -1,7 +0,0 @@
-So, this folder consists of its mp4s from an IP camera, an overnight shot, and each mp4 captures a 2 minute period. The timestamps are noted in the file names.  
-  
-What I'd like to do in this repository is for the script to do as follows: for each hour, that should be concatenated into one recording. So, for example, between 2 and 3 am, that's going to be determined in the timestamps, or the nearest clip to the beginning of each hour, until the nearest clip to the end of each hour. That should be concatenated into a single mp4.  
-  
-Once that is done, as a second step, the clip should be compressed as far as possible while preserving a reasonable amount of quality. So, stage 1 is concatenating it into one clip per hour, and then stage 2 is running a compression script over those concatenated files in order to compress them a little bit.  
-  
-So, the end result should be in a separate folder called processed clips. We'll have however many hours there are, one clip per hour, and in a compressed format, preserving the audio and the video.
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diff --git a/transcripts/57.txt b/transcripts/57.txt
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index a138ff4f5b75ab5f177343633f903f6eda96f5b6..0000000000000000000000000000000000000000
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@@ -1,7 +0,0 @@
-Alright, so we have a... I added a Zigbee lightbulb into our living room. And I would like to configure a lighting setup.  
-  
-So here's the thing. I have aggregated all the lights for each room into one single group entity. And in this way I can turn off the light. But then I realized if I do that as a toggle, when I toggle on of course it will turn on all of the lights. Which I don't want.  
-  
-One in prayer to think of is kind of a gentle light in one area and then two switches to turn off. So do you think the best way to do that is to create a scene for these? Because we will almost never want all the lights in a zone turned on.  
-  
-So is it really just I want a scene as a single one and then I want a double action to turn off or do you have another suggestion?
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diff --git a/transcripts/58.txt b/transcripts/58.txt
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index 79fa8ee26698f8b1080a63b01ee162065b19ba02..0000000000000000000000000000000000000000
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@@ -1 +0,0 @@
-So if I create an assistant in VAPI and I want to be able to call it at a number. So I have my phone number from Twilio here. What do I need to do in Twilio to configure the routing that it will go to the assistant?
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diff --git a/transcripts/59.txt b/transcripts/59.txt
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index 25f4a8d806ed02953c92cf5ab29e662ff6566551..0000000000000000000000000000000000000000
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@@ -1,5 +0,0 @@
-I'll try to see for any demo. I'll connect both for object storage. I'm going through as many locally that I need to connect. If that's in any way useful, I think it's very less useful as the CLI is all that's available now. So probably anyway, more it makes a lot more sense of external storage.  
-  
-The ones I created for B2, I want to have that account as a credential and for personal storage as well. I have B2 actually listed there. I just want to make sure that that key has access to all the buckets.  
-  
-And for Wasabi, I will add as well just a couple of corresponding buckets should I choose to use that for storage, but I think B2 is a better fit.
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diff --git a/transcripts/6.txt b/transcripts/6.txt
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index 8232bcf2b945b6e1b7117b60a88db73b7d93c7c6..0000000000000000000000000000000000000000
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@@ -1,5 +0,0 @@
-In Contentful I will add code samples as a content model.  
-  
-So we'll have the code block and then we'll have the language we can choose from the most common ones: YAML, Python, JavaScript, Bash, maybe plain text, Markdown.  
-  
-It may be a little bit more cumbersome, but that would probably ensure very robust rendering if they're added as inline elements instead of having to rely on the kind of handling logic to do that.
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diff --git a/transcripts/60.txt b/transcripts/60.txt
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index 59e7841af5ccfd5e21f5c1ffe5b5849e0a147160..0000000000000000000000000000000000000000
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@@ -1 +0,0 @@
-What makes more sense to connect to locally? Is it RTSP? On my Android to get the cameras Or is it the restringed HLS? And if so which app? I see the Tinycam Pro Seems to only support RTSP
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diff --git a/transcripts/61.txt b/transcripts/61.txt
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index 70c6ea7f8f0f938002f8a63d3bb647d14cda845f..0000000000000000000000000000000000000000
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@@ -1,3 +0,0 @@
-Okay, so my question is this. If I, as I plan, connect the UI to Cloudflare so I can look at the things externally, will the streams pass through the tunnel, proxy through the tunnel, thanks to the configuration that we have set up here?  
-  
-Or do I need to create dedicated routes to each of the streams and then have an external NVR in some other way?
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diff --git a/transcripts/62.txt b/transcripts/62.txt
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index a512d29cf8b26cb895f763e8fe651a8a4094e0e3..0000000000000000000000000000000000000000
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@@ -1,5 +0,0 @@
-See if it's possible to take a similar approach to the Hugging Face repositories, and they should probably be consolidated in the menu at least.  
-  
-Projects can have repos, and maybe we can have the Hugging Face in GitHub just as kind of tabs on a navigation.  
-  
-They can stay as separate pages, but if they could be kind of grouped navigation, that'd be excellent.
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diff --git a/transcripts/63.txt b/transcripts/63.txt
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@@ -1,5 +0,0 @@
-Dr. Popplebury, so there's, it strikes me that there are contradictory, there's contradictory information out there about white noise in children. We discussed before that the general position is that so long as the volume is not damaging to hearing, the white noise is pretty innocuous. I've been using white noise for years and I'm a believer in it. I think it's actually therapeutic personally, but that's colored by my sound sensitivity.  
-  
-On the one hand, you said that it's used in NICUs, which is a pretty strong endorsement that it is indeed safe. On the other hand, we read these reports of it being potentially damaging. So it seems to me they're very opposing positions. How do you think that they can be squared in your opinion?  
-  
-The second question is on binaural beats. These are often marketed in wellness communities. I'm not sure what how robust the science is behind them in general but is there any evidence for their use in with infants? I think that more than going to sleep getting them to sleep the objective for the period we're in of four to six weeks is trying to get them to calm and remain asleep for a sufficient period. And so on.
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diff --git a/transcripts/64.txt b/transcripts/64.txt
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index 9436ac9b3090a215bedc3ab2d14c3e17e672bc2b..0000000000000000000000000000000000000000
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@@ -1,5 +0,0 @@
-I would love to get your thoughts on a suitable hardware, something that could be used as a control surface for a kid in life. Could be a macro pad of sorts. The things I would like to have when I'm editing video are usually sliders for, well knobs probably for subtle controls, brightness and contrast. Colour correction typically benefits from that kind of stuff too. Volume control.  
-  
-I'm thinking really about, I think I've seen a couple of projects over the years whereby of course there aren't any official control surfaces as there are for the bigger editing tools like DaVinci and the Adobe products. But I believe I've seen people repurpose and create their own control surfaces from a whole bunch of different products, maybe tended for slightly different issues.  
-  
-Given the constraints and limitations of Ubuntu, Linux, what would be my best bet for a control surface and is there anything kind of classic that people use for this purpose?
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diff --git a/transcripts/65.txt b/transcripts/65.txt
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index d561aec9fc3a38f7cfa9393a202442eaae39c962..0000000000000000000000000000000000000000
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@@ -1,5 +0,0 @@
-So I've been in the process of taking my main what were previously assistants and converting them into agents. Right now, predominantly fed by voice notes, but they, of course, can be more versatile than that. And I'm just seeing at the moment how they work.  
-  
-I also want to add today, I think, a balance into OpenRouter. While I'm doing all this experimentation, I might be racking up some significant costs with the APIs. And I think it would be good to have those, just to know that there's a good balance in the account, maybe like even a hundred bucks or something, and give myself plenty of room to experiment with the different models. It certainly gives you the best value for money in terms of being able to use different models and iterate basically.  
-  
-Likewise for Hetzner, the critical infrastructure of this process, maybe figuring out if I can automate the payments as a high priority. We checked with their support today for that, or creating a balancing account.
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diff --git a/transcripts/66.txt b/transcripts/66.txt
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@@ -1,9 +0,0 @@
-Generate a lyrics to a song about a sloth called Cornelius who on a very hot day in Jerusalem decided to go do groceries in the market.  
-  
-Cornelius bought a lot of wine because he loved to drink wine but his little paws couldn't carry it and they ended up bursting.  
-  
-His bags burst and the wine spilt all over the market.  
-  
-But there's a happy ending to the story because people doing their shopping were holding up, filling up their cups from the ground and filling their glasses with the wine that broke.  
-  
-Everybody joined in in a celebratory toast to Cornelius the Sloth.
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diff --git a/transcripts/67.txt b/transcripts/67.txt
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@@ -1,3 +0,0 @@
-I recently installed some IP cameras and learned the basics of PTZ control, different protocols for it, etc. Out of curiosity, when you see a building that has, let's say, really really well wired up with security cameras, let's take a government building for example, because I used to live down the street from one exactly like this. They have like maybe 6 very conspicuous big cameras. How much would those cost?  
-  
-And at that level of professionalism, moving away from my amateur home use case, what kind of NVR would be used? And how would remote access be made available if I needed to remotely monitor the cameras?
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diff --git a/transcripts/68.txt b/transcripts/68.txt
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@@ -1,5 +0,0 @@
-I'd like you to run a couple of calculations for me. Firstly, try to find a speech-to-text algorithm or API that is very cost-effective. Ideally, one that is both cost-effective and affordable, however it can be implemented.  
-  
-Next, take someone who's recording speech almost continuously during the working hours. So let's say about 16 hours per day and then remove some time for showering, eating, toilets. Let's just say, just to work with this example, that the person was involved in some occupation or doing something that they were essentially always recording speech, sending it off maybe in loops, but doing that as much as one human could.  
-  
-And then combining that number with the cost of the most cost-effective API that you can find and one that is then a couple of cheaper, more or less cheap ones, the ones that are more expensive but ones that are all in the category of let's say performant ASR and then calculate the daily cost, the daily API costs for those three models under the same assumption of whatever we calculate this continuous recording to be.
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diff --git a/transcripts/69.txt b/transcripts/69.txt
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index 46d25b5e6d95af91cafef0b7259dd54b35723e32..0000000000000000000000000000000000000000
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@@ -1,11 +0,0 @@
-Now that we've finished development of the first version of this app, could you do the following?  
-  
-I'd like to create two versions of it in the build script.  
-  
-The first would be for my computer which is Ubuntu Linux so a Debian file would be preferred.  
-  
-The second one would be a Windows MSI file.  
-  
-Could you create a build script that will create a V1 in the repository with both of those targets and the build script should be excluded from the git ignore.  
-  
-And finally...
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diff --git a/transcripts/7.txt b/transcripts/7.txt
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index 7f25bb6e054e096faef17bb4297ceeb86c6e1929..0000000000000000000000000000000000000000
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@@ -1,9 +0,0 @@
-I need to add to the green lights and green, orange and red, all three of the alert scripts, that they should turn off the lights at the end because they are based on a number of iterations, which doesn't always fall out to be as it's planned. So the script should have an end that it turns off at the time.  
-  
-It'll be interesting to see if there's any way to get it connected to as a server for WinSurf to act upon. I don't know if it was mounted, if that could be the case.  
-  
-The other thing I wanted was a green, orange, green and red intermittent strobe. I don't know if for signaling lights, the actual way they work is, I guess they have to, it couldn't be any other way through power control on off.  
-  
-But in any event, I should ask it what the standard thing is because I think one second, one second. I feel like it's not quite that, but there's probably a standard in milliseconds for various types of alternating flash signals.  
-  
-And they should be standardized on that because I'm not sure that they even do the flashing anymore. I think they should flash, but only for like 2 minutes on each condition.
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diff --git a/transcripts/70.txt b/transcripts/70.txt
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@@ -1,9 +0,0 @@
-Okay, the second job is for Homebox, the Homebox volume.  
-  
-Could you create a script? This is just a one-time script, so it can be at the root of the repository or wherever you want.  
-  
-And what I want to do is just create a nice compressed archive of the Homebox data volume today.  
-  
-So give the file name the timestamp 040825 underscore whatever Homebox data.  
-  
-And try to create the most space efficient archive possible of the data volume as of today.
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diff --git a/transcripts/71.txt b/transcripts/71.txt
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@@ -1 +0,0 @@
-Could we now create a separate file within each a CSV within each collection currently just for for AI operations and AI outputs, listing the collections within that workspace, returning it as a CSV collection name, collection ID.
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diff --git a/transcripts/72.txt b/transcripts/72.txt
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@@ -1,11 +0,0 @@
-So I have an AI agent that is doing quite well and has proven quite important. It's for answering parenting questions which my wife and I have.  
-  
-So the current workflow is that we ask, I created two ways, two ingestion routes. The first one is, I'll use an app called Voice Notes, which is a voice note processor. It will transcribe my voice notes and then send a webhook which will pipe it into the N8N workflow and that will then create a note in Nuclino which is a note manager that I use.  
-  
-Email us the answer. The agent is instructed to provide HTML and Markdown so that I can put the Markdown version to Nuclino and the HTML to the email. It would, of course, have been easier to just use one output format. But if I did that, it wouldn't have necessarily adhered to the specific HTML instruction which is that it needed to be HTML for internal injection into an email template without outer elements.  
-  
-So that's why I in the end ended up getting the agent to just do the two output formats: one is Nuclino, as mentioned, the other is email.  
-  
-The one that I've been struggling with, I would love to get it into a Google Drive folder. I've been having a really hard time figuring out how to do that, which seems very odd. It's very challenging to just create a Google Doc from either of these.  
-  
-Which one is the best, is a better starting point, the HTML or the Markdown? And is there a node that can just reliably create a doc from content in a shared drive? Because that's what we need.
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diff --git a/transcripts/73.txt b/transcripts/73.txt
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@@ -1,7 +0,0 @@
-I want to see if there's a way in Home Assistant to create a binary entity whether anyone's at home. I want to have a condition that if we come home, air conditioning will turn on automatically, but then I would need to know that we were not at home previously.  
-  
-The logic would be something like if no switches were changed for an hour perhaps, then the home empty state will turn on or home vacant or something like that. What do you recommend the logic would be? I don't want to create false positives, obviously.  
-  
-Maybe it'll be during certain times of the day. Or is there any pre-built way to do that? I don't like the idea of using human presence detectors around the house. I find it a little bit invasive.  
-  
-So I was thinking that you could just kind of figure it out based on whether anything was turning on or off.
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diff --git a/transcripts/74.txt b/transcripts/74.txt
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+++ /dev/null
@@ -1,13 +0,0 @@
-I'll create an agent for creating the JSON schema and the JSON examples.  
-  
-User will provide the system prompts and say what, and then describe in natural language which elements they wish to standardize.  
-  
-It's going to be streamless.  
-  
-And then it will generate both of those.  
-  
-It can be a form input, form output actually.  
-  
-Returning to them with the items.  
-  
-Thanks for watching!
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diff --git a/transcripts/75.txt b/transcripts/75.txt
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@@ -1,9 +0,0 @@
-So the purpose of this repository is to create a sort of micro website, static website at the URL above.  
-  
-So I have a system prompts library. The system prompts library, the repository above should have some, it's updated automatically through an automation and within the system prompts and basically the index that gets built.  
-  
-What I'd like to have in this particular, the static site here is just to display an alphabetical list or a list that can be sorted either by default by time, i.e. the most recent ones first, or alphabetical. User can choose into that view and search into it as well.  
-  
-For each of these, that would basically be just a simple click-through website and the information presented in the repository itself, the JSON payload, which has, for example, booleans for if it's a JSON example, if it is a JSON schema, the ChatGPT link.  
-  
-Just reformat those into a way that makes sense that makes it look like a very nice presentation that people can navigate through, go into each configuration, see what it does, see if it's available for use, easily copy out the system prompts and all the other details in it.
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diff --git a/transcripts/76.txt b/transcripts/76.txt
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@@ -1,7 +0,0 @@
-I have been a home assistant sounds for white noise, pink noise and brown noise tracks and I'd like to create a dashboard in which I can start, play and pause them on a specific media player.  
-  
-So it's a button that's actually bound to just one track and one device specifically for playback.  
-  
-And I want to add that to a dashboard and as well as that I'd like to have an option button to play something for X hour.  
-  
-So I'd say I want to put it on for 60 minutes. How would I do that?
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diff --git a/transcripts/77.txt b/transcripts/77.txt
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@@ -1,7 +0,0 @@
-I want to create, here's the JSON output. So the last step in this is to create a note in Nuclino, in N8N, which doesn't have a direct API integration.  
-  
-So what we want to do is create a note with the title, note title, the body text as the output body.  
-  
-Sorry, then within the node itself, we want to have a format prompt with a header, then the prompt text, then timestamp, then the reformatted timestamp preferably, then AI response, and then the output.  
-  
-So another sequence, an organized document, and that then gets created as a node in the designated workspace in Nuclino.
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diff --git a/transcripts/78.txt b/transcripts/78.txt
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@@ -1,15 +0,0 @@
-So I have a question.  
-  
-So I was we talking yesterday about a podcast producing workflow.  
-  
-But let's say I already have some answers that I want to.  
-  
-I want to create a podcast basically just from text files.  
-  
-So text to speech.  
-  
-I have the transcripts.  
-  
-What would you.  
-  
-What is is there any publishing platform that says so I know the 11 labs have like a nice reading app, !
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diff --git a/transcripts/79.txt b/transcripts/79.txt
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@@ -1,5 +0,0 @@
-I'm going to add a new repository today called prompt snippets. Prompt snippets, I think, are the only things that I see as helpful in prompt engineering, quote unquote, which is that if the little things you find effective, an example of a snippet that I've kind of always wanted to have and so on.  
-  
-So, the first thing I've figured out is getting the model to state its name and having the corresponding JSON element for that. Ones I've kind of figured out are stuff like you want to format the output in CSV, output the user's prompts in the output.  
-  
-So these are all things that I, elements, blocks that I've built into many system prompts and which would be useful to have as a library of more than maybe the actual prompts themselves.
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-I have a Next.js website and the backend is being powered by Contentful. This was quite challenging to get set up. I'm wondering if there's... I want to add like preview images into the body of the text.  
-  
-Like if I want to link to a URL and have it come up with that kind of nice rendering that you get from... I don't know exactly what the library is, but it's like Medium has it.  
-  
-It's been around for a while. It embeds a preview into the text itself.  
-  
-Is the easiest way to do that? I don't know how to add them in the blog post in Contentful so that they'll be picked up with that kind of style when they render.  
-  
-Is there a specific way to do it there or is it something I want to do on the front end?
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-Well, I could do with my main website and the agent site and the prompt site to try to make them into a kind of more function as one website.  
-  
-I would be looking at something like an element that could be interjected above them.  
-  
-Basically navigation elements and then each one could be just kind of wrapped underneath it like microsites or something.  
-  
-Mini sites, I don't know.  
-  
-But that feels like a good way to go.
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-Let's say that I wanted to create an Android app for recording a voice note. This would be to work with my AI agent for answering parenting questions, which currently has a... Currently, I'm using an app called Voice Notes, which is really good. It does transcription through probably Whisper, one of the AI speech-to-text algorithms, and many more. It then delivers its, it sends a webhook with the transcription and with a title which just summarizes the note basically. Works very well and then I put that into an N8N workflow which sends that over to an AI agent who answers a question with my system prompt and then delivers that through email and a note which is really important because it allows me to retain the information.  
-  
-What I'd like to do is I'm thinking if it would be possible to create a private Android app so that I don't need to use the external voice notes app in this flow. I have API keys for all of the speech-to-text providers: Deepgram, OpenAI, etc. So all I would need is some mechanism, an app that would record a note from the user, a voice note as a recording on their phone. Send that voice note up to, let's say, Whisper or Deepgram for transcription. And then I would need to replicate my current workflow which is sending the transcript and the title, if it can, if it does that to the webhook that actually drives the rest of the automation.  
-  
-Can you think of the best way to achieve this? And many more. So, what is it that I just do the audio sending to speech-to-text or I could do it as like a little stack? In general, my approach to all this technology is to avoid self-hosting what doesn't need to be self-hosted. So although this could be a stack where you deploy your own instance of OpenAI Whisper, I much prefer to use the commercial components and integrate them that way. Can you think of the best way to achieve this?
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diff --git a/transcripts/82.txt b/transcripts/82.txt
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-Suno is very good for creating funny audio with soundtracks. I'm looking for creating an AI generated background soundtrack for a... Video, No Lyrics, and more like a score, an AI generated score. Any good tools for that?
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-I'd like you to, in this repository, connect to Home Assistant via the API, the local API, the token, and you will hopefully be able to see from the API, identify that the Alarmo integration is installed with various entities and various switches which are controlling the alarm state.  
-  
-My objective is to create something like an alarm panel app because the one that's built into Home Assistant is really not very good. It should be able to alarm, disarm, and visually display the current state of the alarm with the armed or disarmed status indicated by a green or red tally light. Additionally, the mode that can be set should include night time, away, vacation, and of course disarmed.  
-  
-If it's not possible to expose these entities to construct such a control dashboard locally, it still needs to be exposed via CloudClear tunnel so that these can be remotely contacted. If that will not work, then we could look into doing it for MQTT events.
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diff --git a/transcripts/84.txt b/transcripts/84.txt
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-I would like to create a number of scripts for my desktop that I can just click and point to. Am I sure the best way to do that? I'll give you an example of a script that I would like to have. One is a desktop cleanup script, which I've written many times. It basically is just a script that puts different file types in different folders, like it would put PDFs into a PDF folder.  
-  
-One that I would need right now for temporary use is one that would put all the mp3s on my desktop into a target folder. And I might need that script for the next couple of weeks for populating some training data. So what's the best way that you'd recommend doing this? Is it just to have a repository on my desktop that I control, and a few other people with my scripts, or is there like a little program you can put together, a UI for actually running your bioscripts?
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diff --git a/transcripts/85.txt b/transcripts/85.txt
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-so in N8N I'm struggling a lot with there's loads and loads of automations that I want to have created. Google Doc from as an example, there's one where I value is a formatter to format meeting minutes that works perfectly. The agent works very nicely and now I want to I get the output in markdown and gmail h Gmail Compliant HTML, two different versions. And I want to send this by email, that'll be easy.  
-  
-I want to create a Google Doc from it in a specific folder, which is hard. The hard part is not uploading a file per se or creating a Google Doc. It's how to feed a Google and so on.  
-  
-So I'm going to go ahead and create a Google Doc into text, or how to create a Google Doc in a specific folder and a specific drive from text. I'll provide the output of a note and I'd like to get your take on what the very easiest way would be to go from this to a Google Doc with the formatting and content that is available here and in the requested format and maybe a code note I think might work better than trying to wrestle with N8N too much on this.
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diff --git a/transcripts/86.txt b/transcripts/86.txt
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-The task in this repository is to create a M2TT listener on this computer which can run as a background service. Its objective is to do the following commands and the others. Initially, turn the computer off and put the computer into suspend mode.  
-  
-Create the background server, set it up as an automatic boot process, and write documentation in the repository as to how to create a script in Home Assistant which will send these MQTT and others to the computer which will in turn perform the actions.  
-  
-The MQTT topic should be referred to the computer specifically as the desktop to differentiate it from other computers.
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diff --git a/transcripts/87.txt b/transcripts/87.txt
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-My task is to connect to this Google Drive which is a shared drive. There should be within the top level folder year folders for 2024, 2025, and 2026. Each folder should have subfolders 01 through to 12, one per calendar month.  
-  
-What I'd like you to do then is, after these folders have been created, generate three CSVs with the folder IDs and the month. The one, 01, corresponds to January and so on and so forth. And many more.
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diff --git a/transcripts/88.txt b/transcripts/88.txt
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-So I'm sitting with the Slack integrations now and what I want to do is then create the corresponding ones for the, let's see, it's going to be the residence one. Yes, they're all done.
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-I'm wondering if it's possible in Alarmo to create custom arming modes.  
-  
-There is two types of arming that I'd like to do in our current apartment.  
-  
-Number one is arming both the patio doors and the front door.  
-  
-Number two is just arming the front door and nothing else.  
-  
-I know they have different profiles.  
-  
-I'd only want to use the vacation home away profiles for these specific configurations.  
-  
-How can I configure those?
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-I want to add to the Linux wrapper. I might read it, rotate the voicemail and see if they have any thoughts about me actually sharing this icon on a semi-official basis. So I'm going to add their icon and ask that it has a dockable thing and an undockable thing. And that's number one.  
-  
-Number two is setting up the medical repositories to experimentally big project repositories for the agent using agent that way.
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-Home Assistant, I want to check out the custom sidebar project today and create one.
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-I have an idea for a custom Windsurf project launcher as they don't seem to want you to move out of Cascade projects.  
-  
-I just realized this could be really possible by just appending some command line values.  
-  
-You might say this is the describe your project name, public or private, and it will then create that.  
-  
-Do basically what GitKraken does, initiate it, and then open that up in Windsurf for you ready to go.
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diff --git a/transcripts/92.txt b/transcripts/92.txt
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-Let's take a look on this server please and this should be my daily automation job running for pushing up Homebox to the cloud, pulling down GitHub repositories, doing Cloud to Cloud to Wasabi and just check the status.  
-  
-I want to make sure that those are running, the latest runs are okay and everything's working fine.  
-  
-And if they are in the repository, it's delivering a webhook notification locally.  
-  
-And we could do it to a remote. If that would make more sense, I can provide a remote webhook URL.  
-  
-We would need Cloudflare secrets headers to be added. We can test that.
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-We're going to have to do the daily backups on the Ubuntu VM. I don't think we're getting a notification still. We should check on their health. Maybe it's just easiest to do that periodically.  
-  
-And but if I could get the notifications I can do if still new that's on the local local actually but it probably doesn't need to be or shouldn't be anymore just be on the try to keep everything on the remote and keep on top of the payments from Hesner about that.
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-DC extenders are fantastic, works really really well out of the box and what I actually want to do now is get a couple more of the 1 meter ones, because the 3 meter ones are very long and I just use it for a for the little TV monitor thingy.  
-  
-Immensely useful these things I have to say. So that was a good purchase and I just got ones that are a bit shorter now.
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-I tried to debug the Android app. I'm pretty sure it was working perfectly.  
-  
-What's happening now is when I go to it on Android, firstly, I don't get the... It doesn't expose itself as a true PWA.  
-  
-And secondly, the record button doesn't work.  
-  
-And the text... In fact, all of the buttons don't work.  
-  
-So it's like there's something in the way of the styling that's broken it.
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diff --git a/transcripts/96.txt b/transcripts/96.txt
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-So let's just a couple more things. I think the default view should actually be the list view. And the default load is most recent first.  
-  
-So the sorting, the type of sorting being used should display beneath the showing prompts thing. So showing from most recent, etc. The date could be like a little badge as well maybe.  
-  
-And in this list view I think it would look better to have instead of the modals to have it as a drop down element as in when you click on it it just drops down the modal instead of having that being a clickable element.  
-  
-and ClickUp.
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diff --git a/transcripts/97.txt b/transcripts/97.txt
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-I'd like to deploy this as a local website, a mini site. It's just going to consist of this bot. I can install it through an Android SDK, or I can host it locally on my server, which is 10.0.0.4 as a Docker environment.  
-  
-I think it actually makes the most sense to firstly start with a simple one-page website. Ideally, it'll look perfectly good on mobile that can be installed as a responsive app. If we need to add later a dedicated Android app, we can do so.  
-  
-It's made with type, form, bot, so choose the best embed architecture and we'll deploy it then.
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diff --git a/transcripts/98.txt b/transcripts/98.txt
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-To consider the case of an AI agent that is deployed as an N8N workflow, by which there is a frontend sending to a webhook and then the backend automation is configured in N8N.  
-  
-Let's say instead the backend automation consists of sending the prompt to an agent and then sending it to a couple of integrated services via API calls.  
-  
-Let's say one wanted to move this to a single deployment in which the whole logic, including the AI component, were deployed on a single server.  
-  
-Could this be deployed on Netlify, Rassel, etc? And if so, what would my grading be? Agent Intel.
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diff --git a/transcripts/99.txt b/transcripts/99.txt
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-Okay, I think the app is good enough for deployment. Could we deploy it now to the Ubuntu VM at 10.0.0.4?  
-  
-There is a Cloudflare tunnel in the Docker network that we would need to be attached to it so we can reach it from the external network.  
-  
-So it could be Dockerized as part of the deployment, but that's on the local network.  
-  
-So let's try to get it deployed onto the server, ideally in some kind of pipeline that could be replicated through this GitHub repository.
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diff --git a/transcripts/uncorrected/166.txt b/transcripts/uncorrected/166.txt
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-Okay, so I'd like to add to the VoiceNote dataset manager. So I have really annotations, there's two main objectives for this project as I currently conceive of it. And I think on the front end it would be useful to, when I'm uploading stuff and annotating, to have two separate sections for it, a little bit more clearly delineated. and so on.<br><br>So, if we have delineated, for example, where we have upload new voice note, that can firstly just be called maybe upload, next section transcripts, next section, and by next section I'm defining the headers, next section classification, next section annotations.<br><br>So in classification, I'll just add a few more recurrent ones that we should have. Prompt General, Development Prompt, Read Me Dictation, Social Media Post, and then in Annotations.<br><br>So content issues call that Audio defects and let add one for a significant background noise In audio quality issues, what I'd like to have actually maybe is, and again, we're going to, I mean, in the process of defining the annotations and might have to sort of work backwards initially, but most of them haven't been annotated yet. I'm not going to start annotating until the schema is defined so it would actually be a lagging annotation process.<br><br>The ones that are missing currently are background music. You have background noise but I think background music is actually very important because from a copyright standpoint that could be an issue. and for multi-language don't actually even have English Hebrew I'd have to keep it open-ended as to what other languages are present and I'd like to have one for background conversations actually and tagging by language so English Hebrew Arabic Russian French I'm hard these would be the ones that encounter my local environments a lot
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diff --git a/transcripts/uncorrected/167.txt b/transcripts/uncorrected/167.txt
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-I'm on to the docs index page, I've just updated it now. And our last night I added it, and I think the microsite, or the website, the docs repository site, actually still works. I'm not sure if it was migrated to Vercel yet.<br><br>In any case, I can do so if it wasn't. And then I can add basically update it with all the sub modules updated sub modules based on the ones that I have and then link to it from my main website.
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diff --git a/transcripts/uncorrected/168.txt b/transcripts/uncorrected/168.txt
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-I'd like to consider a wee factor and then just give me your thoughts about this so currently it's a file based backend what I was wondering is would it make more sense to have a lightweight database backend SQLite let's say and and the important part of the utility which is the Hugging Face dataset push is what I'm using for the classification model would actually be a job whereby locally it will create the dataset from the local backend.<br><br>In other words, rather than having this sit in place as files, it's going to be constructed periodically. Basically when I say okay I've uploaded another batch, let's push, would that be easier and more logical to integrate with the front end?
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diff --git a/transcripts/uncorrected/169.txt b/transcripts/uncorrected/169.txt
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-Okay, so just some changes that I'd like to make to the UI. When I upload a voice note, I'd like to capture as metadata the upload time and date, the original file name, the original file format, which in most cases will be MP3.<br><br>In addition to transcript, I'd like to have, so that should actually be called uncorrected transcript. I'd like to also have a text field for corrected transcript. And again this is captured as metadata.
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-The purpose of the repository basically is to model or suggest the idea of using AI agents to scope out gap filling and extending multi-agent networks based on their inferred understanding of the purpose of a multi-agent network.<br><br>I think iterative workflow is the best. It suggests to the user what about this agent the user says yes or no, rather than the batch system. Although it could do both, but let's make the defaults the kind of individual review system.
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diff --git a/transcripts/uncorrected/171.txt b/transcripts/uncorrected/171.txt
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-The intended functionality of the user interface is that I'll upload the voice note and the automatically generated transcript, which came from the voice note transcription. I'm not going to manually correct the transcript but I would like to record some annotations and the UI would save these to a folder which will actually serve as the dataset itself and what I do want is that the link is preserved so that each either there a TXT file for the raw transcript and the audio or it's recorded at the metadata level.<br><br>It should be sequential. So starting with one. and what would be the most useful way for the UI would be that there's a drag and drop interface for uploading the audio because I'll be populating these from voice notes. So I'll be downloading an mp3 from their website and then the two things I do are upload to my UI and copy and paste in the text.<br><br>So what I'd like to happen on the backend is that the first file is renamed 1, saved as 1.mp3 let's say, and the text corresponding to it is 1.txt, or they're just linked at the metadata level.
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-Building a Reporting Disclosure. I have a few thoughts. One, I can create a model. A model is actually quite feasible. It would be, but it's a data annotation project. It's saying, here's a PDF, here are the actual variables. In other words, here's the scope 3, scope 2, scope 1, here are the units, train it like that.<br><br>Second thought is if I did want to put together a dataset of sustainability disclosure reports, I think you could argue a public fair use clause for the PDFs being there.<br><br>And then the one I did with Gemini the other day which was basically a parsing AI tool seemed to work and could probably be used in production and which works even maybe as a way of trying to get in touch with Google is they have They have definitely an AI for good division who may let's say provide Gemini credits for the actual deployment of it on Cloud Run. Because from my first run of it, it was very, very promising for the task of parsing the reports.<br><br>And that would greatly the feature would be when it extracts the data human human in the loop is done by seeing what it is matching it to a company in the database or to a known company Let's take Google itself as an example. Detects its stock ticker, detects its stock exchange. And then you click like add to database meaning that you're adding the validated data and it could even pull out the metadata from the document pull out the source and that would be a great way of building up a human validated database in other words you take the reports you say either everything everything looks good to me or this is wrong either way you add it then of course you've got the missing financials and the rest of the world.<br><br>But that would probably be because there is thousands of sustainability disclosures, especially when you consider I think beyond the US globally, and it's beyond. So certainly it's a task for a model, but it's also human in the loop. The ultimate question is if Gemini stock performs 99% sufficiently well in the task of extracting this data from the sustainability reports. A model might actually not even be necessary because out of the box it's almost perfect. That is, I suspect, what the case would be.
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-Is there an app for two people on Android phones wanting to do karaoke? So what I'm thinking is, especially for Android TV, the karaoke track is up on the TV. And then the two people participating in the karaoke, their phones, the Android devices are the karaoke microphones.<br><br>And it's live so they're going on to the... so it's a karaoke experience but using your phones as karaoke microphones. I guess it would work with the website. Does this exist?
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-Alright, so the plan is for this repository, I want to create an audio media streaming interface for my home network. And there's a few things I want to roll into this one too.<br><br>Number 1 is media playback. So I have a volume on the NAS called AudioShare. The NAS is 10.0.0.50. So connect to the NAS, you'll find the AudioShare volume and let's mount that as the media library. It'll have a lot of tracks already populated.<br><br>Second thing is a soundboard. So I'll create a folder within that audio share volume called soundboard. And in the soundboard I just upload some stupid sound effects I do one to start it off Like laughing sound.<br><br>And then I also want to create a intercom system. and the functionality for the intercom is that from this computer, sorry from the interface which will be audio.residence.jlm.com I'd like to have the push to talk and the start and stop. PUSH TO TALK<br><br>So for the speaker networking this is where I would like you to give me your thoughts on what makes the most sense So I've used before MPD. I've installed MPD clients on... So the devices are, there is a device called Nursery Pi in SSH. Bedroom Pi, R-Pi and Smart TV. Each one is connected to a speaker. That's the network.<br><br>I tried MPD, putting an MPD client on each device. MPD has been the most reliable But it seems kind of a pity to use this when there are protocols like SnapServer that are designed specifically for this use case. However, using Home Assistant, I found SnapServer to be very buggy. I could never really get it to work and many more and the system that's reliable.<br><br>I find with MPD, because you need to select the speaker on the client devices, those bindings frequently broke. So I'd like to have something that kind of, the speakers are really never going to change. In the sense that I'm going to, I have a sound card for the Raspberry Pi. That's the speaker. and for as long as I use this system that's gonna be the configuration. So I want to set up something that once it's in place it's pretty much just gonna work.<br><br>So I leave that call up to you and please create a... Create a folder in the repository providing your recommendations just before you begin and what you suggest as the best implementation for the multi-speaker network whether it is broadcasting to a bunch of MCD clients from the Web UI or whether it's creating a single Snap server or something else that manages the networking I don't envision much of a need to select individual speakers by which I mean, I think that for the most part the occasions I'm using this I'll just play media to the pool but of course it would be nice to be able to select that !
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-Okay, when I return to the byte, the DAC, I want to download the user manual or I'll just photograph the one. I want to connect the reference speakers with RCA.<br><br>And I also said to Hannah that I would reconnect her turntable because I took away the switch and the connection. So I will reconnect that. And then hopefully it will just work and that will be it.<br><br>And I want to also take down the serial number for the inventory. And that would be it added into the into the system.
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diff --git a/transcripts/uncorrected/176.txt b/transcripts/uncorrected/176.txt
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-Okay, so this is a good start. In the dashboard, the developmental milestones and all this data. So currently, if I change tab, if I go into the measurement tab or the report tab, it loses the data in the dashboard. I'm guessing because it's running the prompts again. So that's a bad design. It should load it once per user session and then hold that data so that when the user, when they navigate across the app, they're not going to force the prompts to run all over again as they do now.<br><br>The second thing is that the design of the elements is a bit bad. It's quite bad, I would say. Let's have them as accordions that are nested by default or will only show the first paragraph of text and the user can click down to expand them. And maybe for each one like psychosocial development if the AI could generate a subtitle so that there's a headline under that and then the user can choose to go into it.<br><br>In measurements, when you add a measurement, sometimes we don't have either figures for height or weight, so you shouldn't be prevented from saving the measurement if you're lacking one of those data points.
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-Okay, I'd like to create an app which does the following. The purpose of the app is to visualize how different countries, ideologies, systems approach common policy challenges. An example of a policy challenge that I'm just providing for explaining how I could see this working is second-hand smoke control. Some countries have very strict regulations, some countries have very lax enforcement. And probably there is not really much distinction by system of government but the user prompts it called policy visualizer and the user enters a policy challenge. So another example might be minimum alcohol purchasing laws.<br><br>Once Gemini receives this prompt, its task will be to research how different countries in the first instance approach this topic. And from that analysis, it can identify commonalities or clusters. The research process happens in the back end. And the user is shown some kind of progress indicators like researching what it's doing basically. Not a huge amount of verbosity but just a few cues so the user knows that it's not stuck or it's actually doing something.<br><br>Once Gemini concludes its first pass it will have grouped not necessarily every country in the world but based on the clusters it identifies it found groups. Each group is given a label. The label might be laissez-faire, permissive. These may be either recognized labels or what Gemini feels it's best to describe them as. And the countries are displayed with their national flags in alphabetical order.<br><br>The next functionality is that the user can click on the cluster and Gemini will describe what it is about this law that it considered them to be a cluster. In other words, the way in which they approach the challenge. That's a modal. Then the user can click on any country and it can see how that country approaches it. So I might click on the flag of Germany and either an accordion or a modal it show how Germany approaches in this case gun control and its cluster.<br><br>Country level is always a tab and only if there's other taxonomies. By taxonomy I mean that we think there's a very, Gemini says there's a very big difference and how different right-wing versus left-wing approaches we're going to do. We're going to create one more tab with that. But that should be kind of only if there's very compelling reason to do so. Or if it has significant data to share. So if it feels like there's enough data about how US states approach an issue at the state level, it might create a tab called US States and then follow the same pattern in which it groups them into clusters.<br><br>The objective is to, rather than searching through Google to see how different countries do different things, to start with your question and then get this visualisation. And I think the icing on the cake would be an analysis. So this is a visual presentation and then there may be analysis showing significant differences, some similarities. So there's like a report, a textual report, but the main tab, because I think it's the most interesting one, is the visualization, the policy visualizer.
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-Okay, I'd like to create a sustainability report parser which will operate as follows. The user will provide a link to a sustainability disclosure or better they will upload a PDF. That's the expectation.<br><br>Upon receiving the PDF from the user the app will load the PDF in a frame. Gemini will identify on which page sustainability, The disclosure data for Scope 321 emissions is reported. And the PDF will load up in the frame, the viewer, with that page skipped to that page, and the data highlighted with a yellow overlay, slight highlight.<br><br>And beneath it Gemini will output the table for the top level in other words the summary of the scope 321 emissions with a short text description of what they were in summary the units detected scope 321 itemize then a disclaimer under that that this detection is based on automated processing may be incorrect and so on.
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-This is called Impact Report Finder. The objective is that the user will provide the name of a company and the AI tool, Gemini, will attempt to find any voluntary sustainability disclosures, impact disclosures that they've written from the internet and it will send them by year. If they include data about their GSD admissions there will be a tick symbol and there will be a link to the result and there will be a direct link to the PDF. and Jeff.<br><br>So after the user provides the name of the company, there can be a... if Gemini needs to disambiguate, it will ask the user in a text box below, can you clarify and then the user can hit submit again, otherwise it's more than an interactive chat app, it just provides those search results in that specific format with the reports chronologically from by year, if there's multiple ones by year, by date of release, and then if they have GSG data, a link to the data sheet if it's separate, or just the PDF, but basically annotated table of links.
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-I'd like to create an app which will do the following. It's a voice-to-voice app. The user will record a voice message. The voice recording in the app. The voice recording gets sent to Gemini with a transcript. Gemini's task is to create an abbreviated version of the Voice Message, as short as possible. Essentially cleaning it up. This stage is not shown to the user.<br><br>But what happens next is that it gets text to speech, it gets synthesized, the user can choose between a male or a female voice. Yeah, and once that, once the generated audio is created, it presents to the user, the user can download it. So it's essentially taking audio from the user, cleaning it, condensing it, synthesizing it, and then download.<br><br>Come up with an imaginative name for this use case.
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diff --git a/transcripts/uncorrected/181.txt b/transcripts/uncorrected/181.txt
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-I'd like to create an app that is a meeting documentation assistant and it can provide three outputs from a voice input. So there's a voice recorder, so the user can record a voice note, pause, stop and retake, and then send. Once the voice note is sent, the user selects whether they want to generate a meeting minutes, an agenda for an upcoming meeting, so meeting agenda, or just those two actually.<br><br>And then if they do meeting agenda, it'll also generate a short version that can fit in a calendar description and a suggested meeting title. Upon receiving this from the user it gets sent to Gemini it analyzes the audio parses the audio and then generates a well minute or agenda as according to what the user selects with an automatically generated title a body that formatted in Markdown but renders in rich text so the user can download the original file with an automatically generated title a body that is formatted in Markdown but renders in rich text The user can download the original file and Runs the user would just clear the recording and start again.<br><br>It should also be able to automatically detect start time, end time, participants, action items, and it can deliver a... It will put those in organized fields in the output, even though the... and maybe the user can edit those to rectify any mistakes. And then when they click download, it will combine the corrected or uncorrected version as the case may be to generate the actual document for the minutes or the agenda.
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diff --git a/transcripts/uncorrected/182.txt b/transcripts/uncorrected/182.txt
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-I'd like to create an app that does the following. The user will paste a screenshot from their calendar or there's a text field for calendar entries for a certain time period. Below that there is a voice recorder. The voice recorder will let out the user to record a voice message, record, pause, stop, and or retake.<br><br>When the user is instructed to narrate their timesheet for the week, and the user can also select a date for week commencing, just to validate when the first date that they're referring to in this timesheet is. When those three fields are provided by the user they get sent to Gemini and Gemini will then generate a timesheet based upon the user description with activities per day.<br><br>The meeting information that was received will be added. So I might diarize specific meetings that were referenced. So combining the two sets of data. And finally based the user might if the user includes a time spent estimate how many hours were spent per day on a certain project or task it will then calculate the estimated total hours spent and then a summary section.<br><br>This will be provided as a document which is created in markdown with the user it's rendered in rich text on the screen and the user can click download and if they do that it'll download the timesheet as a markdown file with the title automatically file name timesheet for week commencing in machine readable case.
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diff --git a/transcripts/uncorrected/183.txt b/transcripts/uncorrected/183.txt
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-I'd like to create an app that does the following. The user will paste an image or multiple images into the image upload feature. It'll run it through Gemini and it will attempt to extract the following fields: Serial Number, Model Number, Manufacturer, in a text field it will OCR readable text, Country of Manufacture.<br><br>And then based upon the detected product, the manufacturer and the part number and the serial number, it will provide a one line description, it will provide a multi-line description, it will provide a spec sheet. It will provide a year of first released on the market, age in years based on first release minus the current time, correct to the nearest 8.1, one decimal place.<br><br>And deprecation level from almost deprecated, fully deprecated, RRP, still on market, the last of the checkbox. So it'll basically take an image and then extract all these fields based on the initial OCR and then based on the web search complementing that.
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diff --git a/transcripts/uncorrected/184.txt b/transcripts/uncorrected/184.txt
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-Google ID8 to Try would be one of the apps that connects with the Google Workspace services. Which I don't know, maybe they've circumvented their general cautiousness.<br><br>Like voice to email. You send an email, you record a voice memo, it transcribes it, it checks your contacts, it generates an email, it shows you a draft, is that okay, and then it sends.
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diff --git a/transcripts/uncorrected/185.txt b/transcripts/uncorrected/185.txt
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-In my Gemini app collection as well, one use case for the video modality, which I haven't really thought about so far. They're very focused on generative, but it's the interpretive one that I think is really, really interesting.<br><br>Could be something as simple as take a video, estimate the population density in the frame. That's pretty boring. I don't know. Think about it. Take some video and I'm out. and come up with an idea or two.
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-Another idea for Gemini app. Recipe modifier, you get a recipe. Gemini parses the recipe, structures the data. Then, using a nutritional database, attempts to calculate the total fat per serving and the fat per ingredient.<br><br>Then, this is an app for people like me who are trying to adhere to a low-fat diet. It remixes a recipe to either achieve a certain fat amount, as in under X grams of fat, or to just make a general reduction within reasonable bounds while still trying to keep the recipe the recipe.
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-I think I'm close. So Google in recent days, they brought out an integrated AI studio, a build functionality, which is basically what they're doing as a vibe coding tool. Before, Google had Firebase Studio, which didn't really work that well. Well, this tool, AI Studio, whatever they've done, it's very well integrated with everything Google does. So I can define an app idea, use Gemini, and then connect to basically everything in my Google workspace, like my email, drive, contacts, whatever. And unlike Firebase, which frequently created things that didn't work, it mostly does work. So it's very exciting.<br><br>The only catch as I see it is that AI Studio is kind of a prototyping environment or that's what it's always been looked upon as and I think they're trying to change that a bit. When you create your vibe coded apps you validate that they work you can converse with Gemini and it edit the code base which is great. So you can quickly pretty quickly within 5 or 10 minutes get to a point where you like Oh brilliant, this is exactly what I was hoping to achieve.<br><br>And the issue, as I see it, is a problem of plenty. This is a real breakthrough in the sense that it's become easier than ever to create these, I would call them mini-apps. You can connect to Github and you can deploy each mini-app. Great, so now I have functioning code for 10 or 20 apps. The question is, how do I make this usable?<br><br>This is really something I've been thinking about for a long time, or for a while, because the same thing could be said for Streamlit, Gradio, all these things where you can create. So the term micro is kind of coming out there micro and I not sure about that but all I really want is a unified place because no one wants to remember 50 URLs like movieapp so even if you have a domain name which I do so really all it needs is glue. The environment variables for Gemini, etc. are going to be shared across apps. I don't know if they need unique environments.<br><br>This is a broader question really in that I've been wondering for a while. These utilities are great, some of them are really really excellent but I still haven't really found anything like a framework that creates them into what it basically it's a workspace. That's the term I would gravitate towards where you have sort of maybe a menu with your tools. In this case, let's say a meeting agenda. I'm talking about my work tools. One of them creates a meeting agenda from a voice note. Another one creates a meeting minutes from a voice note. So you can see that it doesn't really make much sense for each of these to be a website or even an app. They all modular pieces of a bigger picture which is using AI for personal and business.<br><br>That the only distinction I see is worth preserving. Some are very much work tools and some are very much personal tools like the movie recommendation thing. Otherwise, I think they should be brought together. What do you think is out there in terms of what would be your suggestions for approaches? and specifically frameworks because I've looked at sort of low-code tools like AppSmith and I really hate them, they suck. I think that's a common thought. This is just creating your own.<br><br>And to clarify as well in case it wasn't clear, I'm not talking about public-facing apps, I'm talking about internal tools basically. So authentication required, but maybe at the level of the entry, ideally I would see it. If this worked, as I think about it, you wouldn't want to be signing into Google 50 times from within the workspace. So you'd want the workspace to have authenticate once with Google, and then you're authenticated with all your tools and you can use freely. I don't think Google have made this yet. It'd be great if they did. But I'm wondering in the medium term, as they're warming up their product, what else is out there?
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-Okay, so during the day, I typically, or sometimes I think about a topic that I would like to learn about. And I love creating YouTube playlists, and then at night time, I'll watch the playlists. So I kind of, in the daytime, I gather resources together that I want to watch later. Generally, these are public playlists, but occasionally I want them to be private, because it's something personal or that I don't want to share. But mostly they'll be personal, public, but I want to have that option in the app.<br><br>I'd like to say, give a topic that I want to learn about. The one I want to currently, and it'll be kind of descriptive, but the current one that I have on my mind is I want to learn about the history of taxonomy. Taxonomy is a profession. Philosophically, how long have humans been noting things? How has that evolved? And I'm specifically interested in it from the AI machine learning data set angle, were all frequently involved in taxonomy related projects. So it's kind of roundabout got me curious about the whole field as it were.<br><br>But then I have some general directions regarding the type of content I like long form content more than 20 minutes. I don't want clickbait or low quality stuff. You know, regardless of the topic, and I'd like maybe about 10 or 20 videos in a playlist I don't want it to be too long, that it's overwhelming and a bit of variety within the playlist. So I like to see suggestions, give a playlist name, see suggestions, and then kind of a yes-no interface where I can say, yes, that's a good match, no, without having to see the whole results page. And then it will actually create the playlist and then add the videos to the playlist. That's the idea that I have.
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-Okay, so I've just configured. VS Code is very, very important. I've just configured automatic updates, and I asked Claude, I said, why am I not getting them? Why do I, it says, you're out of date, download the Debian. And I said, I don't want to have to download a Debian every time, and I really want to keep this updated. <br><br>So it says, you should know, you need to join the Microsoft ASC, their repo, their third-party repo, which I had before then I think because I removed it as a duplicate. <br><br>So to clarify, it's not the case that you need to do this process. It is actually an automatic upgrade thing but you do need to be attached to the Microsoft repo to get those.
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diff --git a/transcripts/uncorrected/190.txt b/transcripts/uncorrected/190.txt
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-Some packages picked up in Parcel Home.<br><br>I want to make sure the receipts go into the financial thing.<br><br>I don't think any of them are deductible.<br><br>Maybe the smartwatch can be considered a business accessory actually from KSP, in which case I need to make sure that I get the Cheshbonit Mas and send it to Khan.
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-This repository contains a number of extraneous AI generated documents.<br><br>Follow the principle that only the minimal number of guidance documents to the user should and BeProvided.<br><br>To achieve this, remove documents that are overly specific, or if you can determine that they could be integrated within the README, move them there.<br><br>If you truly feel that there is a need for detailed documents in addition to the README, and move them into a docs folder, if it doesn't exist then create one.
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-What's the most professional way to install a package on Linux? If I create an executable and copy that into the directory on path, such that I can call it, is that considered a worse way to install applications than through a Debian package?
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-I want to order a book about Python today and work through that course and see if the one that I'm paying for in Pluralsight has a Python course.<br><br>Python is real community, Python is real conferences, Twitter accounts, subreddits, map out the ecosystem for learning this really really thoroughly.<br><br>But beyond 3.13 for example, just like a big Reference.
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-I can try for my, I don't know with my notes editor that I had before, did I ever try it with a fully local version? Because I was thinking now, for the one where you do record voice and transform, if the back end was Whisper and, let's see, Lama 3.2, you know Lama, you made it very specific. This is what it's supposed to be using, even just for my own use. And you set up the environment.<br><br>That could be local mode, you could have local mode and remote mode. That could be a very, very useful tool. And if you just had one simple cleanup prompt, this could be the latest iteration of the text cleanup utility. Keep it simple, asynchronous.<br><br>SpeechNote but kind of pared down to just really really good capture and the cleanup thing which they don't, SpeechNote has never integrated that post-processing step which would differentiate it.
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-Your task in this repository is to write a script which will process all the audio files in the audio folder in the order in which they're currently appeared by timestamp.<br><br>The objective is firstly to remove any periods of silence and secondly to concatenate the audio recordings into one recording and to optimize them for clarity of voice.<br><br>The audio files contain recordings of two people speaking and the objective is to make them as easy to hear as possible.
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-A common frustration when working with code generation tools in Python projects is their tendency to use system Python. I've tried to add as a commonly added workspace rule to instruct the agent to always create a virtual environment using UV for package management. However, even when that's instructed in Claude.md, the agent often fails to adhere to the instruction and tries to install packages into system Python. <br><br>So I frequently find myself having to prompt, "please activate the virtual environment, please use the virtual environment." What I've noticed is that even when it does this, it sends the activation, VendActivation command in each bash completion, which is inefficient. A human developer would activate the virtual environment once and then run commands regularly within the activated virtual environment. <br><br>A more elegant solution would be for Claude code to have the ability to detect, to not only create virtual environments for instructions, but to detect them based on their folder pattern, activate them where they exist, and use them in a more efficient manner by activating them once and then holding that as a persistent bash environment for the session.
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