Datasets:
|
Download AI_GUIDE.md from FranchiseDepth/franchise-database-sample: direct link, hf CLI and curl.
- Browser
- Download file 3.33 kB
-
https://huggingface.co/datasets/FranchiseDepth/franchise-database-sample/resolve/main/AI_GUIDE.md
- Command line
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hf download hf://datasets/FranchiseDepth/franchise-database-sample/AI_GUIDE.md
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curl -L -o AI_GUIDE.md https://huggingface.co/datasets/FranchiseDepth/franchise-database-sample/resolve/main/AI_GUIDE.md
3.33 kB
| # Using the FranchiseDepth database with AI assistants | |
| This folder works with any assistant that accepts file uploads. Pick the files that match what you want to do, upload them, and give the assistant the instructions in `AI_INSTRUCTIONS.txt` (paste it as your first message, or into the instructions box of a custom assistant). | |
| ## Which files to upload | |
| | You want to... | Upload | | |
| |---|---| | |
| | Ask quick questions about fees, earnings, closures or growth across brands | `brand_summary.csv` | | |
| | Read about specific brands in one industry | the industry's file in `profiles_by_industry/` | | |
| | Run deeper analysis (the assistant writes code) | `franchisedepth.sqlite`, or the files you need from `csv/` | | |
| | Look up every column and method | `AGENTS.md` | | |
| Upload limits depend on each tool and plan. If a file is too big, start with `brand_summary.csv`, which is small, or one industry's profile file. | |
| ## ChatGPT | |
| - **One chat:** attach `brand_summary.csv` (and any `csv/` files you need) with the paperclip, then paste `AI_INSTRUCTIONS.txt` as your first message. | |
| - **Your own GPT** (on plans that offer GPTs): create a GPT, paste `AI_INSTRUCTIONS.txt` into Instructions, upload `brand_summary.csv`, `AGENTS.md` and the industry profile files you want as Knowledge, and turn on the code/data-analysis capability. | |
| - ChatGPT's data analysis can often open `franchisedepth.sqlite` with Python. If it can't, use the CSV files instead. | |
| ## Claude | |
| - **One chat:** attach `brand_summary.csv` or a profile file and paste `AI_INSTRUCTIONS.txt`. | |
| - **A Project:** create a project, paste `AI_INSTRUCTIONS.txt` into the project instructions, and add `brand_summary.csv`, `AGENTS.md` and profile files to the project knowledge. | |
| - **Claude Desktop with live SQL:** connect the whole database with the MCP connector (steps in `README.txt`). Claude can then query every table directly. | |
| ## Gemini | |
| - **One chat:** upload `brand_summary.csv` (CSV and Excel files are accepted; several files can go in one prompt) and paste `AI_INSTRUCTIONS.txt`. | |
| - **A Gem:** create a Gem, paste `AI_INSTRUCTIONS.txt` into its instructions, and add `brand_summary.csv` and profile files as its knowledge. | |
| - **Google Sheets:** import `brand_summary.csv` into Sheets and use Gemini in Sheets on it. | |
| ## Grok | |
| - Attach `brand_summary.csv` (and a profile file if you like) with the paperclip, and paste `AI_INSTRUCTIONS.txt` as your first message. | |
| ## Microsoft Copilot | |
| - Upload `brand_summary.csv` in a Copilot chat and paste `AI_INSTRUCTIONS.txt`. | |
| - With Copilot in Excel, open `franchisedepth.xlsx` and ask about the tabs directly. | |
| ## Perplexity | |
| - Create a Space, add `brand_summary.csv` and profile files, and paste `AI_INSTRUCTIONS.txt` into the Space's instructions. | |
| ## Coding assistants (Cursor, Claude Code, Codex, Gemini CLI, GitHub Copilot) | |
| - Open this folder as the project. They read `AGENTS.md` (and `CLAUDE.md` / `GEMINI.md`, which point to it) automatically. Ask them to query `franchisedepth.sqlite`. | |
| ## Tips for good answers | |
| - Ask for a table: "Compare these five brands' investment, royalty, closure rate and comparable revenue in a table." | |
| - Ask for sources: "Give the FDD year for each figure and the page for Item 19 figures." | |
| - Ask it to say when something isn't disclosed, rather than guess. | |