Spaces:
Runtime error
Runtime error
Commit
Β·
37bc74b
0
Parent(s):
Initial commit: b-s-s report
Browse files
README.md
ADDED
|
@@ -0,0 +1,100 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# AI Designer
|
| 2 |
+
|
| 3 |
+
## Problem and Audience
|
| 4 |
+
|
| 5 |
+
### Problem:
|
| 6 |
+
|
| 7 |
+
I want a tool that can use verbal instructions to prototype and iterate on a design for a UI or document.
|
| 8 |
+
|
| 9 |
+
### Audience:
|
| 10 |
+
|
| 11 |
+
This app is for designers and non-designers who want to create UIs or documents using natural language. Examples include:
|
| 12 |
+
|
| 13 |
+
- Styling a resume using a standardized template
|
| 14 |
+
- Brand designers who want to iterate through ideas
|
| 15 |
+
- Writers who want to present content in a visually engaging way
|
| 16 |
+
- Creators of presentations and educational materials
|
| 17 |
+
- Small business owners creating marketing materials
|
| 18 |
+
|
| 19 |
+
The app will be particularly useful for cross-disciplinary web development teams discussing design concepts with stakeholders, to provide visual reference and preliminary materials for designs.
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
## Solution
|
| 23 |
+
|
| 24 |
+
An agentic RAG application will be able to consume a template of html data, and create creative style variations based on input and feedback discussed with the user.
|
| 25 |
+
|
| 26 |
+
### Tools
|
| 27 |
+
|
| 28 |
+
a: LLM
|
| 29 |
+
b: Embedding Model
|
| 30 |
+
c: Orchestration
|
| 31 |
+
d: Vector Database
|
| 32 |
+
e: Monitoring
|
| 33 |
+
f: Evaluation
|
| 34 |
+
g: User Interface
|
| 35 |
+
h: Serving & Inference (optional)
|
| 36 |
+
|
| 37 |
+
Describe use of agents
|
| 38 |
+
|
| 39 |
+
## Data Usage
|
| 40 |
+
|
| 41 |
+
|
| 42 |
+
|
| 43 |
+
# **Build**
|
| 44 |
+
|
| 45 |
+
## **Problem Worth Solving**
|
| 46 |
+
Designing and styling web pages requires both creative and technical skills. Many developers and designers struggle with:
|
| 47 |
+
- Translating verbal descriptions into CSS styling.
|
| 48 |
+
- Rapidly prototyping and iterating on web layouts.
|
| 49 |
+
- Learning from real-world design patterns without extensive manual effort.
|
| 50 |
+
|
| 51 |
+
An **agentic CSS style creator** can bridge the gap by understanding style requests, generating layouts, and applying creative yet functional CSS designs.
|
| 52 |
+
|
| 53 |
+
## **Potential LLM Solution**
|
| 54 |
+
- **Multi-modal learning**: Utilize a dataset of CSS styles (from CSS Zen Garden) and their corresponding rendered outputs (screenshots).
|
| 55 |
+
- **RAG-enhanced retrieval**: Combine existing UI pattern descriptions with CSS rules for better style understanding.
|
| 56 |
+
- **Agentic workflow**: Allow the model to iteratively improve its design based on user feedback, tweaking layouts and styles dynamically.
|
| 57 |
+
- **Dual input approach**: Users can either submit their own HTML or allow the agent to generate a basic layout.
|
| 58 |
+
|
| 59 |
+
## **Target Audience**
|
| 60 |
+
- **Frontend Developers** who need quick style prototypes.
|
| 61 |
+
- **UI/UX Designers** looking to explore creative styles.
|
| 62 |
+
- **No-Code/Low-Code Builders** who want AI-powered styling.
|
| 63 |
+
- **Beginner Developers** learning CSS through interactive examples.
|
| 64 |
+
|
| 65 |
+
## **Key Metrics**
|
| 66 |
+
1. **Styling Accuracy** β How closely does the CSS match the userβs description?
|
| 67 |
+
2. **Creativity & Uniqueness** β Does it produce diverse and visually appealing results?
|
| 68 |
+
3. **Functional Usability** β Are the generated styles accessible and responsive?
|
| 69 |
+
4. **Iteration Success** β Does the model effectively refine the layout based on feedback?
|
| 70 |
+
5. **RAGAS Scores** β To evaluate retrieval quality and grounding accuracy.
|
| 71 |
+
|
| 72 |
+
## **Data Sources for RAG and Fine-Tuning**
|
| 73 |
+
- **CSS Zen Garden Stylesheets** β To learn various aesthetic interpretations.
|
| 74 |
+
- **Screenshots of Zen Garden pages** β For multi-modal association between styles and visuals.
|
| 75 |
+
- **UI Pattern Dataset (with descriptions)** β To enhance textual understanding of design patterns.
|
| 76 |
+
- **Generated CSS & User Feedback Loops** β To improve iteration quality.
|
| 77 |
+
|
| 78 |
+
---
|
| 79 |
+
|
| 80 |
+
# **Share**
|
| 81 |
+
|
| 82 |
+
## **Online Communities to Share Your Project In**
|
| 83 |
+
- **r/web_design & r/frontend on Reddit** β Great for frontend developers and designers.
|
| 84 |
+
- **Twitter/X (Hashtags: #CSS, #AI, #WebDev)** β To engage with the dev community.
|
| 85 |
+
- **Dev.to & Hashnode** β For technical write-ups and project showcases.
|
| 86 |
+
- **CodePen & Frontend Mentor Discords** β Where designers and developers share web experiments.
|
| 87 |
+
- **LinkedIn Web Development Groups** β For professional feedback.
|
| 88 |
+
|
| 89 |
+
### **Best Time to Share**
|
| 90 |
+
- **Reddit**: 12 PM - 3 PM EST (high activity for tech subreddits).
|
| 91 |
+
- **Twitter/X**: 9 AM - 12 PM PST (when devs engage most).
|
| 92 |
+
- **Dev.to / Hashnode**: Post in the morning for better visibility.
|
| 93 |
+
- **LinkedIn**: 8 AM - 10 AM EST (when professionals browse feeds).
|
| 94 |
+
|
| 95 |
+
---
|
| 96 |
+
|
| 97 |
+
### **Next Steps**
|
| 98 |
+
Does this outline look good to you? Would you like me to modify anything before generating a **cover image** for your project? π
|
| 99 |
+
|
| 100 |
+
|