VIBE CODE an AI Paul Graham! Here’s My Secret Framework…
AI Summary
Video Summary: Creating an AI Agent
- Introduction to AI Agent Creation
- Building an AI version of Paul Graham in one hour using Vibe coding.
- Utilizes a minimal framework called Pocket Flow (100 lines of code).
- Combines with Cursor AI for enhanced functionality.
- Understanding Pocket Flow
- A minimal large language model framework.
- Provides core graph abstraction for various AI designs such as agents and workflows.
- Pocket Flow integrates seamlessly with Cursor AI.
- Template available for setting up projects easily.
- Project Requirements
- Aim: Develop an AI that mimics Paul Graham using his essays as data.
- Implementing retrieval-augmented generation to answer questions.
- Focus on conversational style to replicate Paul Graham’s voice.
- Utility Functions Design
- Define APIs/tools required (e.g., data loading, text chunking, embedding generation, vector search).
- Choose models: Vertex AI Claude 3.7 for LLM, Google Cloud’s Text Embedding 005 for embedding, CHIRP-3 for text to speech.
- Flow and Data Structure Design
- Two process flows: offline (text chunking and embedding) and online (query processing, answer generation).
- Data structure includes text chunks, user questions, and vector database.
- Implementation Process
- Cursor AI handles Vibe coding based on design documents.
- Example query tested: “How to find a good startup idea?”
- Generated response emulates Paul Graham’s style.
- Conclusion
- Future of coding focuses on human design, while AI handles implementation tasks.