EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 19·5 min read
Collaborative Human Agent Protocol (CHAP)
TL;DR
Collaborative Human Agent Protocol (CHAP) streamlines the collaboration between humans and AI agents by storing decisions in a structured, queryable format. This approach enhances accountability and reduces the time needed to reconstruct past interactions.
✦ Why It Matters
Implement CHAP to streamline decision tracking and improve accountability in human-agent collaborations today.
Key Takeaways
- Integrate CHAP to streamline human-agent collaboration.
- Use the envelope structure for better decision documentation.
- Analyze override patterns to improve AI performance.
- Implement CHAP in TypeScript or Python for flexibility.
How It Works
CHAP records interactions between humans and AI agents in a structured format called an envelope. Each envelope contains the AI's draft, the human's edits, and metadata such as rationale and tags.
This allows for easy querying and auditing of decisions made over time, facilitating better understanding and accountability in collaborative tasks.