🎬 ¡No construyas Agentes IA hasta que veas esto! [Secretos de Anthropic]
Video Details
Channel: Ro Analytics
URL: https://www.youtube.com/watch?v=3kzen1qCMBY
Relevance: ⭐⭐⭐⭐⭐
Summary
Translation and expansion of Anthropic’s internal guidance: ‘Build what you need, not what you can’. Key insights: (1) The context window IS the agent’s world — garbage in, garbage out; (2) System prompt quality matters more than model size for domain-specific tasks; (3) Structured output instructions in the prompt dramatically improve consistency; (4) Tool descriptions are part of the context — vague tools = wrong tool calls.
PUMA Relevance
Directly informs PUMA’s prompt engineering approach. Insight 2 (system prompt > model size) supports using 8B local models with excellent prompts rather than larger cloud models with generic prompts. Insight 3 (structured output instructions) is why PUMA’s prompts explicitly request JSON output in the TriageResult format. Insight 4 motivates detailed Pydantic schema descriptions.
Related Notes
- PN-CoT-FewShot-Prompting
- 40 - Projects/PUMA/41.3 Methods/Prompting-Strategies
- SP-Triage-Agent