12 factor rules for reliable agent design
Автор: Mira Solaris
Загружено: 2025-12-31
Просмотров: 5
AI agents look magical in demos — but most of them break the moment they hit the real world.
In this video, we introduce 12 Factor Agents, a design pattern for building reliable, debuggable, production-ready AI agent systems. Instead of focusing on how smart an AI model is, this talk explains how system design determines whether an agent succeeds or fails.
We walk through:
Why agent demos fall apart in production
The four pillars of reliable agent design
All 12 rules of the 12-Agent Design Pattern
How companies like OpenAI, Anthropic, LangChain, and Microsoft AutoGen independently converged on the same principles
How to debug agent failures as system failures, not model failures
If you’re building AI agents, LLM systems, or autonomous workflows, this video will change how you think about reliability.
Large language models provide intelligence.
12 Factor Agents provide reliability.
#ai agents #12 factor agents #llm agents #agentic system design
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