This is the second post in a series of posts about building reliable AI agents.
When building AI agents, where do your prompts live? If they're hidden inside frameworks or scattered across configuration files, you're missing a fundamental principle of maintainable AI systems: treating prompts as first-class code citizens.
Read More →This is the first post in a series of posts about building reliable AI agents.
Unlock reliable, testable AI agents by treating your LLM as a parser, not an executor. Learn how converting natural language into structured tool calls leads to predictable, scalable systems.
Read More →After building production AI systems over the past few years, thanks to HumanLayer, I’ve learned that most agent failures aren’t about the LLM, they’re about architecture.
That’s why I’m creating a series of posts sharing the 12-Factor Agents methodology using Mastra.
In each part, I’ll break down one principle that transforms fragile prototypes into robust, production-ready AI agents.
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