1 min read
▶ Video
What we learned shipping AI agents to production
Agents are fun in a demo and humbling in production. Here are the guardrails that made ours reliable enough to trust.
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8 min read
Building reliable tools for LLMs
Function calling, agents, and MCP all rest on the same thing: tools an LLM can invoke. But a tool built for a non-deterministic, fallible caller needs different design than one built for code. A deep-dive on what makes a tool reliable for an LLM — naming, scope, validation, error messages it can recover from, and the safety that can't live in the model.