Engineering guides for teams building production AI agents.
The gap between a working demo and a production agent is exactly six problems. Most teams only discover them in post-incident reviews.
Read article →Most agent frameworks were designed for demos and notebooks. When real traffic arrives, three assumptions break immediately.
Read article →What state means for agents, the four approaches teams actually use, and which one survives production load.
Read article →Tool calls fail. Networks fail. APIs fail. Here's how to write agent logic that handles failure gracefully instead of crashing the entire run.
Read article →Building your own agent scaffold isn't free. The real cost shows up six months later, in your oncall rotation and your Q4 roadmap.
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