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10 Lessons From Production AI Agents
Ten practical lessons from tracing, evals, prompt versioning, routing, and security.
Why You Need Offline and Online Evals
Offline evals catch expected regressions. Online evals catch live drift and surprises.
Why Your Traces Are Lying to You
Step-level traces show why agents fail, not just whether a request completed.
The 90-Day Playbook for Teams That Shipped AI Agents Too Fast
64% of enterprise teams deployed AI agents before they felt ready. Here is the practical 90-day sequence to harden what is already running — inventory, guardrails, observability, and attribution.
Three Days Debugging a One-Line Fix: Why AI Agents Need Tracing
Three days debugging a one-line fix. Most AI agents have zero observability. Here is how to instrument them like the distributed systems they are.