New to AI agents: what did your first builds actually teach you?
A cloud/dev engineer asks the community which agents turned out genuinely useful, which ones looked good in demos but broke in production, and what surprised them about tool-calling, evals, and guardrails. Answers converge on a practical rule: ship the boring-but-measurable agent first, and skip the multi-agent system until the single agent's failure modes are boring.