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Why your agent demo doesn't survive a real workflow

The five failure modes that kill agent systems after the demo — and the architecture patterns that prevent them.

JL
Jamie Liu
Editor at Skill Trek
APR 10, 2026
Why your agent demo doesn't survive a real workflow

Agent demos are seductive. The planner calls tools, tools return results, the executor synthesizes and responds. The happy path is genuinely impressive. Then you hand it to a user and the first edge case sends it into a retry loop that burns $40 in API calls before timing out.

Failure mode 1: unbounded tool loops

The most common production failure is an agent that calls the same tool repeatedly because it doesn't know when it has enough information. Fix: explicit termination conditions on every loop, a maximum step count enforced at the orchestrator level, and a fallback that escalates to a human rather than retrying.

Warning

Never let an agent decide when it's done. Always build an external stop condition. Agents are optimistic about their own progress in ways that compound expensively.

JL

Jamie Liu

Security engineer and SRE. Writes about threat modeling, incidents, and defensive AI.

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