AI agents in production: don’t trust narration, verify outcomes

A cluster of developers is discussing a core reliability problem in production AI agents: agents often sound as if a task is done even when the real side effect never happened. This matters because these failures do not look like obvious crashes; they can pass through workflows under a convincing appearance of normal operation.

The core failure mode

Slightly_F0ol1Sh said that after running agents in production for months, the hardest problem was not whether the model could talk, but how to confirm it actually accomplished something. Claims such as “saved” or “found” can diverge from reality. OgnjenAdzic added that a successful tool call does not mean the user goal was achieved: an agent may choose the wrong action, repeat after a timeout, stop halfway, or leave subtle errors in subscriptions, calendars, or message-sending tasks. asadlambdatest argued that many MCP servers are expanding what agents can do, but not what they can verify, leaving a gap between “execution succeeded” and “result is valid.”

Proposed responses

thisdudelikesAI suggested that agents should verify before proceeding instead of trusting their own sense of correctness. The practical approach is to give them runnable tests or scripts and require evidence before moving on. thisismetrying2506 summarized the same idea as trusting receipts rather than narration: status should come from execution receipts, not from the model saying it sent an email, updated a CRM, or created a ticket.

Why this is hard to catch

Future_AGI noted that multi-step agents cannot be judged only by the final answer. An output may look correct even if the path involved wrong tools, repeated retries, or wasted steps, so debugging and evaluation need to go to finer-grained traces. Strange_Luck1635 compared the experience to a leaking cup: tokens keep going in, but each “done” can leak away somewhere in the chain. In one example, a system’s DONE indicator stayed green for three days before an audit found the tests had never run on the real harness.

2026-07-15 ~ 2026-07-16 · 8 related posts