Survey finds 90% of production agent outputs are human-checked, scope reduction improves reliability
A survey of teams running agents in production reveals that over 90% hand agent outputs to a human before acting on other systems. Deployment data shows narrow, single-workflow agents succeed on schedule 65% of the time versus 16% for broad-scope agents, suggesting the reliability problem is more about scope than model capability.
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2026 survey finds enterprise AI agent pilot-to-production rates as low as 5%
A 2026 survey of enterprise AI agent deployments found that only 5% to 23% of pilots reach production, with the model itself rarely being the cause of failure. The findings highlight persistent challenges in operationalizing AI agents beyond proof-of-concept stages.
Building an Agent Harness and Eval Pipeline with Durable Actors
A developer outlines the need for a robust agent harness and evaluation pipeline to make AI agents production-ready, using durable actors to prevent crashes mid-task. The post describes a coding assistant that debugs production incidents via multiple tool calls over minutes, highlighting reliability challenges.
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Community coins 'loop engineering' as discipline for production AI agents
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