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Why AI Agents Fail in Production — and How I Fixed Each Failure

The contrarian take: most agent failures are not the model's fault. They are architectural. Here is...

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dev.toStai leggendo22 h fa

Why AI Agents Fail in Production — and How I Fixed Each Failure

Production agent failures stem from seven architectural flaws in context handling and loop termination, not model quality. Teams deploying agents should prioritize loop engineering—end states, context isolation, tool-drift monitoring, escalation—over model upgrades.

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forbes.com1 g fa

Why AI Agents Fail In Production And What The Execution Gap Means

Gartner predicts 40% of agentic projects will fail because compound DOM errors mean 95%-accurate agents succeed on 20-step tasks only 30% of the time. Pre-processing pages into action maps lifts success 50%→85% while cutting tokens 95%; execution infrastructure, not intelligence, is the bottleneck.

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Timeline cronologica

mercoledì 12 agosto 2026·dev.to
How AI Agents Actually Work Under the Hood: Tools, Memory, the Loop
A practical look at the runtime of an AI agent — what actually happens between the prompt and the...
mercoledì 12 agosto 2026·dev.to
Stop Fine-Tuning Your Model. Your Architecture Is the Problem.
An honest take on where AI agents, LLMs, and production systems actually are right now -- from someone deep in the space.

Why AI Agents Fail in Production — and How I Fixed Each Failure

Why AI Agents Fail In Production And What The Execution Gap Means

Timeline cronologica

How AI Agents Actually Work Under the Hood: Tools, Memory, the Loop

Stop Fine-Tuning Your Model. Your Architecture Is the Problem.

Why AI Agents Fail In Production And What The Execution Gap Means

Why AI Agents Fail in Production — and How I Fixed Each Failure