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Storia in 2 fonti

Why most AI agents disappoint in production (and what to fix first)

Agents disappoint in production when we ask them to drive on roads built for dashboards. Build these four guarantees into the substrate to make them reliable.

Raccontata dadev.toinfoworld.com

Confronto fonti

2 prospettive sulla stessa storia
AI · summaries
infoworld.comStai leggendo18 h fa

Why most AI agents disappoint in production (and what to fix first)

Agents disappoint in production when we ask them to drive on roads built for dashboards. Build these four guarantees into the substrate to make them reliable.

originale
dev.to3 g fa

Why 91% of AI Agents Fail in Production (And What the 9% Do Differently)

Everyone is building AI agents right now. Autonomous systems that reason, plan, and act without...

Leggi questa versione → originale

Timeline cronologica

  1. sabato 23 maggio 2026·dev.to

    Autonomous Agents: what breaks first (and why that's the real product) [2026-05-23]

    Most "AI agents" you see online are basically: a scheduled loop a prompt a couple API calls That...

  2. sabato 23 maggio 2026·dev.to

    AI Agents in Practice — Read from the beginning

    The AI Agents in Practice series. Learn how to build production-grade AI agents from first principles — why agent demos break, what holds up in production, and the patterns that…

  3. sabato 23 maggio 2026·dev.to

    The Rise of Production-Grade AI Infrastructure

    Most AI products today are impressive in demos. But the moment they hit production: workflows...

  4. sabato 23 maggio 2026·dev.to

    Why 91% of AI Agents Fail in Production (And What the 9% Do Differently)

    Everyone is building AI agents right now. Autonomous systems that reason, plan, and act without...

  5. lunedì 25 maggio 2026·dev.to

    The Hidden Problem With Long-Running AI Agents Nobody Talks About

    Most AI agent demos look impressive for the first 10 minutes. The agent receives a task. Calls...

  6. lunedì 25 maggio 2026·dev.to

    I’m Building Around the Gap Between AI Output and Repo Truth

    I’ve been thinking a lot about a failure mode in AI-assisted development that does not fit neatly...

  7. lunedì 25 maggio 2026·dev.to

    Observability for AI Systems: Monitoring Drift, Hallucinations, and Reliability in Production

    Part 5 of a series on building reliable AI systems So far in this series, we explored: AI...

  8. martedì 26 maggio 2026·infoworld.com

    Why most AI agents disappoint in production (and what to fix first)

    Agents disappoint in production when we ask them to drive on roads built for dashboards. Build these four guarantees into the substrate to make them reliable.