AINewsnow

Why My Agent Refused 96 Times Before Getting It Right: Lessons from Building Reliable AI Agents in Production

This story is from 2026-08-29. It is preserved in the archive; the latest stories are on the live feed.

Originally published on tamiz.pro . After the 96th failed deployment, I stopped asking the LLM to be more careful and started asking it to be honest about what it didn't know. The difference wasn't in the prompt—it was in the architecture around it. Building reliable AI agents in production isn't a…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-08-29 18:01 · DEV Community — AI
    Why My Agent Refused 96 Times Before Getting It Right: Lessons from Building Reliable AI Agents in Production

More stories

  1. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  2. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  3. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  4. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  5. NVIDIA CEO Jensen Huang rejects ‘AI will end the world’ claim, yet cautions ‘we should go as fast as we can but...’ — Mint AI
  6. Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
  7. AI hallucination of Chinese nuclear components almost led to US military attack — Ars Technica AI
  8. The new AgentCore runtime: Elastic, optimized, and consistently fast starts — AWS Machine Learning Blog

Get the daily brief of stories like this at 6:30 every morning →