AINewsnow

Improve your Agent: From a bad answer to a report showing how much it improved and why - all via MCP

This story is from 2026-09-30. It is preserved in the archive; the latest stories are on the live feed.

I’m launching Datool , an open-source alternative to Langfuse for tracing and evaluating AI applications. The workflow I want to make easier is the one after you find a bad answer: keep the example, turn it into a test, try a change, and check whether the result improved. From a Bad Answer to Repor…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-09-30 03:25 · DEV Community — AI
    Improve your Agent: From a bad answer to a report showing how much it improved and why - all via MCP

More stories

  1. NVIDIA Open Agent Safety Platform: A Reference for Continuous In-Silicon Agent Monitoring — NVIDIA Technical Blog
  2. The Future Is for Everyone: Muse for Small Business — Meta Newsroom
  3. How we found 24 Android vulnerabilities using our open source AI security agent — GitHub Blog
  4. Introducing Claude Sonnet 5.5 on AWS — AWS Machine Learning Blog
  5. OpenAI launches Dots, its Muse competitor — The Verge AI
  6. OpenAI pauses AI training, launches ‘extensive’ review after multiple rogue agent incidents — Mint AI
  7. Anthropic warns of ‘existential risks to humanity’ in IPO prospectus — Financial Times AI
  8. OpenAI Scraps Release of New AI Model Over Safety Concerns — Wall Street Journal Technology

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