HaiAI123

Curated Global AI Tools Directory

Industry update
25
heat index
Flat

How to keep AI agents from running out of control in production

10/31/2026 — 11/02, 17:23·2 sources (all)·2 reports (all)

Key takeaways

  • A newer piece uses an Insights Agent on Mattrx, orchestrated with LangGraph and traced with Langfuse, to map what agents need before reachin…

Latest turnUsing the Insights agent on his Mattrx analytics platform, orchestrated with LangGraph and traced with Langfuse, the author breaks down what separates a demo agent from a production one: the loop, planning, tool use, memory, reflection, and guardrails. Typical failures include looping on ambiguous tasks, calling tools that don't exist, burning tokens on a single question, and taking destructive write actions. The advice: give the agent only the capability it needs for the next decision.

24-hour heatHeat index 25
Just charted — trend is building up
24 hours agonow

Reports on this story headlines open the original

Nov 2
  1. Using the Insights agent on his Mattrx analytics platform, orchestrated with LangGraph and traced with Langfuse, the author breaks down what separates a demo agent from a production one: the loop, planning, tool use, memory, reflection, and guardrails. Typical failures include looping on ambiguous tasks, calling tools that don't exist, burning tokens on a single question, and taking destructive write actions. The advice: give the agent only the capability it needs for the next decision.

    DEV Community · AIAI score 61
Oct 31
  1. An agent doesn't run tools itself: the model issues the call and the application executes it. This long-form post walks through the full path from a single Function Calling round to production-grade tool orchestration, with runnable code and a symptom-cause-fix troubleshooting table covering tool descriptions and parameter validation.

    掘金AI score 52

Other stories people are talking about

How is heat calculated?About the method

Heat counts how many independent sources covered a story in the last 48 hours: one source counts once no matter how many posts it published, decaying with a 24-hour half-life. What ranks first is what many people are talking about.

This page aggregates public feeds. Headlines and summaries are machine-organized and remain the property of the original authors; verify important facts at the source. If you believe a headline or summary infringes your rights, email the contact address in the footer with the page URL and basis of your claim, and we will remove or replace it after review.

Surge
Discussion rising fast
New
First report within 6 hours
Rising
Still gathering discussion

Back to AI industry updates →