AI agents don’t just need better reasoning. They need better stopping rules.

<!-- SC_OFF --><div class="md"><p>Gemini 3.5 Flash launched Tuesday, and Google barely framed it as a conversational product. Instead, the company focused on coding pipelines,

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t5lywi/i_analyzed_922_agentic_task_trace_and_found_the/"> <img alt="I analyzed 922 agentic task trace and

<!-- SC_OFF --><div class="md"><p>I’m starting to think most “agent bugs” aren’t bugs. They’re mismatches between what we think we asked and what the agent thinks we asked.</p>

<!-- SC_OFF --><div class="md"><p>Every time one of our agents made a bad call in production, we had the same problem. Logs showed what happened. Nothing showed why it decided to

<!-- SC_OFF --><div class="md"><p>(AI Was not used for generating the below post)</p> <p>I've been developing with AI for over 3 1/2 years now, my AI DM setting operation which

<!-- SC_OFF --><div class="md"><p>Just came back to Atlas Browser to see what’s changed since I last tried it a few months ago.</p> <p>The agent still seems to struggle with very

<!-- SC_OFF --><div class="md"><p>we run an agent thing in production and we use langfuse for traces.</p> <p>last month our agent started refusing requests it should have

<!-- SC_OFF --><div class="md"><p>I'll be upfront about my endgame: I work at a large tech company, I have a niche picked out, and I'm making the move to build and sell AI agents