GLM-5.2 open agent benchmark: 22% Less Tool Failure

<p>Your agent passed all the tests. It's been running in production for three weeks. And it has been quietly wrong the entire time.</p> <p>This is not a hypothetical. Galileo's

<h2> Introduction </h2> <p>Most LLM tutorials assume you start from nothing. A blank project. A clean architecture. No constraints. No legacy code. No deployment history. No

<p>Most developers who build AI agents make the same mistake: they spend weeks designing the orchestration layer, tuning the system prompt, and picking the right model — then hand

<p>You've heard of DevOps. You've heard of AIOps. You've probably heard of MLOps.</p> <p>But there's a category that doesn't exist yet — and it's the one the AI industry needs

<p>Anthropic shipped Opus 4.7 on April 16, 2026. Same $5/$25 pricing as 4.6. Same 1M context. Same 128K output ceiling. Different model entirely when you put it in an agentic

<p>Your Intel laptop has an NPU. It has probably had one for a while. Intel has been marketing it enthusiastically. You have been ignoring it politely.</p> <p>Fair enough. Until

<p>Claude's tool use (function calling) API is what separates toy chatbots from actual agents. I've built production agents with it — here's what reliable tool use looks like when

<p>Salesforce just flipped a switch at TDX 2026 that matters more than most announcements in recent memory: your Salesforce org is now an MCP server. Every Developer Edition org