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LLM Model Selection: How to Pick the Right Model for Every Agentic Task
Someone on your team defaulted to the latest and greatest model available, which is also the most expensive model. Maybe…
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Best LLM Observability Tools of 2026: Top Platforms & Features
LLM applications are everywhere now, and they’re fundamentally different from traditional software. They’re non-deterministic. They hallucinate. They can fail in…
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I Built a RAG Pipeline for F1 Team Radio, Then Made It Grade Itself
I wanted to see if I could build a RAG system that would output interesting and accurate F1 race weekend…
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Beyond the Single Trace: How We Built Agent Diagnostics for Opik
If you run an AI agent in production, you already know the drill. Something goes wrong, a user complains, or…
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What Is an Agent Harness? The Layer That Makes AI Agents Actually Work
If you’ve shipped an LLM-powered feature beyond a simple chat interface, you’ve already built parts of an agent harness. The…
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How We Optimized Opik’s MCP Server for Cost & Performance
Like a lot of engineering teams, earlier this year we found ourselves hitting limits on AI token spend, trying to…
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Engineering Insights: How Internal Optimizations Led to Comet Cost Intelligence
AI budgets are no longer growing unchecked. Across the industry, engineering teams are being asked to do more with less,…
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Opik + Oracle Agent Specification: Build Once, Run Anywhere
Today, we’re announcing Opik’s integration with Oracle’s Open Agent Specification, a partnership that fundamentally changes how AI teams build, test,…





















