Machine Learning Build a Deployment Simulation Eval to Catch Model Drift
Replay real conversations through a candidate model to predict misbehavior before you ship.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Machine Learning Replay real conversations through a candidate model to predict misbehavior before you ship.
Tutorials Build a plan-act-verify agent loop with an external check, retry budget, and clear stop rules.
Tutorials Index and search images and text together with Gemini Embedding 2 File Search, no OCR.
Tutorials Let Claude write code that calls your tools in a loop — 20–40% fewer tokens, same accuracy.
Tutorials Drive Moonshot's open-weight coding model through a real tool-calling loop in Python.
Tutorials MiniMax M3 hands-on: MSA sparse attention plus real 1M-token long context, with runnable Python.
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Tutorials Stop runaway tool calls and agent spawning using canUseTool, PreToolUse hooks and deny rules.
Tutorials Catch Claude Fable 5's stop_reason refusal and auto-retry on Opus 4.8 without breaking production.
Tutorials Run Google's open Gemma 4 locally with Ollama and wire up real function calling for an agent.
Tutorials Build a tool-using agent on Anthropic's Claude Fable 5 that plans, acts, and verifies its own work.
Tutorials Control thinking_level, media_resolution and thought signatures in the Gemini 3.1 Pro API.
Tutorials WWDC let iPhone users pick ChatGPT, Gemini, or Claude. Build the same model router in Python.