Blog
Thoughts on AI cost, context efficiency, and agentic development.
Conduct is open today. Here's the honest version.
A quiet launch note from a product-first team. What v1 is, what it isn't, how to onboard in an afternoon, and a standing offer of a 60-day free evaluation.
Which AI model should you use, and for which task?
Claude, GPT-4o, Gemini, DeepSeek, Mistral, Llama, a practical guide for developers on picking the right model for the job. With code examples and ConductGuard governance.
Stop paying Opus prices for Haiku work.
Most AI coding setups default to the most capable model for every task, including fixing a typo. That's a 4x cost penalty on work a cheaper model handles just as well.
RTK: how we cut 93% of CLI token noise from AI coding sessions.
Every time Claude runs a command, the full output lands in the context window. A single git log can burn 4,000 tokens. RTK filters that noise before it ever reaches the model.
Why your AI reads the whole file when it only needs three functions.
AI coding tools aren't lazy, they're blind. They can't see inside a file without reading it. Agent Booster gives them a map so they don't have to.