Stop giving your AI agent tasks — give it goals
The difference between managing and micro-managing AI agents is the same gap that separates good tech leads from bad ones. Share the why, not just the what.
· 8 min read
Technical Blog
Daniel Dewhurst
Lead AI Solutions Engineer with 10+ years in web development. Writing about AI, Laravel, TypeScript, and the evolving craft of building software.
Latest
GLM-5 vs Kimi K2.5 vs MiniMax M2.5: a practical coding showdown
Three Chinese MoE models claim frontier-class coding at a fraction of Opus pricing. Here's how they actually perform in Claude Code, Cursor, and real developer workflows.
· 11 min read
More posts
Browse: a faster alternative to Playwright MCP for AI agents
Introducing browse, a CLI tool that wraps Playwright behind a persistent Unix socket daemon for sub-30ms browser automation commands.
· 5 min read
Nemotron 3 Super: NVIDIA's 120B open-weight model built for agentic workloads
NVIDIA's Nemotron 3 Super packs 120B parameters into 12B active, combining Mamba-2, Transformers, and a novel LatentMoE — all open-weight and purpose-built for multi-agent systems.
· 8 min read
NotebookLM without the browser: automate AI podcasts from your terminal or your chatbot
notebooklm-py gives you programmatic access to Google NotebookLM. Even better, it works as an AI agent skill — so you can generate podcasts, quizzes, and slide decks just by asking Claude or ChatGPT.
· 6 min read
cmux: a purpose-built terminal for the parallel agent workflow
cmux is a native macOS terminal built on Ghostty's rendering engine, designed for running multiple AI coding agents in parallel with rich notifications and a scriptable API.
· 7 min read