Blog

Fixed SaaS loses to models. Blank-canvas AI builders lose to the cold start problem. What wins is 80% ready software that the business shapes by talking to it.

Every time you open Claude Code on a new repo, you start from zero. claude-init fixes that by analysing your codebase and generating a complete .claude/ configuration.

Most agent evals measure the wrong things. After running two agents in production for six months, here's the framework I actually use — with real metrics, LLM-as-judge calibration data, and the $300 lesson that started it all.

I built a Claude Code skill that writes blog posts in my voice from any session. The hard part wasn't the workflow, it was the voice.

This entire website was built, redesigned, and maintained by Claude Code. Here's every prompt, tool, and workflow behind it.

I built an agent observability dashboard after an OpenClaw cron job silently burned $300. Here's the problem and what WIMAUT does.

How I set up a local LLM on a base-model Mac Mini, put it behind a public URL with Cloudflare Tunnels, and locked it down with Cloudflare Access. No port forwarding required.

I built two OpenClaw agents for Voltade. One manages our customers. The other runs our internal ops. Here's what I learned about deployment, models, and what agents are actually good for.

Software's marginal cost is approaching zero. SaaS as a business model is dying. The winners will be AI-native services firms, not tool makers.

A predictable workflow that interrupts focus is worth automating. How I evaluated three approaches and shipped an internal tool in a day.

This post lives on Medium. A look back at my internship at Ninja Van, working on the Tooling & Automation team.