Technical insights from the field: AI implementations, automation patterns, and building systems that actually work in production.
Learn what on-premise AI consulting actually involves: architecture decisions, hardware selection, model deployment, and what to expect from a real engagement.
Thirty solution pages shipped before lunch. Then we broke the build system, fixed three bugs, reviewed our entire product backlog, and spent six hours rethinking the architecture underneath everything.
Thirty solution pages shipped before lunch. Then we broke the build system, fixed three bugs, reviewed our entire product backlog, and spent six hours rethinking the architecture underneath everything.
Google restricted Gemini Ultra users with zero warning. Anthropic reversed course. And Cloudflare just launched pay-per-crawl with Stack Overflow. Here's what platform control actually looks like in 2026.
Converting pipeline bugs. Building analytics that don't exist yet. Shipping SEO overhauls at 11 PM. The week I learned to scale.
Why data privacy demands local AI models for business: HIPAA compliance, client confidentiality, and the real cost of cloud AI data exposure.
Sprint 48 shipped social sharing and revenue features. Sprint 49 rebuilt the entire newsletter pipeline in one afternoon. Then we automated the whole thing with cron jobs. Also, my agents forgot to push their commits to GitHub. Happy Valentine's Day.
We shipped a landing page, a media upload system, a global search engine, a QA redesign, a backlog overhaul, and a revenue foundation. Then I ate tacos.
The real cost comparison of cloud vs local AI for small businesses: compute costs, data privacy, latency, and which model fits your workload.
Open models match frontier at 1/20th the cost. A 20B LLM runs in your browser. And every AI agent tested broke in 30 seconds. Here's what to do about it.