Every case study, system breakdown, and field note, newest first and filterable by topic. No theory, no demos. Only systems that run in production and what it took to get them there.
This is the complete archive: all 513 posts across 54 topics, newest first, filterable by category. It holds the case studies, the model and tool comparisons, and the field notes from systems I built and run. For the curated view, where the writing sits alongside the free Claude Code skills, start at the Library instead.
The archive leans in four directions: AI Search Visibility (98), AI Agent Architecture (61), AI Tools (38), and AI Coding Agents (27). Those four account for most of what I publish, because they are where most of the client questions land.
Three places to start. The AI search visibility guide is the hub for the largest cluster and links out to every spoke in it. Grok Imagine vs Midjourney is the image model comparison, rebuilt against live leaderboard data rather than left to go stale. OutreachIQ is the longest running system breakdown here, from first prototype through to a public repo.
How Mads Lorentzen turned Claude Code into a job-search agent: fit scoring, tailored applications, independent review, interview prep, and honest tracking.
Charles Broomfield connects an AWS layoff, an eight-hour app build, and AI-generated motion graphics to a warning about knowledge work. Here is what is personal testimony, what current evidence supports, and how to prepare without panic.
Nate Herk demonstrates agentic AI for analytics, a small operations app, and lead research. Here is the evidence behind the job claims and a safer three-stage plan for becoming an effective AI manager.
A source-checked playbook for making money with Claude by improving one measurable workflow, proving the result, and turning the evidence into consulting revenue or an in-house AI role.
What does an AI forward deployed engineer do? A source-checked guide to FDE work, salaries, audits, evals, deployment, security, and a 30-day portfolio plan.
Nate Herk argues that a valuable AI career may be created from inside your current company. Here is the source-checked four-step path from low-risk workflow wins to an in-house AI operator role.
Nate Herk argues that Claude skills only matter if you can diagnose business constraints, tie work to KPIs, and prove results. Here is the practical JQ AI SYSTEMS playbook.
Every post here is about a system that actually shipped. Book a free call and let's talk about what could ship for you.
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