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 347 posts across 40 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 (73), AI Agent Architecture (52), AI Tools (27), and AI Coding Agents (21). 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.
Paul J Lipsky turns Anthropic's official Opus 5 prompting guide into five practical rules. Here is the source-checked version, with effort routing, reusable templates, verification boundaries, and a better evaluation method.
Claude Cowork can turn a narrated screen recording into a reusable skill. Here is how Record a Skill works, what Miles Deutscher demonstrated, and how to make the resulting workflow reliable and safe.
Matt Van Horn and Andrew Warner explain how Last30Days gives AI agents current research across X, Reddit, YouTube, TikTok, Instagram, GitHub, and more. Here is the setup, Doctor mode, source verification, and safe workflow.
Rob The AI Guy tours ChatGPT 5.6 Skills, Sites, Appshots, plugins, Scheduled tasks, Work, and Computer Use. Here is the practical setup, safer defaults, and four reusable prompts.
HubSpot's free ChatGPT at Work bundle, updated for GPT-5.6 and ChatGPT Work, with five project templates and 100 copy-ready workplace prompts organized by use case.
Nate Herk shows how to keep Fable 5-style process after access changes: turn good runs into skills, use effort levels deliberately, and route cheaper models to the work they can handle.
Dan Martell shares 40 AI productivity truths. Here is the practical JQ AI SYSTEMS version: tighter context, better examples, voice input, review loops, finished workflows, owned agents, and AI adoption that actually moves business metrics.
Robert Greene tells Calum Johnson that AI changes the tools, but not the power game. Here is the practical JQ AI SYSTEMS version: create dependence, build rare judgment, use AI as leverage, and stay useful when work gets automated.
Fable 5 is back with limits, credits, and stronger safeguards. Here is the practical playbook: code review, UX walks, business strategy, security loops, MCPs, and prompts worth spending Fable on.
Greg Isenberg interviews Matt Van Horn about Last 30 Days, a Claude Code skill that researches X, Reddit, YouTube, Hacker News, Polymarket, GitHub, and the web so prompts start with current intelligence.
Nate Herk says four Claude Code upgrades helped him make more money: stress-test ideas, verify outputs, manage context, and use sub-agents. Here is the practical JQ AI SYSTEMS version.
Greg Isenberg argues that "learn AI" is too vague. The durable move is to build a skill stack: agents and local models, distribution, robotics, curation, builder-distribution, and real-world community.
FutureTools tested nine free skills and plugins for Claude Code, Codex, Cursor, Hermes, OpenClaw, and other coding agents. Here is the practical JQ AI SYSTEMS guide to what to install first, what each skill does, and where to be careful.
A practical JQ AI SYSTEMS guide to 12 Claude skills for vibe coders, with credit to Lead Gen Man, plus five GitHub trending repos for agentic video, voice, cybersecurity, memory, and coding workflows.
A practical JQ AI SYSTEMS guide to the nine AI skills from the video, plus nine more skills for turning AI into workflows, memory, agents, review loops, and business leverage in 2026.
A practical framework for turning repeatable prompts into installable AI skills with folders, metadata, assets, install scripts, release notes, and review discipline.
Prompt libraries are useful, but reusable AI work is moving toward skills, connectors, subagents, and review steps. Here is how to turn a good prompt into a workflow asset.
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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