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 478 posts across 52 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 (95), AI Agent Architecture (58), AI Tools (38), and AI Coding Agents (26). 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.
Verified facts on your own site are not enough. AI-mediated discovery also depends on whether other surfaces repeat, confirm, and stabilize those facts.
A practical JQ AI SYSTEMS breakdown of three one-person AI business ideas: Microsoft Copilot training, paid AI communities, and vibe coding agencies built around the deployment gap.
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.
AI browsers promised to put an assistant beside your tabs. Codex, Claude Code, and Claude Cowork suggest a bigger shift: task-based agent workspaces where the browser, files, tools, and review surface live together.
Codex now supports Computer Use on Windows and remote control from ChatGPT mobile. Here is how it works, when to use it, and how to keep desktop agent tasks safe.
Google has taken AI search reporting further, but small businesses still do not have perfect measurement. Here is the practical answer: what is measurable now, what is not, and what to track anyway.
Zero AI search mentions are still normal for most brands. Here is why that happens, why it is not only a content problem, and what to fix first.
AI search does not need more brochure pages. It needs source-worthy service pages with direct answers, proof, structure, and internal support. Here is how to build one.
Google has brought Preferred Sources into AI Overviews and AI Mode. Here is whether a small brand should actually ask readers to add them, and how to do it without sounding desperate.
Codex is turning into an AI super app while Opus 4.8 shows the model race is getting subtler. Here is what changed, what is confirmed, and what builders should do next.
AI plugins, MCP tools, and work plugins are becoming the workflow layer around AI agents. Here is how businesses should think about permissions, tools, review, and rollout.
AI can accelerate web production, but it can also flatten brands into the visual mean. Here is why bland AI-built sites become weaker in multimodal and AI-mediated discovery.
Voice, image, and follow-up search behavior are becoming normal. Here is why brand visibility now depends on more than text pages alone.
Google is pushing Search toward custom dashboards, mini apps, and agentic workflows. That makes utility pages more strategically interesting than generic AI-written content.
AI agents are starting to browse and act on websites more like users. Here is what makes a site easier for agents to understand and safer for businesses to expose.
As AI systems summarize brands, the real question is not only visibility. It is whether your facts are consistent enough to survive AI mediation without distortion.
Verification, provenance, and content credentials are moving from abstract policy talk to practical brand infrastructure. Here is what that means for AI search visibility and trust.
A practical JQ AI SYSTEMS roundup of this week's hot GitHub repos suggested by The Next New Thing: Understand Anything, CodeGraph, AppFlowy, cal.diy, MoneyPrinterTurbo, Presenton, Stop Slop, RuView, and more.
AI agent memory is becoming the new business knowledge base. Learn how memory differs from chat history, why agents forget work, and how small teams can structure context for better automation.
Safe AI coding agents need more than good prompts. Learn how small teams can use sandboxes, approvals, logs, network limits, and review queues before giving Codex or Claude Code more autonomy.
ChatGPT Ads are rolling out through OpenAI Ads Manager Beta. Here is what small businesses should know about campaigns, context hints, tracking, landing pages, and testing before spending.
AI Search is making top-of-funnel reporting noisier. Here is why small brands should track conversions, quality, and assisted outcomes instead of obsessing over click loss alone.
Claude Opus 4.8 improves coding, tool use, honesty, and long-running workflows. Here is what changed, how to use effort levels, and what builders should test before switching.
Google says Search is expanding agentic booking, local services, and even calling businesses on users’ behalf. Here is what service businesses should fix before agentic discovery becomes normal.
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