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.
Andrew Warner and Corey Ganim covered a week of AI drops: Codex Record & Replay, Claude Tag in Slack, Zapier MCP, Bluerails, Claude Code artifacts, Revid, WorkClaw, second brains, OpenRouter MCP, and more. Here is what builders should actually test.
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.
If AI citations move more often than most brands expect, your service pages need a maintenance rhythm rather than one big optimization sprint. Here is how I would structure it.
A practical JQ AI SYSTEMS roundup of The Next New Thing's June 25 GitHub Hot Repos report: OpenMontage, codebase-memory-mcp, timesfm, peerd, FluidVoice, birdclaw, worldmonitor, penpot, voicebox, system prompt leaks, Agent-Reach, daily_stock_analysis, and OpenCut.
Mikey No Code shows how to build an MVP with AI using Base44. The real lesson is not just speed: use AI to get to validation faster, with working auth, data, deployment, and feedback loops.
Andrew Warner and Eric Siu review real Hermes Agent use cases: computer control, competitor research, memory systems, Linear and Notion handoffs, Slack and Discord channels, remote gateways, crons, and reusable skills.
Helpful content is no longer only a text question. In multimodal and AI-mediated discovery, visual identity discipline becomes part of whether the brand feels coherent, memorable, and trustworthy.
Rasmic's AI UI workflow is simple and useful: collect inspiration, turn it into a design system, generate tokens and components, tweak the system first, then build with AI.
Shashank Agarwal showed Andrew Warner how API.market runs with OpenClaw agents for PR, LinkedIn, seller outreach, finance, hiring, and chief-of-staff work. Here is the practical agent operating system behind it.
Andrew Warner and Matthew Berman break down AI agent loops: triggers, verifiable goals, LLM-as-judge loops, sub-agents, scheduled automations, token budgets, and reusable Loop Library templates.
Alex Finn walked through Hermes Agent's Reach Release: native iMessage, automatic background agents, Unreal MCP, desktop upgrades, profile builder, Skills Hub, smarter memory, and Telegram formatting.
AI search visibility is becoming measurable, but the useful business question is still ROI. Here is how I would separate vanity visibility from the signals that actually move revenue.
Google Search Console and Bing Webmaster Tools now offer first-party AI visibility reporting. Here is what each one can tell you, what they still miss, and what a small brand should actually measure.
A practical JQ AI SYSTEMS roundup of GitHub Trending developers, from Cole Murray and Matt Van Horn to Luis Novo, Jarrod Watts, Eric Buehler, Q00, rUv, and more.
Sakana Fugu and Fugu Ultra are not normal frontier models. They orchestrate multiple models through one API. Here is how they work, what the benchmarks mean, what it costs, and when builders should try it.
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.
An integrity graph is the layer that connects your brand facts, services, proof, and entity relationships into something AI systems can understand without guessing. Here is why that now matters for AI search visibility.
A practical JQ AI SYSTEMS roundup of this month's GitHub Trending repos: MoneyPrinterTurbo, Understand Anything, MarkItDown, CodeGraph, Agent-Reach, DeepSeek-Reasonix, and more.
AI search often expands one query into many sub-queries before it decides what to cite. Here is how to plan a service page around query fan-out instead of only one keyword.
A practical JQ AI SYSTEMS roundup of this week's GitHub Trending repos: codebase-memory-mcp, Agent-Reach, OpenMontage, SkillSpector, agent-skills, TimesFM, Flue, Penpot, Plane, and more.
Google's Preferred Sources and Highly Cited signals push in the same direction: the brands that win will be the ones worth citing first, not the ones publishing the most generic content.
A practical JQ AI SYSTEMS roundup inspired by David Blank: Framer 3.0 agents, BuildVision, Ploy, Palmier, shadcn, AI SDK, Prime Intellect, EmbedPDF, and the workflow-design stack behind useful AI products.
A practical JQ AI SYSTEMS weekly radar on Fable/Mythos access risk, GLM 5.2, Facebook AI tools, Midjourney Medical, Codex Record & Replay, Claude Design, Perplexity Brain, Adobe, Google Ad Manager, and AI adoption data.
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