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.
AEO is not a separate cheat code. It is strong SEO, clearer answers, better page structure, and stronger proof that your brand deserves to be cited by AI search.
A practical framework for turning repeatable prompts into installable AI skills with folders, metadata, assets, install scripts, release notes, and review discipline.
AI deployment services are becoming the missing layer between model access and real business impact: workflow mapping, data, tools, controls, training, and implementation.
Small business AI automation is getting more specific: instead of vague chatbot experiments, the useful work is moving into repeatable workflows like CRM cleanup, reports, proposals, inbox triage, and client follow-up.
Google just launched Search profiles for publishers and creators. Here is why this matters for expert-led brands like João Queirós, and what it signals about identity in AI-mediated discovery.
A recent SEO study says almost 90% of brands have zero AI search mentions. Here is why that happens, what most sites are missing, and how a small brand should fix it.
Google is testing new Search Console controls and insights for generative AI Search features. Here is what small brands should understand before opting out of AI visibility.
Google says AI Mode has passed 1 billion monthly active users. Here is what that means for small brands, what changes first, and what to do before the hype turns into noise.
A practical JQ AI SYSTEMS roundup of this week's top GitHub AI repos suggested by The Next New Thing AI: OpenHuman, CodeGraph, AgentMemory, CloakBrowser, RuView, 12-Factor Agents, and more.
Andrej Karpathy joining Anthropic is a signal that the next AI advantage is not just the model, but the context, memory, workflows, and research loops around it.
Gemini Omni brings Gemini intelligence to AI video generation and editing. Here is what it means for creators, content systems, and small business workflows.
Codex, Claude Code, and Hermes now share a /goal pattern: durable objectives, evaluators, stopping conditions, and safer long-running agent work.
Hermes /goal and Codex goal-following turn keep-going into a durable objective with a stopping condition. How to set them up and keep autonomy under control.
A practical JQ AI SYSTEMS roundup of GitHub AI repos suggested by The Next New Thing AI: Anthropic financial services agents, CloakBrowser, UI-TARS, CodeWhale, AgentMemory, 9router, AI-Trader, and more.
Finance agents show how back-office AI should work: rules, source data, exceptions, review standards, clear outputs, and humans approving risky steps.
AI deployment is where AI starts becoming useful: choosing repeatable workflows, connecting models to data and tools, adding controls, and getting teams to use the system.
AI agents need more than better prompts. Learn the lightweight control plane small teams can use for identity, permissions, logs, review, ownership, and shutdown.
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.
Hermes Agent is powerful, but running an autonomous AI agent on a remote server raises real questions about safety, isolation, and cost. Here is exactly how I am setting mine up on a Hetzner CPX22, what Docker does to contain it, and what risks remain.
Hermes Agent with ChatGPT 5.5 as its brain: an open-source agent that builds its own skills, schedules tasks, and runs unattended. Why I am adopting the stack.
Codex is now a desktop super app with a built-in browser, annotation mode, and computer use. Claude Code is still a terminal-first local agent that writes cleaner code. Here is an honest comparison from someone who builds on both.
OpenAI GPT 5.5 review: 1M context, 82.7% Terminal-Bench, 85% ARC-AGI-2. What the benchmarks say, where Opus 4.7 still leads, and what it means if you build.
ELO scores, pricing and speed for 12 image models: Grok Imagine, Midjourney v7, Flux 2 Pro, GPT Image 2 and Nano Banana, plus category winners by use case.
OpenAI launched GPT Image 2 on 21 April 2026. 99% text accuracy, native reasoning, up to 4K resolution, and full API access. Here is what actually changed, what it costs, and what it means if you build with AI.
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