AI Visibility Is a Brand Continuity Problem, Not Just SEO
A consistent logo is not enough. AI-mediated discovery exposes breaks between the website, social content, video, service language, and the facts a brand asks others to repeat.
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 781 posts across 63 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 (137), AI Agent Architecture (72), AI Business Ideas (41), and Open Source (41). 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.
A consistent logo is not enough. AI-mediated discovery exposes breaks between the website, social content, video, service language, and the facts a brand asks others to repeat.
Gary Explains runs Qwen3.8-27B locally on an RTX 5090 and tests a game, a protocol library, and a C interpreter. Here is what passed, what needed correction, and what the hardware result does not prove.
A practical Omarchy 4 guide to the Quickshell rewrite, keyboard-first workflow, agent integration, plugins, Arch updates, hardware fit, and safe evaluation.
Andrew Warner and Tim Hey review ten repositories for interface generation, product analytics, app connections, coding-agent process, context reduction, codebase mapping, discovery, AI search, and documentation.
AI-search impressions are not a score. Here is how to connect Google reporting to page expansion, proof upgrades, assisted conversions, and sensible weekly decisions.
Andrew Warner and Matt Pocock explain how Grill Me, specs, tickets, implementation, and review make coding-agent work portable and reliable.
Greg Isenberg's sponsored Claude Code workflow rebuilt with repo context, Plan Mode, tickets, preview, layered review, routines, worktrees, and permission tiers.
AI can summarize common knowledge cheaply. The defensible advantage is evidence from work you actually did: tests, decisions, screenshots, constraints, and measured outcomes.
AEO, GEO, and ASO create more acronym debt than advantage. Here is the practical clarity, proof, and distribution stack a small expert brand can control.
Andrew Warner and Erik Siu test Grok Bot's cloud computer, skills, routines, triggers, plugins, and handoffs. Here is how to deploy it with control.
Andrew Warner and Adam review ten trending repositories plus Investment Council and DAA. Here is what each project owns, what it replaces, and the maintenance or security boundary you inherit.
Matt Wolfe covers Grok Bot, faster agent models, Claude autonomy, AI provenance, open video, and accessibility. Here is the source-checked builder guide.
Andrew Warner and Corey Ganim review VoiceOS, Grok Bot, OmniWork, Scrimba Explain, Annotate, creator-built apps, and an AI operations service. The common thread is better interfaces around agents.
Matt Wolfe built a 3D roguelite with Claude Code, then refined it with Codex. The useful lesson is where AI compressed implementation and where design, testing, balance, and judgment still dominated.
That Fit Friend recovered from a severe search decline by improving product-review UX, proving first-hand testing, reducing ad friction, diversifying demand, and building a product-led brand.
Corey Ganim demonstrates a Hyperagent workflow that finds overlooked local businesses, builds evidence-based preview sites, and tracks opportunities. Here is the controlled version worth testing.
Allie K. Miller's 34-agent system rebuilt as a practical guide to goals, context, fixed risk tiers, watchdogs, model routing, and reusable factories.
AI Crawl Control, Pay Per Crawl, x402, the Monetization Gateway, and three service-first businesses for an internet where agents buy access.
Google now carries users from AI Overviews into AI Mode. That makes shallow pages even weaker, because the second question is often where the shortlist changes.
Simon Sinek's five rules become a practical leadership system for recovery, agency, mutual aid, listening, accountability, humility, empathy, and meaningful work.
Tristan Harris connects AI race incentives, agent misalignment, labor displacement, and the intelligence curse. Here is what the evidence supports.
Alexandr Wang explains Scale AI's pivot, conviction before consensus, Meta's frontier-lab rebuild, cheap models, and agent feedback loops.
Science CEO Max Hodak explains why procurement, experiment costing, hiring, feedback, iteration, and founder judgment form a startup operating system.
Elon Musk predicts superhuman AI within five years and optional work within ten. A source-checked map of his claims on AI, China, jobs, governance, and Europe.
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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