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.
Riley Brown builds a Jarvis-style desktop agent in Cursor with GPT-Realtime-2, Exa search, computer control, Mermaid artifacts, and voice-edited thumbnails. Here is the architecture, setup, cost, and safer permission model.
Dan Shipper shows how he uses GPT-5.6 and Codex as a work operating system. Here is the practical architecture behind Tend, inbox cards, pulse threads, Proof, goals, skills, and human approval.
Vaibhav Sisinty and OpenAI's Wulfie Bain use GPT-5.6, ChatGPT Work, and Codex to research, build, test, automate, and publish a startup workflow.
Greg Isenberg and Nick Vasilescu use Grok 4.5, Hermes, Orgo, memory, connectors, and review gates to move from startup research to a landing page and outreach draft in one working session.
OpenAI introduced ChatGPT Work, an agentic work surface for apps, files, local projects, browser use, Computer Use, Sites, Appshots, scheduled tasks, and GPT-5.6-powered deliverables.
Nate Herk gave Claude Fable 5 one goal prompt and got a product, landing page, videos, business plan, market research, and brand package. Here is the practical builder lesson: goal design, subagents, verification, and human validation.
Nate Herk shows how to turn YouTube transcripts, PDFs, URLs, meetings, and notes into a cross-linked LLM wiki that Claude Code, Fable 5, Codex, Hermes, and other agents can reason over.
Riley Brown connects Claude Fable 5 returning, OpenAI GPT-5.6 entering limited preview, Sonnet 5, Cursor for iOS, model rerouting, and the shift from selling apps to selling agents. Here is the practical builder read.
Ras Mic breaks down how he thinks about system design when building AI-generated apps. Here is the practical JQ AI SYSTEMS version: monorepos, client-server boundaries, durable workflows, service isolation, observability, auth, payments, and agent-friendly infrastructure.
Ras Mic and The Calum Johnson Show walk through the fastest practical way to use AI agents in business and content: connect the right tools, coach one useful run, turn it into a skill, and automate the repeat.
Hermes Mixture of Agents for builders: several reference models, one aggregator, higher cost, better review, and when the routing actually pays for itself.
A practical comparison of cloud GPUs, hosted AI APIs, and home AI hardware for local models: cost, privacy, latency, maintenance, electricity, and when a hybrid setup wins.
A practical local AI hardware guide with prices and buy links for Ollama, LM Studio, Qwen, Gemma, Llama, DeepSeek, GLM, Mac mini, Mac Studio, RTX PCs, DGX Spark, and cloud GPUs.
Austin Marchese breaks down the B.U.I.L.D. framework for making Claude Code improve over time. Here is the practical version: knowledge base, bulk ingest, data inflow, review loops, and routines without system drift.
Wes Roth walks through Hermes Agent with Stripe payments, Nous Portal, OpenAI Codex, NVIDIA NemoClaw, and Nemotron 3 Ultra. Here is the practical builder version: agents can run business workflows, but money movement needs hard approval gates.
A practical local AI starter guide inspired by Alex Finn: what local AI is, why it matters, what hardware and software to start with, and which private workflows are worth testing first.
Seven Hermes Agent use cases that hold up in practice: computer control, competitor research, memory, Linear and Notion handoffs, Slack, crons, and skills.
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.
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.
SpaceX reportedly buying Cursor is less about one code editor and more about the race to own the general agent workspace. Here is what builders should watch, test, and migrate carefully.
The Fable 5 access pause is a reminder that cloud AI is rented intelligence. Local models give builders a private, offline, resilient fallback layer for everyday work.
Codex Sites, Cursor Canvases, DeepSeek V4 pricing, Poke in Apple Messages, Microsoft Scout, and Hermes Desktop point to the same shift: agent work is moving into super-apps and shareable work surfaces.
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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