Thinking out loud.
Notes on building with AI, creative technology, and the things we're figuring out as we go.
How to Rank in AI Overviews: An Implementer's Playbook (2026)
Three independent data sources point the same direction: Google's own May 2026 AI Search guide, Cyrus Shepard's Zyppy 23-factor analysis, and 60 days of our own field data. Five things that actually work in AI Overview citation — and four that don't move the needle despite what most guides say.
What is an AI agency? The five types decoded (2026)
An AI agency in 2026 isn't one thing — it's five different businesses sharing a label, each with different pricing, different failure modes, and different ideal customers. A practitioner's category taxonomy, with names named.
What Is Claude Cowork? An Implementer's Field Guide (2026)
Claude Cowork explained by an agency that runs it in production — what it actually is, how it works, the seven real use cases, the honest limits, and how it differs from Claude Code, Claude chat, and the API.
AI marketing agency vs traditional agency: the ROI comparison nobody publishes with real numbers
The real 2026 cost comparison — AI marketing agency vs traditional agency — with the five cost lines the headlines never show, where each model actually wins, and the third model that beats both. An implementer's ROI breakdown from an agency that publishes its own rate card.
Claude Cowork Pricing in 2026: What It Actually Costs (From an Agency That Runs It Daily)
Claude Cowork pricing decoded by an agency that pays for it and runs it daily — the three plans, the rate-limit reality the vendor and squatter pages skip, an honest take on which tier you actually need, and how the June 2026 billing change reframes build-vs-buy.
AI Overview citation: 30-day field report, Part 2 — Google says FAQ schema isn't required. We keep getting cited.
Three days after Google published its first official AI Search optimization guide, our pillar on what a creative technology agency does showed its strongest AI Overview citation density yet — five inline cites across six sections, with no re-crawl in 24 days. The schema isn't doing the work. Here's what is, and what we're changing in the format-pattern operating system.
Claude Cowork for law firms: an implementer's take on the legal plugin (2026)
A practitioner's take on Claude Cowork's legal plugin for small and mid-market law firms. The five use cases that work in a 5-attorney firm, the three predictable failure modes, an honest comparison with Spellbook and Harvey, the will-AI-replace-lawyers elephant, and a 90-day deployment plan that satisfies state-bar AI rules.
AI Due Diligence with Claude Cowork in 2026: An Implementer's Field Guide for M&A and PE Work
A practitioner's take on AI for M&A and PE due diligence in 2026. The four sub-workflows, the May 12 Claude Cowork Corporate Legal plugin treatment, honest comparisons with Thomson Reuters CoCounsel and Harvey, and a build-vs-buy framework for a 3-to-5-person M&A or PE team.
The five-layer framework for business systems
Every system we build follows the same architecture. Here's why layer five is the only one that matters.
AI agency vs traditional agency: why the comparison is wrong
Every "AI agency vs traditional agency" comparison frames it as a choice between speed and creativity. The real question is whether your agency builds systems that compound — or deliverables that depreciate.
AI Automation ROI: What to Realistically Expect in 2026
The real ROI of AI automation isn't the number your vendor quoted. It's what's left after implementation cost, change management, and the things automation quietly breaks. Here's what the 2026 data actually says — and what we've seen from the inside.
How three of our pillars broke into AI Overview citation in 30 days (a field report)
In thirty days, three of our ten target queries for Answer Engine Optimization flipped from zero citations to AI Overview citation. Here's exactly what shipped, what indexed, what got cited, and the format pattern we extracted — including how the cadence runs and the human-versus-Claude division of labor that produced the work.
How much does a creative technology agency cost in 2026? (And why everyone else is vague about it)
The real 2026 price tag for a creative technology agency — written by one. Project, retainer, and sprint rates with actual numbers, what's inside each tier, and how the category compares to traditional creative and AI agencies.
AI for wealth management: what actually works in 2026 (an implementer's field report)
A practitioner's field report on AI for RIAs and financial advisors in 2026. Five use cases that work, four that don't, the SEC and FINRA examination focus, the Apoorva Mehta autonomous-agent hedge fund as a frame for the asymmetry traditional firms face, and a build-vs-buy framework for a 5-to-25 advisor firm.
Claude Cowork vs Claude Code: An Honest Practitioner's Build-vs-Buy Decision (2026)
Claude Cowork is the version of Claude that runs your work for you. Claude Code is the version that lets you build software. Here's the honest framework — with real numbers from an agency running both, written so a non-developer can actually use it.
AI receptionist for small business in 2026: off-the-shelf vs custom (vs keeping your human)
Three paths, not two. Most small businesses should buy off-the-shelf. Some shouldn't use AI at all and should keep their human receptionist with workflow automation. Six conditions justify a fully custom build. The honest decision framework, with real costs and real pricing.
AI for Accountants: What Actually Works in 2026 (Implementer's Field Report)
"AI for accountants" in 2026 is not one product — it's five distinct categories doing five different jobs. Tooling for a 10-person firm runs $300-$1,500 per month. A custom agent build runs $15K-$80K and 60-90 days. The bigger story isn't tools — it's what AI is doing to the billable-hour pricing model. An implementation services firm's honest field report.
Stop hiding your pricing
If your ideal client can't afford you, you want them to know that before the call, not during it.
We rebuilt a law firm's entire intake in 3 weeks
A build log: decisions, dead ends, and the system that emerged.
5 real challenges small businesses hit with automation (2026)
The five problems that actually break small-business automation in 2026 — tool sprawl, no system of record, automating chaos, AI review overhead, and integration brittleness. Honest field notes from builders.
How we build: the Automaton stack (and why it's different from an "AI agent stack")
The exact tools, layers, and trade-offs behind how one creative technology agency ships client work in 2026 — including the client portal we built on our own stack and where Claude Managed Agents fit next. Not an AI agent tutorial.
Why your AI chatbot sounds like everyone else's
The problem isn't the model — it's that nobody bothered to give it a real voice.
What a creative technology agency actually does
A creative technology agency builds intelligent systems — AI agents, automated content, integrated revenue operations — where creative, technical, and strategic thinking happen simultaneously. Here's what the work actually looks like from inside one.
The creative technologist is the new agency
The traditional agency pipeline is collapsing. One person with taste, judgment, and AI tools now delivers what used to require a team of fifteen.
Claude as a CMS: how we manage websites through conversation
We replaced WordPress with Claude. No dashboard, no admin panel — just conversation. And the teams using it aren't developers.