I built the AI agents that run this business. I'll build yours.

1. 01

   Claude skills — a workflow your AI runs the same way every time.

   A skill packages your process — instructions, references, scripts, quality gates — so Claude executes it reliably instead of improvising from a prompt. My flagship skill runs a 14-phase research-and-QA pipeline that writes this site's blog. Skills fit repeatable knowledge work: research, content, reporting, review.

2. 02

   AI agents & automations — systems that watch, decide and deliver.

   An agent monitors sources, makes bounded decisions, calls tools and hands you a finished output — a scored lead list, an enriched report, a filed alert — with human approval gates where the stakes require them. Not a chatbot: a worker with a job description and a paper trail.

3. 03

   Custom AI tools — when the workflow needs an interface.

   Calculators that qualify leads on your site, white-label scanners your agency resells, internal dashboards your team actually opens. Purpose-built, small surface area, shipped into production — not a prototype that dies in a demo.

You don't need to choose the format before we talk — bring the workflow, I'll recommend the build. Background reading: what an AI agent is, agentic AI and Claude Code. This page is the done-for-you service.

1. 01

   Your team spends hours a week copying data between tools, re-researching the same questions, or formatting the same report — work a system should do.

2. 02

   You tried ChatGPT and a Zapier flow. It worked until the task needed judgment — then it broke, hallucinated, or quietly produced garbage nobody checked.

3. 03

   The agencies quoting you five figures for 'AI transformation' can't show you one system of their own running in production.

One cause: automation shipped without engineering discipline— no test cases, no approval gates, no one accountable when the output is wrong. That's the part I actually sell.

• 01What's the difference between an AI agent, an automation, and a Claude skill?

  An automation is a fixed pipeline: trigger, steps, output — great until a step needs judgment. An AI agent adds bounded decision-making: it can read, evaluate, choose tools and escalate to a human. A Claude skill is a packaged workflow — instructions, references, scripts and quality gates — that makes Claude run your process the same way every time instead of improvising. Most real builds combine all three, and you don't need to pick the format before we talk: the workflow determines the build.
• 02What does an AI automation agency actually do?

  The honest version: take one expensive, repetitive workflow, decide whether it should be automated at all, then build the smallest system that does it reliably — with test cases, human approval gates and documentation. The dishonest version sells a chatbot demo and a retainer. This page is the honest version, run by one operator whose own systems are public: the blog this site publishes is written by one of them.
• 03How much does it cost?

  The intro call is free; every build after it is quoted as a fixed price — no hourly billing, no open-ended retainer to get a number. Cost tracks the workflow's complexity: integrations, judgment points, and how much QA the stakes demand. The Blueprint stage exists precisely so you get a fixed quote and a build-or-don't verdict before committing to anything bigger.
• 04Can't I just use ChatGPT and Zapier myself?

  For simple, deterministic flows — yes, and I'll tell you so on the call. The gap shows up when a task needs judgment, when an output touches customers or a database, or when 'usually works' isn't good enough. Production systems need test cases, approval gates, error handling and docs. That engineering layer is what you're buying; the API calls are the cheap part.
• 05Who owns the code, prompts and data?

  You do — all of it. Code, skills, prompts, documentation, and every dataset the system produces. Builds run in your accounts wherever practical, so API keys, costs and data stay under your control. If we stop working together, everything keeps running and nothing is held hostage.
• 06Will an agent run unsupervised?

  Only where the stakes allow it. Anything that touches a customer, spends money or writes to a system of record gets a human approval gate by default — you approve, the system executes. Full autonomy is earned per-workflow as trust builds, not promised on a sales call. Anyone selling you a fully autonomous digital employee on day one is selling the demo, not the system.
• 07Why you and not a dev shop?

  Proof of work. I built geotoolbox.ai solo — scan engine, tracker, billing, admin — and the AI systems that run it: a 14-phase skill that has written all 164 of its published articles, plus the QA pipeline that reviews them. Dev shops show you a portfolio of other people's logos; I can show you the systems, running, on the site you're reading. The trade-off, stated plainly: I'm one operator with limited build slots, so scope is deliberately narrow and there's sometimes a wait.