Less repetitive work.
A system your team owns.

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.

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.

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.

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.

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.

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.

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 242 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. Scope is deliberately narrow — I take on the builds I can personally lead, with a small senior team on delivery.