The oldest computer taught us one thing: build machines that think ahead.

A dark factory is a plant that runs with the lights off, because nobody is standing on the floor. This is that, for software. You describe the product roughly, in your own words. A swarm of specialist AI agents debate and stress-test every requirement, then produce a complete documentation package — requirements, user flows and state machines, data model, architecture, API contracts, UX specification, a security assessment against the OWASP top ten, and a deployment plan that includes recovery.

Then everything stops and you read it. Nothing is built until you sign it off, because that is the cheapest moment in the project to change your mind. Once you have, the build works from the document you approved — database, backend and frontend, cross-checked against the specification rather than against somebody's memory of a meeting. It is tested end to end against a running stack, though no suite covers every scenario a real user will find, so production testing stays with you.

A complete operating platform for Destination Management Companies — itinerary building, supplier matching, pricing, invoicing, vouchers, payment reconciliation and a full double-entry accounting suite with VAT and multi-currency support. Atlas, the autonomous AI consultant, plans trips in natural language with 21 tools, guarded by an anti-hallucination fact layer that only states what it can verify. A consumer-facing storefront and an embeddable booking widget let operators sell directly from their own websites. What once required hours of consultant time now happens in minutes.

A unified, multi-product healthcare technology platform built for an ophthalmology practice, structured as a Turborepo monorepo where each product stands alone but plugs into a shared foundation. The ecosystem spans therapeutic audio delivery on web and native mobile, AI-powered clinical assessment with facial emotion and body language analysis, an AI content pipeline with a digital twin avatar, and an AI voice agent — all sharing one API, one database and one design system, with a mail campaign engine, course certification and a wellness-credits economy built in.

A complete AI-powered recruitment ecosystem connecting global talent with employers worldwide. The platform removes borders from recruitment through a WhatsApp-based AI agent that onboards candidates through natural conversation, feeding directly into an enterprise CRM with full pipeline management, Kanban workflows, two-tier AI candidate matching, commission tracking, invoicing, and an embedded AI assistant. Includes a client portal for companies to review submissions and provide real-time feedback.

A satirical Formula One race review, roughly two minutes long, produced twice a week through the season. Every episode it has made was produced without a single human intervention. Nobody writes it, nobody edits it, and nobody presses publish.

When the race finishes, the pipeline starts itself. It reads what actually happened that weekend, decides which rivalry is worth the two minutes, writes the jokes against a story bible that tracks every running gag and puts used ones on a cooldown, casts from a fixed company of 3D characters so the same faces return week after week, then renders, voices, scores and publishes the finished video. Getting an unattended pipeline to produce something actually worth watching took months, and it is still being refined.

We ran our business on Claude Code, and it kept getting in the way: limits we did not set, a harness we could not change, decisions made for us. So we built our own. ATC Coder starts from Pi, a small open-source agent that gives the model exactly four tools — read, write, edit and bash. Everything above that is ours.

Our repositories are agent-agnostic. Sixty shared skills, written once, work with Claude Code, Codex, or ATC. Any model plugs in at the provider level and can be switched mid-session. When a job is bigger than one agent, a coordinator spawns a crew in isolated git worktrees, and long jobs go to an always-on executor on our own server that opens a pull request when it is done.

Hold a key, speak, release. The words appear at your cursor in any application, cleaned up and formatted. We built Antikythera Flow to replace Wispr Flow, and it is the tool we use every day to write emails, messages and prompts.

The difference is where the work happens. By default, speech recognition and text cleanup run entirely on your own machine. No account, no network request, nothing leaves your computer. When you want more, you can switch the speech model or the text model to a cloud provider of your choice, independently, and switch back at any time.