Agentation
for studios & dev shops

AI coding for agencies, without losing control.

Your clients want it faster and cheaper, and AI lets you say yes. But the moment you hand over code nobody on your team actually read, you've sold a liability with your logo on it. Speed that creates a maintenance nightmare in ninety days isn't a margin win — it's a reputation bill that comes due after the invoice clears.

the agency trap

Vibe coding is great for the pitch, lethal for the handover.

Generating an app by describing it to an AI — vibe coding — is a phenomenal way to win a deal. You demo something that looks done in an afternoon. The problem is what you deliver. Client codebases built on momentum instead of structure ship with hard-coded secrets, missing auth, 15-20 dependencies nobody evaluated, and abstractions that 'felt right' at 11pm. It looks finished on the surface and fails the first real security scan or the first feature change. On your own product that's your debt to eat. On a client's, it's a relationship you torch — and an agency lives or dies on the next referral.

  • Code nobody read is code nobody can support when the client calls.
  • 'It passed the demo' and 'it survives a year of changes' are different products.
  • Hidden dependencies and unscanned secrets become the client's incident — billed back to your name.
the real bottleneck

Scaling AI delivery is a coordination problem, not a typing problem.

The model can already write the feature in minutes. What breaks an agency running ten client accounts isn't generation speed — it's coordination: agents that quietly change scope mid-task, long-lived branches that never converge, and review work that piles up faster than humans can read it. Throwing one big AI session at a client project gives you progress without convergence: motion, no shippable result. The agencies that win don't generate faster; they impose a structure where work is defined narrowly, executed in lanes, and verified before it ever reaches the client's production.

  • Planners define crisp tasks; workers execute one responsibility, can't drift scope.
  • Every agent output is a reviewable unit gated before merge — not a mystery branch.
  • Quality safeguards are automated, so headcount isn't your throughput ceiling.
the method

The Digital Native Method: intent in, verified delivery out.

Here's the model that lets you go fast and still stand behind the handover. A Product Owner (you, or the client) describes the intended outcome on the live product — this flow is broken, make it feel faster, add this. A Tech Lead encodes the rules once: the client's architecture, conventions, security posture, accessibility bar. Then AI agents implement inside that structure, and deterministic gates — lint, types, tests, security — run on every change before anything ships. Nothing reaches the client's production unless it's green. You sell the speed of AI with the discipline of a senior team, because the discipline is encoded, not improvised per project.

  • Encode each client's standards once; every agent boots inside them.
  • Gates run before prod: green or it doesn't land in the client's repo.
  • Repeatable per account — onboarding a new client is configuring the structure, not retraining people.
the software

Agentation is the tool that makes the method real on client work.

A method on a slide doesn't survive contact with ten accounts and a deadline. You need software that runs it. Agentation is that software: you point at the client's live product, describe the result, and a per-project Lead Agent dispatches workers in isolated git worktrees, reviews their diffs, and only moves a task to Done once the gates pass. Everything ships through the client's own GitHub, on your existing AI plan. So 'we didn't hand-read every line' stops meaning 'nobody did' — it means a structure verified every line, on every account, every time, instead of a tired senior dev sometimes.

  • One Lead Agent per client project — review and merge discipline, automated.
  • Workers isolated in worktrees; the Lead gates diffs before they're Done.
  • Audit trail and conventional commits in the client's GitHub — a clean handover, not a black box.
cocorico

A French tool — sovereignty where it's actually winnable.

Agentation is built by a French team, and that matters for the clients who ask 'where does our project live.' Nobody is sovereign over the frontier models — Claude, GPT — and pretending otherwise is theatre. But the models alone barely ship anything; the leverage is in the tooling that orchestrates them, and that you can own. Agentation is hosted in the EU (Hetzner, Germany), data sits in the EU (Supabase), your client's code stays in your client's GitHub, and the whole thing is built GDPR-first. You give clients the speed of the best models with a control plane that answers to European law.

  • Built by a French team — EU jurisdiction, not a US data round-trip.
  • Sovereign on the tooling, honest about the models — the orchestration is where the leverage lives.
  • EU hosting (Hetzner), EU data (Supabase), client code in client GitHub, GDPR by default.
FAQ
Can we deliver AI-built software to clients without it becoming a maintenance nightmare?

Yes, if the AI doesn't work freehand. The nightmare comes from vibe coding with nothing watching it — brittle structure, unscanned secrets, dependencies nobody chose. Agentation makes agents work inside a Tech Lead's encoded conventions and deterministic gates (lint, types, tests, security), so what you hand over is governed code with an audit trail, not unreviewable sprawl.

Does the client's code touch your servers?

No. Everything ships through the client's own GitHub, on your existing AI plan. Agentation orchestrates the work; it doesn't take custody of the codebase. For agencies that's the whole point — the deliverable lives where the client expects it, with conventional commits and a clean history.

How is this different from our developers just using Copilot or Cursor on client projects?

Those are autocomplete and chat for one developer — the human is still the bottleneck and the only safety net. Agentation is a delivery structure: a Lead Agent defines tasks, workers execute in isolated worktrees, and automatic gates verify every change before it merges. You scale across accounts because the review discipline is encoded, not dependent on which senior dev had time that week.

We run many client accounts. Does it scale across projects?

That's the design. Each project gets its own Lead Agent and its own encoded standards, so onboarding a new client is configuring the structure rather than retraining staff. The coordination — narrow tasks, gated merges, no scope drift — is what lets one agency run many accounts without quality collapsing as you add work.

Where is our data hosted, and is it GDPR-compliant?

Agentation is built by a French team and hosted in the EU: compute on Hetzner in Germany, data in the EU via Supabase, and your client's code stays in your client's GitHub. It's GDPR-first by design. You can't be sovereign over the underlying models, but you can be sovereign over the tooling that orchestrates them — and that's where the real control sits.

Ship client work at AI speed — with a structure you can stand behind.

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