Build the product
An MVP your first users can actually log into
One senior engineer directing a fleet of AI agents through architecture, build, integrations and QA, with senior product design on the interface. Not a theoretical roadmap: a real product, scoped to one must-have feature, on a fixed 30-day sprint.
Free 30-min call · A fixed 30-day sprint, not an open-ended retainer
Teams we ship for
logos à fournir : clients citables
The new AI software engineering
Coding changed. Engineers stopped being the bottleneck.
The bottleneck moved to orchestration. Claude Code is the brain, MCP plugs into your stack, and one senior engineer reviews every line the agents ship. See how we build, automate and ship on every engagement.
- 01Claude Codethe brain · subagents · MCP
- 02Anthropicmanaged agents · runtime
- 03CursorIDE pair-programming
- 04n8ncron · webhooks · glue
- 05Supabasedata · memory · retrieval
Why the slow build kills early-stage ideas.
The most common founder mistake we see is wanting the product flawless before anyone touches it. It drains runway and postpones the only thing that de-risks the business: real users using it.
Runway burned on guesses
An open-ended dev cycle means building features nobody has asked for yet. Every month of coding without a user in the loop is a month you cannot buy back before the next raise.
First-mover advantage lost
While a dashboard gets perfected for six months, a leaner competitor ships a rough version, reaches your users first and starts collecting the loyalty you were counting on. At this stage, speed is the actual moat.
Feedback that arrives too late
Every architecture and pricing decision made before launch is a guess. The longer the build runs, the more guesses pile up, and the heavier the codebase is when reality finally answers.
Built lean, built for the next stage.
We do not ship bloated software. Every MVP is scoped to validate your hypothesis and reach first revenue, nothing more.
A team building features nobody has asked for is burning runway on guesses. We name the single feature that solves your user's real problem and cut everything else from the scope: the fleet builds against that scope, the engineer keeps it from creeping.
The 30-day build, week by week
A fast launch still needs a plan. Here is the exact roadmap one engineer and the agent fleet run to take your idea from concept to a live product in 30 days.
Architecture and core scoping
Finalized feature set and database schema
The build sprint
Functional prototype with core logic wired
API integration and security
Payment gateways and third-party tools connected
QA testing and go-live
Public launch ready for your first users
The stack behind every product we ship
We do not reinvent the stack for every project. Every engagement runs on the same proven set of tools, swapped only where your systems require it.
Claude Code
The reasoning model behind agent decisions and tool calls
Anthropic
Managed agent runtime for long-running, autonomous tasks
MCP
The protocol that connects agents to your APIs and tools
Cursor
IDE pair-programming where the engineer reviews every diff
n8n
Workflow orchestration for cron jobs, webhooks and handoffs
Supabase
The data layer for agent memory, logs and private retrieval
Vercel
Deployment and hosting for agent-facing apps and dashboards
GitHub
Version control and review for every agent we ship
Everything runs in your accounts and your repositories. Self-hosted where data control matters. [Engagements précis à valider]
Get your questions answered
Get answers to common questions about our automation process, pricing, and results.
Yes, when the scope is disciplined. We build the smallest product that can validate the business, not a full roadmap, and the agent fleet handles the volume while we keep the scope from creeping.
See what your team
can hand to AI
A free 30-minute call. We map one workflow together and you leave with a plan you can use, with or without us. Meeting us at the AI Summit Barcelona on September 22? Grab your slot here.
Book a Free Strategy Call