Our Process
A spec-driven loop, accelerated by AI.
We help your team move from idea to working product in small, testable steps, with clear decisions, visible progress, and senior engineering judgment.
How a build moves
Six phases run as a loop, not a one-way line. Each release feeds the next:
1Understand
Goals, users, constraints and success metrics. We align on the problem before reaching for a solution.
2Shape
Architecture, specs and contracts, and AI use-case mapping. The important decisions are made before code is written.
3Prototype
A testable slice, fast, to validate UX, feasibility and the AI use case before committing real budget.
4Build
AI-accelerated implementation behind quality gates: lint, type-check, tests and human review on every change.
5Launch
App-store readiness, release, analytics and monitoring, prepared for release with the right quality gates in place.
6Improve
Evals, observability and iteration. Learnings feed back into specs and prompts; new languages at much lower marginal cost.
↻ Evals & observability feed learnings back into specs and prompts.
AI speeds up the work. Engineering discipline keeps it safe.
We use AI throughout the build process, from prototyping and implementation to refactoring and documentation. But every production decision stays human-owned, reviewed, tested and maintainable. This is the opposite of vibe coding.
Architecture is decided by people before code is written; every pull request is reviewed to the same standard as any shipped app. More on AI-assisted engineering.
What you get
- Working increments, something real at the end of every phase, not a big-bang reveal.
- A codebase you own, standard, documented and maintainable by any team. No lock-in; the AI tooling is an accelerator, not a dependency.
- Quality by default, tests, type-checks and AI-assisted CI gating every change.
- Multilingual by default, additional languages at much lower marginal cost, QA-validated.
- Privacy-respecting, EU-hostable, with zero-retention model options when customer data is involved.
- Senior accountability, experienced engineers own the architecture and review every release.
Ways to work together
Most engagements start small and grow with confidence. Each one produces something concrete you can act on.
Discovery sprint
→ A build-ready plan
Scope, architecture, an AI feasibility review and a cost/timeline estimate. Best when the path is still uncertain.
Discovery sprint →Prototype sprint
→ A testable version
A clickable or working slice that proves the core product value and the AI use case with real users.
Prototype sprint →MVP support
→ A first shippable product
A focused first version, built AI-first. We help your team get the core product ready to ship.
MVP support →Product partner
→ Ongoing concept, architecture & delivery support
A continuing partnership: ongoing shaping, prototyping, architecture and implementation support alongside your team, release after release.
Product partner →