How we work

AI accelerates what’s possible. Engineering makes it dependable.

How we use AI to move fast, and the reviews that make what we ship safe to rely on.

  1. Discover
  2. Prototype
  3. Build
  4. Harden
  5. Launch and improve

Our process

From first call to long after launch

Step 1

Discover

What happens. We map the problem, the users, and the constraints.

Who is involved. You and an engineer.

What you get. A written scope and a fixed price for phase one.

Typical duration. The first conversation is usually 30 minutes. The rest of the time is set in the written scope.

Step 2

Prototype

What happens. AI tools get something clickable in front of users fast.

Who is involved. AI tools draft it. Engineers decide what is worth testing.

What you get. A working prototype to test.

Typical duration. The written scope sets the time.

Step 3

Build

What happens. AI-assisted development, with a senior engineer reviewing every change.

Who is involved. Engineers, using AI tools, with senior review on every change.

What you get. Weekly releases you can try.

Typical duration. A focused MVP typically takes weeks, not months. The quote includes the timeline.

Step 4

Harden

What happens. Security, data protection, tests, error handling, and performance.

Who is involved. Senior engineers.

What you get. A production-readiness report.

Typical duration. Hardening an existing prototype is often 2–6 weeks. Any other scope gets its own timeline in the quote.

Step 5

Launch and improve

What happens. Deployment, monitoring, then ongoing improvement.

Who is involved. The engineering team. After launch you can run the product yourself or keep us on.

What you get. A product you can keep running.

Typical duration. Launch timing is in the written scope. Later improvement continues only under an ongoing agreement.

AI in our delivery

Where AI helps us, and where people decide

AI does

  • Drafting code
  • Writing tests
  • Reviewing for known issues
  • Documentation

Engineers decide

  • Architecture
  • Security
  • Data
  • What ships

AI tools are used under business terms that do not train on client code. Specific tool settings are not published on this page.

Quality gates

What every release passes

Communication

How we keep you informed

Weekly demo

You see what changed.

Shared board

The work in progress stays visible to you.

Named lead

One person is responsible for the engagement.

Response time

An engineer replies within one working day.

Ways to work together

Three ways to engage

ComparisonFixed-price projectContinuous Product EngineeringDedicated team
Best forAn audit, MVP, pilot, or build with a defined scope.A product that needs to keep improving after launch.A longer roadmap that needs a senior squad with your team.
CommitmentOne defined phase.An ongoing agreement after launch.Engineers embedded with you for that roadmap. The first step is still a defined phase.
How you payA fixed price for that phase, quoted after scoping.A monthly retainer or a defined ongoing agreement, quoted after scoping.The first step is fixed-price and quoted after scoping.

Ownership

You own what we build

Code, repositories, accounts, documentation, and the handover belong to you. Cloud accounts and app-store listings stay in your name.

AI tools are used under business terms that do not train on client code.

Next step

Tell us what you're building.

A 30-minute call with an engineer, not a salesperson.