Process

From idea to production — milestones you can see

Discovery locks the plan. Architecture removes guesswork. Sprints ship working software. Launch comes with a checklist — not a surprise.

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Four phases. One clear path.

Jump to any phase — or scroll the full story below.

01

Discovery

We understand your goals, users, workflows, constraints, and what success looks like for your product.

02

Architecture

We design the right approach — AI architecture, tech stack, APIs, cloud setup, and UI/UX, built around the AI product from the start, not bolted on after.

03

Development

We build production-ready software — AI systems, clean UI, solid backends, mobile apps, and integrations — with weekly progress.

04

Launch & Improve

We deploy, test, monitor, and iterate based on real usage so your product keeps getting better after launch.

011–2 weeks

Discovery

Before we design or code, we lock the problem, the MVP scope, and the outcomes that matter — so the rest of the build stays focused.

What we do

  • Stakeholder workshops on goals, buyers, and constraints
  • Map real workflows and success metrics
  • Prioritize an MVP that can ship and prove value
  • Flag technical, security, and delivery risks early

What you get

  • Problem & outcome brief
  • Prioritized feature list (in / out of scope)
  • Rough timeline and estimate range
  • Risks and assumptions document
021–3 weeks

Architecture

We turn discovery into a buildable plan: flows, stack, data model, and environments — so engineering starts with clarity, not guesswork.

What we do

  • UX structure and key user journeys
  • Tech stack, APIs, and data model choices
  • Cloud, security, and environment plan
  • AI or automation only where it moves the metric

What you get

  • Architecture sketch and stack recommendation
  • Wireframes or high-level UX flows
  • Phased delivery milestones
  • Environment and deployment outline
03Ongoing sprints

Development

We ship in short cycles with staging builds you can click. You see progress every week — not a big reveal months later.

What we do

  • Sprint-based build with working demos
  • Frontend, backend, mobile, and integrations as scoped
  • Code review, QA, and staging access
  • Security and performance basics baked in

What you get

  • Working software every sprint
  • Staging URL for continuous feedback
  • Progress updates and demo notes
  • Production-ready codebase as we go
04Launch + support

Launch & Improve

Go-live is not the finish line. We deploy carefully, watch real usage, fix fast, and plan the next iteration with your team.

What we do

  • Production deploy with checklist and rollback path
  • Monitoring, logs, and early bug response
  • Store / domain / release support when needed
  • Iteration plan from real usage and feedback

What you get

  • Live production release
  • Handoff docs and runbooks
  • Post-launch hypercare window
  • Optional retainer for ongoing improvement

How we collaborate

What it’s like to work with us

Transparent delivery — so you’re never waiting months to see progress.

01

Weekly visibility

Demos and written updates so you always know what’s shipping next.

02

Shared workspace

Figma, staging, and a clear board — feedback stays in one place.

03

Your time, protected

Typically 4–8 hours/week from your side during active build phases.

04

Clear ownership

You own product decisions; we own delivery quality and technical risk.

Engagement models

Pick the shape that fits

Project build

We own delivery end-to-end — from discovery through launch of your MVP or product.

  • Fixed scope or phased milestones
  • Dedicated delivery team
  • Best for new products & rebuilds

Team extension

Senior engineers who plug into your roadmap and work alongside your PM or tech lead.

  • Augment your existing team
  • Aligned to your stack & process
  • Best for scaling velocity

Launch support

Post-go-live care: monitoring, fixes, small features, and a clean handoff when you’re ready.

  • Hypercare after launch
  • Optional retainer
  • Best for stabilizing & iterating

Proof

Built with this process

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FAQ

Questions teams usually ask

How long before we start coding?+

Usually after a short discovery (about 1–2 weeks). If scope is already clear, we can move into architecture and build faster — we won’t invent workshops you don’t need.

Do you work fixed-price or time & materials?+

Both are possible. After discovery we can quote a fixed phase or give a T&M range with a weekly cap. We recommend the model that matches how clear the scope is.

Can you work with our existing codebase?+

Yes. Many projects start with an audit of what you already have — then we improve, extend, or modernize without a full rewrite unless it’s truly needed.

What do you need from our side?+

A decision-maker, access to domain knowledge, and timely feedback on demos. During build, plan for roughly 4–8 hours a week so momentum stays high.

Do you stay after launch?+

We include a hypercare window after go-live, then you can continue on a retainer or take a clean handoff with docs and runbooks for your team.

Where does AI fit in the process?+

Only where it moves a real metric — support cost, conversion, ops speed. We decide that in discovery/architecture, not as a bolted-on demo.

Ready to start with clarity?

Tell us the workflow or product goal — we’ll map the right first phase and a realistic path to launch.

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