How we work

From idea to shipped, in weeks.

A focused process built to get real software in front of real users fast — without skipping the engineering that makes it last.

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4 phases 2–4 week pilots Clean handover

Phases

Four phases. One team the whole way through.

Each phase has its own activities and defined outputs. Nothing moves forward without them.

Phase 01

Discover

1–2 weeks

We map the problem, the users, your data, and where the leverage actually is. For AI work, this is also where we run feasibility and define how we'll measure success. You leave this phase with a clear scope and a defined outcome.

Activities: Stakeholder interviews & user research; Data + system audit; Feasibility & eval planning (for AI); Fixed-scope proposal

Outputs: Scope document with success metrics; Timeline & fixed-price plan

Phase 02

Design

1–3 weeks

Architecture and interface, together. We design the system (data model, APIs, infra) and the experience (flows, accessible UI, design system) — prototyped and pressure-tested before we commit to building.

Activities: System architecture + data model; UX flows + accessible UI; Design system & tokens; Interactive prototype + user validation

Outputs: Validated designs in Figma; Architecture doc + build plan

Phase 03

Build

2–8 weeks

Design, engineering, and AI in tight, evaluated loops. We ship in vertical slices behind CI/CD, with tests, evals, and observability going in as we go — not bolted on at the end.

Activities: Vertical-slice implementation; CI/CD, tests, and evals in place from commit 1; Weekly demos on your staging; Iterative refinement against success metrics

Outputs: Production-grade software, shipped incrementally; Passing eval suite + observability dashboards

Phase 04

Ship & grow

Ongoing

We deploy, monitor, and measure — then improve. Core Web Vitals, analytics, and (where relevant) SEO/AEO so the product doesn't just launch, it compounds. Clean ownership handover: code, infra, and docs are yours.

Activities: Production deploy + monitoring; Core Web Vitals + analytics wiring; SEO/AEO where the product needs discovery; Docs, runbooks, ownership handover

Outputs: Launched, observable, measured product; Complete handover — your GitHub, your infra

Production-grade

What "production-grade" means here.

Evaluations

Every AI feature has an eval suite. Measured accuracy, not vibes.

Observability

Tracing + logs + metrics so you can see what's happening in prod.

CI/CD

Automated tests + deploys from the first commit. No manual releases.

Accessibility

WCAG 2.2 AA on every screen. Keyboard-navigable, screen-reader-safe.

Core Web Vitals

Performance budgets enforced — LCP, CLS, INP all in the green.

Clean handover

Your GitHub. Your infra. Full docs and runbooks. No lock-in.

Engagement models

Ways to start.

Pilot (2–4 weeks, fixed scope)

A defined outcome, low risk, real shipped software.

Product build (project)

End-to-end delivery with milestones.

Embedded team (retainer)

An ongoing senior pod inside your team.

Advisory

AI readiness & architecture before you commit to a build.

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Common questions

The short answers.

What clients usually ask before a first call.

How long does a pilot usually take?

Most pilots ship in 2–4 weeks. Longer only when the discovery reveals real complexity we agree is worth solving before shipping the pilot.

Who owns the code and infrastructure?

You do — completely. We build on your GitHub, your cloud accounts, your DNS. Every commit and secret is yours from day one.

How is pricing structured?

Fixed-scope pilots have a fixed price. Product builds are milestone-based. Embedded teams are a monthly retainer. Advisory is time-boxed. No surprise invoices.

Who does the actual work?

The senior people you meet in discovery are the people who build. No bait-and-switch to juniors mid-engagement.

Which tools and models do you use?

Modern stack: Next.js / React / TypeScript on the frontend, Node on the backend, React Native or Flutter for mobile. For AI we're model-agnostic — Anthropic Claude, OpenAI, or open-source per job.

Can we start with just one capability?

Yes. Most engagements start with one capability (design, engineering, AI, or growth). The value of one team is that the others can join if the project grows — without a new vendor onboarding.

Available · Booking Q3 discovery slots

Let's build your product.

Tell us what you're working on. We'll show you the fastest credible path to shipping it — even if that's smaller than you expected.

hello@sparzan.com

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