How We Work

How AI software development works — gated at every stage.

Our fleet of AI agents does the building; humans supervise and every stage passes a gate before it moves on. Here is the delivery process end to end — discovery, build, verification, and launch — and how we keep it honest.

The operating model

AI-native, but never ungoverned.

Most agencies bolt AI onto a human workflow. We invert it: AI agents are the default workforce and a human founder is the accountable exception layer. That only works because nothing ships without clearing a gate.

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products built this way
Discovery → Build → Verify → Ship

Four stages, four gates.

Each stage has an owner, a deliverable, and a gate it must clear before the next stage begins. Nothing advances on a promise.

01 · Discovery

Brief to verified spec

A business analyst turns your intent into requirements; an SRS writer turns those into a spec; a verifier checks it against live code and design tokens.

  • Requirements & user stories
  • Software Requirements Spec (SRS)
  • Architecture & stack decision
Gate: SRS verified → build
02 · Build & Gate

Production-complete code

Developer agents generate frontend, backend, APIs, and tests. An anti-stub guard rejects any output that is scaffolding, a TODO, or mock data — it is retried, not shipped.

  • Token-driven UI (no hardcoded styling)
  • Backend, APIs & data access
  • Unit & integration tests
Gate: no-stub guard passes
03 · Verify

Ship / no-ship gates

A QA engineer sequences four checks — spec conformance, security audit, onboarding readiness, and root-cause debug — with a circuit breaker that escalates to a human on repeated failure.

  • Spec & acceptance conformance
  • Security & secrets audit
  • Onboarding / launch readiness
Gate: all checks green
04 · Ship & Run

Deploy, monitor, learn

We deploy, then keep running it: automated monitoring watches health 24/7, issues are triaged and escalated to a human, and every outcome feeds back into the fleet's knowledge.

  • Deploy & CDN / DNS cutover
  • Automated health monitoring
  • Learning loop → next build is better
Gate: monitored in production
Where to start

Start small: a proof of concept or an MVP.

You do not have to commit to the whole thing on day one. Most engagements begin with one of these two entry points.

Entry · POC

Proof of Concept

A focused build that de-risks the single hardest question — does the core idea work? Small scope, fast turnaround, a real artifact you can evaluate.

  • One critical assumption tested
  • Working artifact, not a slide deck
  • Clear go / no-go signal
Best for: validating feasibility
Entry · MVP

Minimum Viable Product

The smallest product that a real user can actually use — built through the full gated pipeline so it is production-grade from the first release, not a throwaway prototype.

  • Core feature set, shipped
  • Auth, data isolation, billing-ready
  • Built to extend, not to rebuild
Best for: getting to first users

Building a SaaS product? See software development for SaaS startups.

Support & reliability

Run by a monitored system, backed by a human.

We do not claim a 24/7 human support desk, because that would not be true. Here is how support and reliability actually work.

Monitoring
Automated, around the clock
24/7 health checksDeep-health sentinelsRestart-churn detection
Support
AI-assisted, human-escalated
Issues triaged automaticallyEscalated to a humanBest-effort resolution
Commitments
In writing, where they belong
Terms of ServiceStatus page for uptimeSLA only for enterprise tiers

We keep hard uptime and response numbers out of marketing copy and inside a signed agreement where they are enforceable. See our Trust & Security posture for details.

FAQ

Questions we get asked

Four gated stages: Discovery (brief to a verified spec), Build & Gate (agents produce production-complete code that must pass an anti-stub guard), Verify (sequenced QA, security, and onboarding gates), and Ship & Run (deploy plus 24/7 automated monitoring). Nothing advances until it clears its gate.
It depends on scope. A proof of concept can be days; an MVP is typically weeks. Because the fleet works in parallel and gates catch problems early, timelines are usually shorter than a traditional agency — but we scope honestly rather than quote a headline number.
Quality is enforced by gates, not trust. An anti-stub guard rejects scaffolding and mock data at build time, and a QA engineer sequences spec-conformance, security, and onboarding checks before anything ships. A human is accountable at every gate.
A description of what you want built or the business you want run. From there we compose the team, produce a spec you approve, and begin. You stay in the loop at each gate.
Yes. Most engagements start with either a proof of concept (test the hardest assumption) or an MVP (smallest usable product). Both run through the same gated pipeline.
Keep exploring

Related capabilities

Every technology below is delivered by the same composed engineering team.

Ready when you are

See the pipeline on your project.

Tell us what you want built. We'll compose the team, produce a spec you approve, and take it through every gate to production.

Start a project →