How we work

People decide.
AI builds.

Human judgment and AI together — that's the normal way good software is built now. You own every decision that carries risk. AI handles the labor inside the lines. Nothing ships until a real acceptance suite is green and a person signs off.

Architecture expertise, AI acceleration,
every outcome verified

Loopwright is software engineering for the modern AI world. We bring deep architecture knowledge to every engagement, use AI to accelerate the work, and hold every build to a verified, demo-frozen acceptance suite before anything reaches you for review.

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Deep architecture expertise

Every engagement starts from sound architectural decisions — data model, service boundaries, failure modes, and portability. We make those choices visible and reviewable, not opaque.

AI acceleration inside the lines

AI handles the labor: generating code, running iterations, and working through repetitive engineering tasks at a pace and cost that would be impractical otherwise. You don't manage that process — we do.

Every outcome verified

The acceptance suite is frozen from the demo and is the authoritative build gate. A build is done when the suite is green and a person has approved it — not when we say so.

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Governed from start to finish

Three human gates structure every engagement. Scope, what "done" means, and what ships are always your decisions — nothing moves past a gate without your sign-off.

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We build on it ourselves

Loopwright's own products — this site included — are built on the same engine, the same acceptance suites, and the same human gates we deliver to clients. If something breaks in the process, we find it first.

Three gates, three human decisions

AI works fast inside a bounded problem. The gates are where you set the bounds, confirm the answer, and decide what ships. No gate advances on autopilot.

1

Scope gate — you define done

Before any work begins, you approve the scope: what the product does, what it doesn't do, and what the acceptance criteria are. Those criteria are then frozen into the demo — they become the contract that every subsequent build is measured against. Changing scope after this gate is an explicit, recorded decision.

Human approval required
2

Demo gate — you validate the answer

A working demo is shown against the frozen acceptance suite. You can see exactly which criteria pass and which don't. If the demo is wrong, scope can be adjusted here — with a clear record of why — before the build begins. Nothing is hidden behind a progress report.

Human approval required
3

Release gate — you decide what ships

The final build is run against the frozen suite. Results are printed in full — pass, fail, and the economics report (billed tokens and dollars, which features held on the fast model tier, which escalated, and what tiering saved). A person reviews the diff and the passing suite. Nothing ships until that review is done.

Human approval required

Quality and economics, held together

These aren't in tension. A verified acceptance suite means you know exactly what you got. A real cost report means you know exactly what it cost. Both, together, every build.

Quality — verified, not asserted

The acceptance suite is the shared contract between every stage of the process. A build is done when the suite is green and a person has approved the diff — not when someone says it's ready.

  • Acceptance criteria frozen from the demo
  • Suite re-run against the real build (never a mock)
  • Full pass/fail output at every release gate
  • Human review of the diff before anything ships

Economics — reported, not estimated

Every build prints a real economics report. We show nothing rather than invent a number — if a figure isn't real, it doesn't appear.

  • Billed tokens and dollars per build
  • Which features held on the fast model tier
  • Which escalated to a more capable model, and why
  • What tiering saved versus running everything at the top tier

Portable by design — honest about today

Portability is a verifiable architectural property, not a marketing claim. The build backend sits behind a single interface; model tiers are swappable; agents are model-agnostic. We're transparent about what we run on today.

Today's engine, tomorrow's options

We run on Claude today and deploy to Vercel today — we say so plainly. The architecture is built so that changing either is a configuration decision, not a rewrite. We won't claim live multi-cloud capabilities we don't have; we will show you the interface boundary in the code.

Model engine Claude (today)
Deploy target Vercel (today)
Architecture Swappable by design

Ready to see it in practice?

Bring us a product. We'll define the scope together, freeze the acceptance criteria, and show you a working build — with the suite results and cost report alongside it.

Onboard your product →