How we work — Preview to production to product

// ENGAGEMENT MODEL

Working software early. You decide at every gate.

We engage in phases — each one small enough to verify and large enough to matter. No long discovery decks before anything runs. You see a working system on your real data in about a week, harden it to production in about thirty days, and own the result outright.

The arc is the same every time: preview, then production, then — where a pattern recurs — a product. We rebuild the foundations so you can build the rest.

FIG. PREVIEW → PRODUCTION → PRODUCT

REF: OMNI-ENGAGE Engagement arc: a working preview hardening into a production system across timed phases

01 // The arc

Preview, then production, then product.

Three phases, each with a defined deliverable, a defined duration, and a defined boundary. You are never buying an open-ended commitment, and you decide whether to proceed at the end of each one.

REF: PHASE-01

bolt

ONE WEEK

Technology preview

A running system that does one real thing, end to end, on your actual data — not a slide deck, not a wireframe. Real data is the point: it surfaces the messy edges immediately and proves the approach against reality, not a demo-friendly happy path.

The preview answers the only question that matters at the start: does this actually work for us? If the answer is no, you have lost a week, not a quarter.

SPEC_ID: OMNI-PREVIEW // SCALE 1:1

REF: PHASE-02

rocket_launch

~30 DAYS

Path to production

We harden what the preview proved: real authentication, real scale, integrations into your stack, the verification gates and evals that keep it correct, and the operational handoff.

Work ships in small, independently verifiable increments — so the system is usable and inspectable the whole way, not delivered in one big-bang reveal.

GATES: FORMAT // LINT // TYPES // TESTS

REF: PHASE-03

deployed_code

WHEN A PATTERN RECURS

Productize the patterns

When a pattern shows up across engagements — a kind of document workflow, an assessment engine, a voice-driven assistant — we productize it.

The next problem starts further along, because the hard, general parts already exist and have been hardened in production. Recurring value becomes a recurring product.

OUTPUT: HARDENED, REUSABLE FOUNDATIONS

02 // The method behind the speed

A disciplined autonomous build pipeline, with judgment at every checkpoint.

Anyone can hire engineers. The leverage is in how we run them. Every build begins with a primer — a single document that fixes the architecture, the stack, the conventions, and the definition of done — decomposed into small, numbered task files, each an independently shippable unit of work.

A task runner executes them one at a time. Each task passes verification gates before it counts as done; nothing advances on a red gate. Work that is independent runs in parallel, each agent in an isolated workspace, so concurrent changes never collide. The unit of work stays small — which is what makes both parallelism and review tractable.

REF: OMNI-PRIMER → tasks → runner → gates

FIG. SPEC-DRIVEN AUTONOMOUS BUILD

REF: OMNI-METHOD Autonomous build pipeline: a primer decomposed into tasks, executed by a runner through verification gates

REF: METHOD-Achecklist

Eval-driven AI

Model behavior is measured, not hoped for. We climb a ladder — golden corpora, thumbs feedback, prompt tuning, and fine-tuning last — and pin tuned behavior so an automated change can't silently regress it.

REF: METHOD-Bhub

Provider abstraction

Swappable, best-in-class providers behind clean interfaces — model, voice, embeddings, transcription. Switching a vendor or adding a fallback is a config change, not a rewrite. You are never hostage to one vendor's pricing or outages.

REF: METHOD-Cwhere_to_vote

Human checkpoints

Autonomy is not abdication. The pipeline is fast precisely because the checkpoints are deliberate — a human reviews the primer, reviews at defined gates, and signs off before anything reaches production. Judgment stays where judgment matters.

03 // Two more ways in

Build alongside us, or start from a prototype that hit a wall.

REF: ENTRY-01

FORWARD ENGINEERING // BUILD + TEACH

Build with us, not just receive a system

We embed engineers with your people to build micro-apps and internal tools directly against your workflows. You get working software and your team gets the practices — building with agents, eval-driven development, shipping small — by doing the work with engineers who already operate that way.

Engineers embedded against your real workflows
Working software shipped as you go
Your team leaves fluent in the practices

REF: ENTRY-02

RECOVERY // ADVISE → BUILD

Fixing the vibe-coded prototype

A common starting point: a non-technical team built a prototype with AI tools, it got them surprisingly far, then hit a wall — it cannot scale, cannot be secured, or cannot be safely changed. We read the prototype for what it got right, keep the parts worth keeping, and rebuild the foundations underneath so it can actually go to production.

Read the prototype for what it got right
Keep what is worth keeping
Rebuild the foundations so it can scale

04 // Scope, price, and the boundary

Phases, fixed-scope, MVP-first.

Each phase has a defined deliverable, a defined duration, and a defined boundary. The first phase is always the smallest thing that proves real value; later phases extend from a working base rather than from a plan.

Pricing follows the phasing: fixed-scope per phase rather than open-ended time-and-materials, with ongoing support available as a retainer once a system is in production. We size each phase to its deliverable — the smallest engagements are a single preview, the largest are multi-phase platform builds. We will tell you which is right for the problem.

FIXED-SCOPE / PHASEMVP-FIRSTDECIDE AT EACH GATE

FIG. WHERE THE HUMAN STAYS

REF: BOUNDARY-01 Process handoff across a boundary: automated work to the left, human judgment to the right

The constant across every engagement is where we put the human: at the gates and the judgment calls, never in the assembly. Knowing which knob to turn means leaving the load-bearing decisions with the people accountable for them.

05 // IP and handoff

The work is yours. A clean handoff is a feature, not an afterthought.

We are an applied engineering laboratory, not a staff-augmentation body shop. We build so that you can own and operate it — our interest is in the foundation being sound enough that you can build the rest yourself.

REF: HANDOFF-A

folder_open

Repo handover

Source, history, infrastructure config, and the primer and task files that produced it — handed over as a working, documented repository, not a black box.

REF: HANDOFF-B

lock

Code escrow option

Where you want a contractual guarantee of continuity independent of us, we can place the codebase in escrow.

REF: HANDOFF-C

school

Operational transfer

We hand off the knowledge with the code — how it is built, how to extend it, how to run it — so your team is not dependent on us to keep moving.