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7 Hidden LayersBeyond the API
[ 03 ]Approach

Measured, then built.

Six steps, in the same order, every time. Not because process is precious — because skipping one is how AI projects quietly become nine-month experiments.

First output
Within 2 weeks
Cadence
Weekly demo, written notes
Ends with
A runbook, not a bill
[03The engagement]
  1. Step 01

    Discovery

    We start with the constraint, not the technology. What must be true for this to be worth doing — and what happens if it isn't.

    Problem brief & success criteria
  2. Step 02

    Architecture

    The system drawn before it is built. Layer by layer, with the trade-offs written down where they can be argued with.

    Architecture & decision record
  3. Step 03

    Prototype

    The riskiest assumption, built first and measured against a real evaluation set. Fast enough to be wrong cheaply.

    Working prototype & eval harness
  4. Step 04

    Optimization

    Down the stack. Quality, latency and cost pushed until the curve flattens and further effort stops paying.

    Benchmarked performance envelope
  5. Step 05

    Production Deployment

    Shipped with the unglamorous parts intact: monitoring, rollback, on-call notes and a team that can operate it without us.

    Live system & runbook
  6. Step 06

    Continuous Improvement

    Models move, data drifts, costs change. A cadence of evaluation and tuning that keeps the system from quietly decaying.

    Ongoing eval & tuning cadence
[—Engagement models]

Three ways to start.

Sized to the decision in front of you rather than the budget cycle behind it.

012 — 4 weeks

Research sprint

One blocked question, answered with a working prototype and a written verdict. Fixed scope, fixed price.

You need to know if it's possible.

023 — 6 months

Embedded build

We join your team and build the system with them, layer by layer, leaving behind engineers who can operate it.

You need it shipped and owned.

03Ongoing

Advisory retainer

Architecture review, model decisions, cost audits and a second opinion on the calls that are expensive to reverse.

You have the team, not the depth.

[—What you can expect]
0

Layers of the stack, worked end to end

≤ 0wk

From first call to a measurable prototype

0×

Typical inference cost reduction

0%

Engagements handed over with a runbook

Next step

Start with a conversation.

Thirty minutes, no deck. We'll ask what you're building, where it hurts, and what you've already tried.

Book a consultationEmail us↗↗

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