Process

How an engagement actually runs.

Most projects fail in the gap between “cool demo” and “reliable system.” Our process is built to close that gap. Here is what every week looks like, and what you get at the end of each phase.

Discover

Week 0 · 1 week

We start with a 60-minute deep dive. By the end you have a written technical brief: scope, architecture, risks, and a fixed-price proposal.

What happens

60-minute scoping call with the engineers who will build the system
Review of any existing code, data, infrastructure, or vendor contracts
Architecture sketch sized to your timeline and budget
Risk assessment with explicit failure modes called out

What you get

Written technical brief (PDF)
Architecture diagram
Fixed-price proposal with milestones
MSA + SOW ready to sign

Prototype

Weeks 1–2

Working code in week one. We ship a minimum viable system early so you can see the model behave on your real data — not on toy examples.

What happens

Project repository, CI, and review process set up day one
Core user flow wired end-to-end with placeholder UX
First prompts/models running against your actual data
Weekly demo + async written status update

What you get

Working app behind a private URL
Source-code access in your or our GitHub org (your choice)
First eval results with a small golden set
Open list of risks and recommended scope adjustments

Productionize

Weeks 3–6

We harden the system: evals, observability, fallbacks, security, and CI/CD. Built for the failure modes models actually have.

What happens

Eval harness expanded to cover edge cases discovered during prototyping
Observability — request traces, model outputs, latency, cost — wired into a dashboard
Fallback and retry logic for every external dependency
Security pass: secrets handling, rate limits, abuse controls, audit logs
Performance pass: cost and latency targets met before launch

What you get

Production system running on your or our infra
Eval dashboard with regression tracking
Runbook covering deployment, monitoring, and incident response
Handoff session with your engineering team

Iterate

Ongoing · optional

Post-launch, we measure, tune, and extend. You get a clear changelog and metrics dashboard, not vibes.

What happens

Weekly metrics report covering quality, cost, and usage
Eval-gated releases — nothing ships without passing the regression suite
Quarterly architecture review against current model and tooling landscape
Optional retainer for new features and ongoing tuning

What you get

Public changelog and version history
Quarterly written review
Updated runbook as the system evolves

Principles

What we hold ourselves to.

We write down what we agree.

Every engagement starts with a written brief. Scope, deliverables, what happens if assumptions break — all on paper before any code is written.

Working code beats slide decks.

By the end of week one, you should be able to click around something running on your data. Demos beat decks. Real beats hypothetical.

Evals are the contract.

We agree on a measurable definition of “working” up front and freeze a regression suite. Releases pass evals or they don’t ship.

Senior engineers, full-stop.

Every line of code is written by someone who has shipped production AI before. No juniors learning on your project, no offshore handoffs.

Ready to start a project?

Tell us about your problem. We respond within one business day.

Start a project Read the FAQ