Our process - Three phases. No surprises.

The way we run projects is boring in the best possible way. Scope is written down. Prices are fixed. A senior engineer owns the build. And every week, the system is visibly better.

01
1–2 weeksFree audit

Discover & Plan

Before we touch code, we figure out what the real problem is — and whether it’s worth solving with AI at all.

Start with a free 40-minute discovery call. We want to understand what the real problem is — usually it’s not what the job description says.

If there’s a fit, we run a free audit that ends with a short, opinionated technical design — data flow, model selection, retrieval strategy, guardrails, eval harness. Reviewed with you on a call, revised once, then locked. No 40-page enterprise spec, no 12-week discovery fog. You walk away with something you can act on, even if you don’t hire us.

You walk away with
  • Free 40-min discovery call
  • Audit doc: problem, data, scope, ROI
  • System architecture (3–6 pages)
  • Model + framework selection with trade-offs
  • Eval + monitoring strategy
  • Fixed-price proposal for the build
02
2–6 weeksImplementation

Build

One senior engineer owns the build. Weekly demos. Daily Slack. No three-week black box.

We build in small phases and deploy to a staging environment from week one. By week two you can usually use the thing, even if it’s rough.

If part of the architecture needs to change — and in real AI projects, it always does somewhere — we flag it the same day and re-scope in writing. We never quietly drift past what was agreed.

You walk away with
  • Weekly demo + written update
  • Daily Slack / async comms
  • Staging environment from week 1
  • Honest re-scoping if reality diverges
03
Day one → ongoingProduction + retainer

Ship & Support

Ship day is not the last day. We deploy, monitor, write the runbook, then stick around if you want us to.

We deploy to production, set up monitoring and alerts, wire up evals, and document the system so someone else could own it tomorrow.

Most clients then move to a monthly retainer ($500–$3,000/mo) for ongoing improvements and the boring infra work that keeps AI systems healthy. If you want to take it in-house instead, we hand off cleanly — no lock-in, no gotchas.

You walk away with
  • Production deploy + monitoring
  • Eval dashboard + regression alerts
  • Written runbook + handoff docs
  • Optional retainer for ongoing work

Operating values - How we work with you

The process above is the “what.” Here’s the “how” — the four behaviors every client gets, regardless of project size.

Transparent

Weekly demos. Written updates. If we hit a wall, you hear about it the same day — not during a status call three weeks later.

Opinionated

We'll tell you when your idea is wrong, when a cheaper model works, or when a feature isn't worth building. That's what you're paying for.

Focused

One senior engineer per project. We don't spread thin. We'd rather turn work down than ship something we're not proud of.

Documented

Every system we ship has a runbook. If you hire someone internally to take it over, they can — we don't lock you in.

Now booking — Q2 2026

Got an AI project stuck in pilot? We ship.

Tell us what you’re trying to build. A free 40-minute AI audit — live consultation, a look at your stack and workflows, and a written report on what off-the-shelf tools fit or whether you need a custom build. If it’s a fit, a fixed-price scope lands in your inbox within 48 hours.

Free · 40 min · written report · no slides

Based

  • KarachiStudio
    Senior engineering team
    Pakistan (GMT+5)
  • ColoradoHQ
    Zaibex LLC
    United States