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TOKAN / 02 BUILD

Software shaped
like your company.

A senior engineering team directing AI agents, building the system your business needs and no vendor sells. Fixed price, a working demo every week, and your repository from day one.

What we build

Four kinds of builds. One standard: it ships.

BUILD-01

Workflow automation

The process that eats your week, built to run itself. Quote to cash, onboarding, claims, triage, reconciliation, reporting. Built against your real systems of record rather than a parallel copy, with a human checkpoint on the exception path.

EXAMPLE ENGAGEMENTA distributor re-keying supplier invoices into their ERP twice a week. We ship extraction, matching, and a variance review queue. The two-day-a-week task becomes a twenty-minute review.
BUILD-02

AI copilots & agents

AI that works inside your business: drafting responses, triaging tickets, processing documents, chasing invoices. Built on your data with scoped permissions, evaluations, cost ceilings, and human handoffs designed in from day one rather than added after the incident.

EXAMPLE ENGAGEMENTAn insurance brokerage drowning in intake PDFs. An agent extracts, validates, and files submissions into their AMS, with a review queue for low-confidence cases. Fourteen hours of manual work a week, gone.
BUILD-03

Internal tools & dashboards

The ops tool your team keeps faking in spreadsheets. Custom-fit to your workflow, connected to your real data sources, and cheap enough to build that "we'll just use Excel" stops being the rational answer.

EXAMPLE ENGAGEMENTA 40-person brand running inventory across three spreadsheets and a prayer. One sprint: a live console pulling from Shopify and their 3PL, with reorder alerts. The spreadsheets retire.
BUILD-04

Legacy replacement & product

That $50k-a-year SaaS you use 20% of, or the 2014 codebase nobody dares touch. We map what it actually does, rebuild the parts you need as your own asset, and hand you the keys plus the maintenance plan. Also: v1 products for founders who need to ship.

EXAMPLE ENGAGEMENTA services firm paying five figures a year for a bloated CRM. We rebuild the six workflows they actually use as their own app across three sprints. The subscription dies at renewal.
The Tokan Build Log

28 days, fully visible.

This is the level of detail every client sees, every day, in a shared log. No status meetings. No “we're at 80%.” Just what shipped, and what broke.

TOKAN BUILD LOG: FULL TRACE
$ tokan init --client acme-ops --sprint 2x
Day 01  Scoping call. 14 requirements → 9 in scope, 5 parked.
Day 02  Fixed quote delivered: 2 sprints, one price, signed by EOD.
Day 03  Architecture doc + clickable designs approved on a 30-min call.
Day 05  Repo live in client org. CI green. Auth + data model done.
Day 07  Demo #1: core workflow, end to end. 6 notes back.
Day 09  All 6 notes resolved. Edge cases + error states in.
Day 11  Eval suite + golden dataset committed. Baseline recorded.
Day 14  Demo #2: feature-complete. Client team starts real testing.
Day 17  Test feedback: 11 issues found, 11 fixed. Load tested.
Day 21  Docs + handover video recorded. Runbook written.
Day 24  Production deploy. Monitoring, cost caps, alerts on. Team trained.
Day 28  Stable in production. Handover complete.
→ 9 requirements shipped · 0 scope surprises · 1 invoice
Why fast doesn't mean fragile

AI writes most of the code.
Seniors sign every line.

The engineering standard

  • Every AI-generated change reviewed by a senior engineer before merge
  • Automated tests and CI from day one: green pipeline or it doesn't ship
  • Evaluations before features on anything with a model in the path
  • Least privilege by default: every tool scoped, every action logged
  • A human checkpoint on anything irreversible: money, deletions, customer contact
  • Enforced cost ceilings per run, per user, per day. Not monitored. Enforced.
CODE LIVES IN YOUR GITHUB ORG FROM DAY ONE. AUDIT US ANYTIME.

The commercial standard

  • Fixed price locked before kickoff. Scope changes get a new quote, never a surprise invoice
  • First working demo within 7 days, or the sprint is free
  • Every sprint is a clean exit point: stop anytime, keep everything
  • 30 days of post-launch fixes included on every build
  • One senior operator as your point of contact, start to finish
  • No proprietary layer. Nothing you have to keep paying us for.
WE CARRY THE RISK. WE'RE THE ONES CLAIMING TO BE FAST.
The stack

Chosen for your problem, not our comfort.

We are not religious about tools. We are religious about you being able to hire someone else to maintain what we built, which rules out anything exotic.

Application

Boring on purpose

React, TypeScript, Node, Python, Postgres. Widely known, widely hireable, and still here in five years. If your team already runs something sensible, we use that instead.

AI layer

Model-agnostic by design

Claude, GPT, or open weights, behind an interface you can swap. The evaluation suite is what makes swapping safe, which is why we build it first.

Infrastructure

Your cloud, your keys

AWS, GCP, Azure, or wherever you already are. Your accounts, your billing, your access control. We get invited in and we can be shown out.

Straight answers

Build questions.

What exactly is a sprint?

Two weeks, one fixed price, one agreed list of requirements, and working software at the end of it. Not a time box we fill with whatever is convenient. The requirement list is written down before the sprint starts and it does not move without a new quote you approve.

How many sprints will we need?

Most workflow automations are one to two. Most agent systems are two to four. Most product v1s are three to five. After a Map sprint we can give you the number rather than a range, which is most of the reason the Map exists.

Is AI-written code actually reliable?

On its own, no. That is why every line ships through a senior engineer's review, with tests and documentation. AI gives us the speed; humans guarantee the quality. You get the repo, so nothing is hidden.

What happens when the model gets something wrong in production?

It routes to a human. Every system we ship has confidence thresholds and a review queue, plus a full trace of each run so you can see exactly what the model saw and why it decided what it did. Anything irreversible requires a person regardless of confidence.

Who maintains it after handover?

Your team can, and we write the documentation and runbook assuming they will. Thirty days of fixes are included. If you would rather we ran it, that is what Loop is for, but it is a choice and not a requirement.

What if you miss the 7-day demo?

That sprint costs you nothing. We carry that risk because we are the ones making the speed claim, and a guarantee you never have to invoke is the only kind worth publishing.

Have something to build?

Describe it in three sentences. We come back inside 48 hours with a fixed price, a sprint plan, and a launch date.

Get my fixed quote
first demo: 7 days · fixed-price sprints · your IP: 100%