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21 days · from $1,999 · fixed

Ship It Live · AI agent sprint

An AI agent that does the work, live in 21 days.

Not a chat box — an agent that reads, decides and acts in your systems, with a human able to see and stop everything it does.

4.93★ / 32 reviews 75+ shipped Kickoff in 24h

Quick answer

An AI agent that takes real actions in your own tools can be built and running in 21 days from a fixed $1,999. That covers the task definition, tool integrations, an approval step on anything consequential, run logs and a review interface. An agent with no human checkpoint is not something I will build.

The plan

Day one to day 21, written down.

You get this schedule before you commit, not after. If a phase slips, that is mine to absorb — the price and the date were agreed before anything started.

  1. 1

    Days 1–3

    Pick the task

    The narrowest valuable loop, its inputs, and what a wrong answer costs. Agents fail when the task is vague, so most of the risk is removed here.

  2. 2

    Days 4–9

    Design the loop

    The decision points, the approval gates, and what the human sees. Designed on paper before anything is wired to a live system.

  3. 3

    Days 10–16

    Build

    Tool integrations, the agent loop, logging and the review interface. Run against real data in a sandbox where nothing it does is permanent.

  4. 4

    Days 17–19

    Shadow mode

    It runs on real work but only proposes — a human approves everything. This week tells you how often it is right before it can be wrong at your expense.

  5. 5

    Days 20–21

    Launch

    Selected actions unlocked with approval still in place on the rest, monitoring on, and a clear kill switch.

What from $1,999 gets you

Everything needed to launch — nothing padding the invoice.

A narrowly defined task the agent is actually good at
Tool integrations — your CRM, sheets, inbox, database, or internal API
An approval step on anything consequential, before it happens
Full run logs: what it saw, what it decided, what it changed
A review interface so a human can inspect, correct and re-run
Guardrails: what it may never touch, and when it must stop and ask
Cost controls and rate limits, so a loop cannot quietly spend thousands
Source code, prompts and configuration yours at handover

Who books this

Built for

Teams with a repetitive process that is judgement-heavy but low-stakes

Operations doing the same research-and-update loop dozens of times a day

Founders who want agents doing work, not demos of agents doing work

The honest part

When 21 days is the wrong answer.

A fixed deadline only works when the scope genuinely fits inside it. These are the cases where I will tell you so rather than take the booking.

Fully autonomous agents acting on money, contracts, customers or production infrastructure without a human checkpoint. I will not build that, and you should not want it yet.

Agents whose task nobody can describe precisely. If two people in your team define the process differently, we settle that first.

Replacing an entire role. A good agent takes a defined loop out of a job; anyone selling you the whole job is selling you a rebuild in six months.

Questions

Before you book

A chatbot answers; an agent acts. It reads from your systems, decides, and writes back — creating records, sending drafts, updating fields. That is why approval gates and logs matter far more here than in a chatbot.

21 days from now, this could be live.

A 30-minute call decides whether the scope fits. If it doesn't, I'll tell you what would.