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What the AI Sprint is

The AI Sprint is our fixed-price way to start AI work: in 4 weeks we build and deploy one working AI capability for $10,000. Not a slide deck and not a prototype that lives on a laptop, but a feature, agent or assistant that real users or your team can use at the end of the month.

It is built for companies that know where AI should help but do not want to sign a six-month contract to find out whether it works. One month, one price, one result you can judge.

Who does the work

A small senior team working with AI coding agents. Senior engineers own the architecture, the data flow, security and the quality checks; AI coding agents do much of the routine implementation and testing under their review. That is how we deliver in weeks what usually takes a quarter, and why we can offer a fixed price.

We have shipped AI to real users before. Our own AI product, AI Resume Master, was built in about three months and reached 50,000 monthly active users. For a US startup we built an AI companion with chat history ingestion, persona fine-tuning and RAG memory.

What fits into one sprint

You need What we deliver in 4 weeks
AI feature in your existing product Drafting, summarizing, classification or extraction behind your back end, with limits and logging
Assistant over your own data Retrieval (RAG) over your documents or database, answers with source citations, an evaluation set
AI agent for one workflow An agent that uses your tools and APIs for one job, with human approval for risky actions
Automation of a manual process An AI step inside the process (documents, inbox triage, reporting) and a review queue

If what you need is bigger, we split it into sprints and agree the order with you.

How the 4 weeks go

  1. Before the sprint: a 30-minute scoping call. We pick the one capability that matters most, define what done means, and list the data and systems involved. You get a short written scope.
  2. Week 1: data and first version. Access to systems, model choice measured on your examples, a first end-to-end version behind a test switch.
  3. Week 2: quality. An evaluation set from your real cases, prompt and retrieval tuning, guardrails for wrong or risky outputs.
  4. Week 3: integration. Wiring into your product or tools, permissions, cost limits, logging.
  5. Week 4: launch and handover. Deployment, a short architecture note, cost per request and per month, and a walkthrough with your team.

You see working software every week, not a status report.

What is included and what is not

Included: scoping, design of the AI flow, development, evaluation, deployment, source code in your repository, documentation and a handover call.

Not included: model and hosting bills (paid directly by you, we estimate them up front), large data cleanup projects, and work outside the agreed scope. If the scope grows, it becomes the next sprint.

Price

$10,000 for 4 weeks, fixed. Continue month by month at the same price, or stop after the first sprint and keep everything we built. Our minimum project size is $10,000. For larger products see our AI agent development cost guide or get a range with the price estimate.

Next step

Book a 30-minute call on our contact page. Tell us what you want AI to do; we will tell you honestly whether it fits into one sprint, needs two, or does not need AI at all.

Case studies

Frequently asked questions

One clearly defined AI capability that works end to end in production. Typical examples: a feature that drafts, summarizes or classifies content inside your product; an assistant that answers questions from your documents with source citations; an agent that handles one workflow such as triaging inbound requests or preparing reports, with human approval where it matters. A whole new product with accounts, billing and admin usually takes two or three sprints.

We fix the price and the time, and agree the scope before the sprint starts. In a short scoping call we choose the one capability that matters most, define what done means and which data and systems it touches. If something turns out to be harder than expected, we simplify the scope together rather than extend the invoice. Senior engineers working with AI coding agents is what makes a one-month delivery realistic.

A working feature deployed to your environment or ours, the source code in your repository, a short architecture note, the evaluation set we used to check quality, and an estimate of the monthly model and hosting cost. You own everything we build.

You can stop, keep the result and run it yourself, or continue month by month at the same fixed $10,000 per sprint: the next feature, more integrations, better accuracy, or turning the first result into a full product. There is no long-term contract.

We pick the model on measured quality, speed and cost for your task: OpenAI, Anthropic Claude or an open model when data must stay on your servers. Back ends are usually Symfony or Node, front ends React or Next.js, mobile React Native or Flutter. If your product already has a stack, we work inside it.

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