Yes. Code lives in your GitHub org from day one. No license fees. No vendor lock-in. Standard MIT-friendly architecture using open-source tooling where possible.

What if I do not know what to build yet?

Then do not buy this yet. Start with the AI Readiness Assessment or a discovery call. Revenue MVP works best when you have a validated idea and a willingness to commit 6 weeks of fast iteration.

Can my team work on the code after launch?

That is the goal. I write code the way I would want to inherit it: typed, tested where it matters, documented in plain English, no clever indirection. Most teams pick it up in a week.

What if I want you to keep building after launch?

Embedded Partner ($8,000/mo) is built for this. Long-term partnership where I am your fractional AI engineer. Fig and Bloom has used this model for 3 years and 12 apps.

What does "production-ready" actually mean?

Auth that survives a security audit. Billing that does not double-charge. Error handling for the 2am edge cases. Monitoring so you know what is breaking before your customers do. The boring stuff that separates a demo from a business.

Can you build it in fewer than 6 weeks?

Sometimes. Very small scopes (e.g. one workflow with one user role) can ship in 3 to 4 weeks. I do not pad timelines. If your scope fits in 4, that is what we agree to.

All agents

Build

12 production apps shipped for one client over 3 years

Revenue MVP

Production-ready AI product in 6 weeks. You own all the code.

6 weeksArchitecture to launch

100%Code in your repo, you own it

109Production systems shipped

Most AI products die in the gap between "demo works on my laptop" and "first paying customer". Revenue MVP closes that gap. Production architecture from day one: auth, billing, observability, error handling. Built fast, built right, built to be handed over to your team or scaled by me.

Built by Jahanzaib Ahmed, AI Systems Engineer·Updated May 23, 2026

Live in 6 weeksLive or first month freeYou own the code

Start this buildSee full pricing

Default tier

Production Build

$12,000+ $1,500/mo

one-time + monthly operate · 21-day delivery

Revenue MVP is the only agent priced as a custom Build (typically $12,000 to $25,000 depending on scope). Starter and Embedded tiers do not apply. Quote-based after scoping call.

Guarantee

Live in 21 days or your first month of operate is free.

Start this buildCompare all 3 tiers →

Who is this for?

Built for the people who already know what is broken.

I would rather lose a deal than take on a project that is not a fit. Honest fit signals below so you can self-qualify before booking a call.

Ideal fit

Founders with a validated AI product idea and no engineering team
Operators inside a larger company who need an internal AI tool shipped before next quarter
Series A startups whose engineering team is bandwidth-constrained but the AI feature cannot wait

Not a fit if

Pre-product-market-fit ideas that need user research first (start with the AI Readiness Quiz)
Enterprises with a 6-month procurement cycle: speed is the whole point here
Teams that want a SaaS subscription instead of owning the code

What is in the box?

Production-grade. Nothing left for you to figure out.

Every Revenue MVP engagement ships with these components. No phase-two surprises. No upsells once the contract is signed.

Architecture document signed off before any code is written

Next.js, React Native, or pure API depending on your needs (your choice, my recommendation)

Auth (Cognito, Clerk, or Supabase), billing (Stripe), database (Postgres or DynamoDB)

Agent backend on AWS Bedrock, Claude API, or OpenAI depending on cost/latency profile

Observability stack: Sentry for errors, PostHog for product analytics, CloudWatch for infra

Production deployment (Amplify, Vercel, or AWS depending on what fits)

Code in your GitHub org. You own it. No vendor lock-in.

A written runbook so your team or your next hire can keep shipping

How does the build actually run?

Four phases. Three weeks. One engineer.

I do not disappear and surface with a demo. You see daily progress. You sign off at each phase. If something is wrong, we catch it before it ships.

Architecture sprint (Week 1)

I build a written architecture doc: data model, agent design, integrations, auth strategy, billing flow. You review and sign off. No code yet.

Vertical slice (Weeks 2 to 3)

I ship one end-to-end user journey: signup, core agent interaction, save result, see history. You use it. We iterate fast.

Feature buildout (Weeks 4 to 5)

Remaining features layered on top of the working slice. Each ships behind a feature flag. You see daily progress.

Production hardening (Week 6)

Load testing, security review, monitoring tuning, runbook written. We deploy to your production environment. You launch.

Real client. Real outcome.

What does this look like in the wild?

Case study

Fig and Bloom: 12 production AI apps shipped over a 3-year partnership.

Read the full case study

How does the math compare to hiring?

The unit economics, plainly.

Hiring a human

$120K to $250K to hire a mid-level full-stack engineer who has never shipped a production agent before. 6 months to first launch.

Hiring this agent

$12,000 to $25,000 fixed. 6 weeks. You own the code. I have shipped 109 of these.

Real outcome: Fig and Bloom: 3-year partnership, 12 production apps shipped, 70% of operations automated.

The questions everyone asks

Revenue MVP FAQ

Go deeper

Not quite the right fit?

Voice

Ready to ship?

Tell me what you are trying to fix. Twenty minutes on a call. I will tell you in plain English whether Revenue MVP is the right fit and what it will cost.

Start the conversationSee the work