Outcome-based AI product engineering for pre-seed to Series A founders

Most AI development engagements start with a sprint plan. We start with an audit.

Before we write a line of code, we look at the use case technically, what the AI actually needs to do, where inference is the right tool versus where a deterministic approach works better, and what "good" looks like in production versus in a demo.

Fixed-scope MVP delivery for pre-seed founders who can't afford scope creep

Most early-stage founders don't have a build problem. They have a timeline and budget problem.

We've worked with enough pre-seed teams to see the pattern: the first month gets eaten by scoping conversations. The second month gets eaten by revisions on decisions that should have been made in week one. By month three, the MVP has moved, and so has the budget.

Ailoitte: MVP in 4 Weeks is a fixed-scope, fixed-price engagement. We scope the MVP with you before a line of code is written, lock it, and ship in four weeks.

Hey everyone - wanted to share directly with our community first.

Ailoitte: MVP in 4 weeks. Delivery goes live on Product Hunt at 12:01 AM EST Friday, April 17.

Most MVPs stall for the same three reasons: scope creep mid-sprint, QA treated as a Week 4 problem, and founder decisions taking 3+ days.

If you follow this page, you'll get notified automatically when we go live. Would genuinely love your feedback on launch day: http://producthunt.com/products/...

One thing we get asked about constantly, especially in healthcare and fintech, is how we handle the audit trail problem.

Every AI query needs to be attributable to a specific user, timestamp, and context. Not as an afterthought. Baked into the architecture from day one.

Building production agent systems is genuinely hard in ways that demo videos don't show.

The failure modes I keep running into:

• Cascading quality degradation when agent confidence doesn't propagate between transitions

• Race conditions in the shared state under concurrent load

• Silent errors where the orchestration reports success, but the final output is quietly wrong

That last one is the most dangerous. Everything looks fine until a real user hits it.

Hey Product Hunt!

We just went live, and we're on a mission to end "unpredictable dev costs" for startups and enterprises.

For the last 12+ years, we've watched founders get burned by agencies with scope creep, missed deadlines, and surprise invoices. Today we're changing that.

Ailoitte delivers AI-native app development at a fixed price with guaranteed outcomes. Discovery Architecture MVP Scale. No surprises. Just shipped products.

Hey everyone!
The way software gets built is shifting fast, vibe coding, AI agents, MCP tooling, and we're seeing clients ask a big question:

"Can I get a production-ready product without open-ended billing?"

Curious how you're thinking about this:

Have you worked with dev agencies? What broke down?