Most agencies turn a month of MVP work into a vague estimate and a discovery-phase invoice. We compress the same work into a fixed 14-day clock and write it into the contract.

Here's the actual cadence:

Day 0 you sign the brief. The repo is created in your GitHub org. First standup scheduled. Day 1 3 milestone 1: schema, auth, foundations. Reviewed. Day 4 7 milestone 2: core features. Reviewed. Day 8 10 milestone 3: secondary features, polish. Reviewed. Day 11 13 milestone 4: preview live on our infra, hardening, tests. Reviewed. Day 14 shipped. Tests green, preview live, docs written, a git log showing every commit.

How it's not just "faster = worse": AI handles the boilerplate scaffolding, types, test stubs. Humans handle judgment under ambiguity, multi-file consistency, and the thing the spec didn't say but you meant. Same outcome, fewer wall-clock hours, a person's name on every commit.

Every founder right now faces two bad options: spend months recruiting engineers, or use an AI generator that produces something gorgeous in a demo and unmaintainable the moment a real engineer opens the file.

We built a third option.

Senior engineers on the keyboard, AI tooling behind them for the boilerplate, shipping production-ready software in a fixed 14-day window. Your first build is free no card, no trial.

The difference is accountability. AI is great at scaffolding, types, and test stubs. It's still bad at judgment under ambiguity, multi-file consistency, and the thing the spec didn't say but you meant. So our engineers do that part, and every commit has a human author and a human reviewer. When something breaks at 2am, there's a person on the hook not a prompt.

Small eng shop here. We ship production software in a fixed 14-day window senior engineers + AI for the boilerplate, code in the client's GitHub from hour one. The first project is free; paid work after runs on Stripe milestone escrow.

The logic: a free first build is a cheaper, faster audition than any pilot or procurement cycle. Hate the result? Keep the code and walk. Like it? We're already running.

The problem: serious buyers hear "free" and think bait-and-switch or junior offshore team. Saying it isn't doesn't kill the doubt showing it has to.

So: what would actually make you trust a "first one's free" dev shop? A public sample repo? Named team? Something else?

We built Fluxez because of one gap that kept frustrating us: AI coding tools can generate genuinely impressive demos in minutes but serious buyers still can't take those demos to production. The code looks great in a screen recording, then falls apart the moment a real engineer opens it. No real auth. A schema you'd throw away. Tests that don't run. Structure nobody can extend without a rewrite.

That gap between "AI-generated prototype" and "something your customers can actually log into" is where most projects quietly die. You either handed too much to the AI, or not enough.

Fluxez sits inside that gap. We're a Japanese engineering shop that ships production-ready software in a fixed 14-day window. Real senior engineers on the keyboard, AI tooling behind them for the boilerplate not an AI generator pretending to be a team. Code lands in your GitHub from hour one, with weekly milestone reviews you sign off on.

And your first build is genuinely free. No card, no subscription, no trial countdown. We'd rather show you we can ship than spend a meeting convincing you.

We've been experimenting with a different model at Fluxez.

Instead of asking founders to commit to a contract upfront, we build the first project for free. The idea is simple: it's easier to evaluate a team based on what they ship than on sales calls, proposals, or portfolios.

The code lives in the client's GitHub repository, and if they're not happy with the result, they keep the code and walk away.

Some people love the idea.

Genuine question for the PH community especially founders who've actually tried to ship something from an AI builder.

The pattern I keep seeing: a non-technical founder uses Lovable / Bolt / v0, gets a working prototype in 2 weeks, shows it to a customer, and the customer says "ship it." That's when the wheels come off the auth is a stub, the schema doesn't extend, and the next engineer they hire spends 6 weeks rewriting the whole thing.

I don't think AI builders are bad they're remarkable at what they do. But there's a gap between "demo-quality" and "production-quality" that no one seems to be filling.

Three questions I'm curious about: