Turn an idea into a live product, step by step
This is the playbook for launching with an AI agent: describe what you want in plain words, and Yani builds it with a real database, payments, and hosting. Then connect your domain in one click, watch real visitors in built-in analytics, change anything by chatting, and export the full code whenever you want.
Step 1 — Describe the outcome, not the features
Most founders brief a builder the way they'd brief an agency: a list of sections, colors, and plugins. With an agent, the better brief is the outcome. Tell Yani what a visitor should be able to do and what "done" looks like: "a page where dog owners book grooming appointments and pay a deposit" beats "a hero section, a carousel, and a booking plugin."
Yani turns that outcome into a plan — the pages, the database, the payment flow — and shows it to you before building anything. You approve it, then it executes each step with real tools inside its own sandboxed computer while you watch. The plan is your spec, and you never had to write one.
Step 2 — Start with one page that converts
You don't need the whole product to learn whether anyone wants it. You need one page that makes the promise clearly and asks for one action — an email, a pre-order, a booking. Ask Yani for that page first.
Yani wires it for signal from day one: a signup form connected to real-time lead notifications, on pages rendered so both Google and AI engines like ChatGPT can read them. If that page can't get a stranger to leave an email, the dashboard behind it doesn't matter yet.
Step 3 — Connect your domain
A product on a borrowed URL reads as a side project; the same product on your own domain reads as a company. Yani gives every build a permanent URL, and connecting your own domain takes one click — the DNS records and SSL certificate are configured automatically.
Do this before you share the link anywhere. First impressions attach to the URL, and links get forwarded further than you expect. Hosting runs around the clock, metered at about 2 credits per hour, so the product is up when a stranger clicks at 3 a.m.
Step 4 — Watch real usage
Opinions from friends are noise; behavior is data. Yani builds analytics into what it ships, so you see visits and conversions without wiring up a third-party tool — and when someone leaves their details, a real-time lead notification tells you the moment it happens.
For a weekly rhythm, set a scheduled task — every paid plan includes up to 20 recurring tasks — and have a usage report land in your inbox each Monday. Decide the next change from what people did, not what they said.
Step 5 — Iterate by chatting
This is where an agent beats an agency. A change is a sentence — "make the pricing three tiers," "move the FAQ above the footer," "add Arabic" — typed into the same chat that built the product. No ticket, no queue, no invoice for a one-line edit.
Version control and rollback are built in, so a change that misses is one step from undone. And be as honest with yourself as Yani is with you: it's an AI and can make mistakes, so look over each change before you tell the world about it.
Step 6 — Export the code whenever you want
The playbook ends with the exit built in. At any point — first hire, first funding round, or plain curiosity — export the full code: frontend, backend, database. It's a clean codebase you can host anywhere and hand to any engineer, with no proprietary formats.
That changes what the tool is. You aren't renting pages inside someone else's platform; you're accumulating a product you own. When your engineering team arrives, they inherit a repository, not a migration project.
Step one takes a sentence
Describe the outcome you want. Yani plans the work, does the work, and shows you the result.