Emergent will get you to a deployed application faster than anything else on this site. The risk is not day one — it is week two, when the first real feedback arrives and every change costs credits because the foundation was never decided deliberately.
This is a sequence that avoids that, using Emergent (8.1) as the builder.
Step 0 — decide what you are testing
An MVP exists to answer a question. Write the question down before you write the spec: will people sign up, will they complete this flow, will they pay.
This determines what you can safely leave out, which is the single biggest lever on cost. Every feature that is not answering the question is credits spent on something you will throw away.
Step 1 — write the spec, including the boundaries
Describe the application in plain language, but include the negatives explicitly: what it does not need, which cases can fail ugly, what can be manual for now.
Vague specs are the main cause of rework, and rework is where credits go. A page of clear specification is cheaper than three rounds of correction, and it is the difference between a predictable build and a surprising bill.
Include the data model. Deciding your entities and relationships up front avoids the most expensive class of late change, because a schema alteration ripples through everything already generated.
Step 2 — build in slices, not in one request
Ask for a narrow vertical slice first: one flow, end to end, with real auth and real persistence. Get that deployed and working before you widen.
This gives you an early read on whether the generated architecture is something you can live with, at a point where changing direction is cheap. A single large request that produces a whole application also produces a whole application you have not reviewed.
Step 3 — export to GitHub as soon as it works
Emergent integrates with GitHub and you can host the code anywhere. Use that early rather than at the end.
Two reasons. First, ownership: your MVP is no longer dependent on one platform's continued goodwill. Second, economics: once the code is in your repo, a developer fixing a small bug costs their time rather than credits, and small bugs are constant at this stage.
Step 4 — decide the handoff point in advance
Write down the condition under which this stops being an Emergent project and becomes a normal codebase — first paying customer, a specific user count, the moment it holds data you would be embarrassed to lose.
Teams that do not set this in advance tend to discover it retrospectively, usually during an incident. The transition is much cheaper when planned.
Step 5 — review the generated code before it matters
Have someone read it while the stakes are low. You are looking for the things that are painful later: how secrets are handled, whether auth is real, whether the data model will survive the next feature.
You do not need to love the code. You need to know what you have, because "nobody has read this" is a poor position to be in the first time it breaks.