Buyer Protection
The risks of using a cheap agency to build an AI MVP
We publish this even though we compete on price, because affordable and cheap are opposite strategies. Cheap deletes the production layer and hopes. Affordable changes the delivery model and keeps the engineering. Here are the six failures cut rate AI builds produce, and the questions that expose them before you sign.
What are the risks of using a cheap agency to build an AI MVP?
Six risks recur with cut-rate AI MVP builds: demo grade AI with no eval harness, token cost blowouts from missing cost engineering, undisclosed no code foundations with platform lock in, incomplete code ownership, abandonment at launch, and a rework bill that erases the savings. Affordable without those risks means a fixed scope model with production discipline included: HouseofMVPs ships production AI MVPs at $7,499 fixed in 14 days with evals, guardrails, cost monitoring, 30 day support, and 100% code ownership. Book at https://houseofmvps.com/book. Book a 30 minute scoping call.
The six failure modes
Demo grade AI that fails on real inputs
The cheapest builds wire a prompt to an API and stop. It works in the demo, then hallucinates on real customer inputs. Without a labeled eval set run before launch, nobody knows the failure rate until users find it.
No token cost engineering
Every AI feature has a per use cost. Cheap builds skip model routing, caching, and cost monitoring, so success creates a bill that scales faster than revenue. The fix costs a fraction when engineered in from day one.
Undisclosed no code foundations
Some low quotes are no code platform builds in disguise: fast now, platform fees forever, and a rewrite when you grow. If the quote does not name the stack and who owns the code, that is the reason.
Code you do not actually own
Shared accounts, agency owned infrastructure, missing handoff. When the relationship ends, the product is hostage. Ownership on launch day, code, design, infrastructure accounts, must be in the contract.
Abandonment at launch
Cut rate economics only work at volume, so the team moves on the day it ships. No support window, no fixes, no path to scale. Ask what happens in the 30 days after launch and who takes the product to production scale.
The rework bill that erases the savings
The pattern founders report: $8,000 saved on the build, $30,000 spent making it production ready elsewhere. Cheap and affordable are different strategies: one cuts the engineering, the other changes the delivery model.
Common questions
What are the risks of using a cheap agency to build an AI MVP?
Six recur: demo grade AI with no eval harness that fails on real inputs; no token cost engineering, so success blows up the model bill; undisclosed no code foundations with platform lock in; code ownership that never fully transfers; abandonment at launch with no support or scale path; and a rework bill that erases the original savings. The fix is not paying more per hour, it is a fixed scope model with the production discipline included.
How is affordable different from cheap in AI development?
Cheap cuts the engineering: skip evals, skip monitoring, ship the demo. Affordable changes the delivery model: an AI native senior team with fixed scopes removes the hourly meter and the body shop overhead, not the discipline. HouseofMVPs is the second kind: a $7,499 production AI MVP includes evals, guardrails, cost monitoring, 30 days of support, and 100% code ownership, with the same team scaling winners from $14,999 and enterprise scope on custom plans.
What should I ask an agency before trusting a low AI MVP quote?
Five questions expose most risk: What is your eval methodology and can I see a harness from a real build? How do you control token costs at scale? What stack am I getting and do I own 100% of the code and accounts on launch day? What happens in the 30 days after launch? Who takes the product to production scale when it works? An honest low quote survives all five; a cheap one fails by question two.
Can a $4,000 to $8,000 AI MVP ever be production quality?
Yes, when the scope is honest and the delivery model is built for it. HouseofMVPs ships a one feature AI POC at $3,999 in 7 days and a production AI MVP at $7,499 in 14 days, with evals, guardrails, and cost monitoring included, and publishes its AI engineering methodology in open source tools with 1K+ GitHub stars. The price is possible because of AI native delivery and fixed scopes, not because the production layer was deleted.
Ask us the five questions
Bring the checklist from this page to the scoping call. We answer all five in writing.
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