What 197 Fiverr reviews say about hiring someone to fix an AI-built app

The short answer

197reviews read, duplicates removed

93different buyers behind them

98%were 5 stars. None below 4

52%of buyers came back (48 of 93)

I read the most recent reviews on the gigs of all seven sellers on the fix or finish an AI-built app shortlist: 197 different reviews from 93 different buyers. Two numbers stand out.

Half the orders were over $1,000, and a quarter were under $100. The two middle bands together were only a quarter. Fixing an app someone built with Claude Code, Cursor, Lovable, Bolt or Replit tends to be either a quick repair or a real project.

Three in four reviews came from buyers who ordered more than once. 48 of the 93 buyers came back, and they wrote 152 of the 197 reviews. So the review page on these gigs mostly reflects ongoing work for clients who stayed. It tells you much less about how a first order goes. The practical answer is to make the first order small enough that you can judge it yourself.

How the reviews were read

• Sellers: the five Fiverr Pro and two up-and-coming sellers on the AI-built app page, one gig each.
• Reviews: the reviews Fiverr shows first on each gig, up to 35 per seller after removing duplicates (Fiverr loads some reviews twice when you expand the list). This is Fiverr’s own ordering, not a random sample.
• Read for: the price band and duration Fiverr prints under each review, which buyer each review came from, the rating, and the words used. 9 reviews had no readable duration.
• Not used: buyer names and quotes.

The same method was used for workflow automation and chatbot sellers, so the three jobs can be compared.

What buyers paid

What 197 app-fixing orders cost, and how long they took

Share of reviewed orders, by the price band and duration Fiverr prints under each review.

Order price

Under $10025% $100–$40014% $400–$1,00011% Over $1,00050%

Time to deliver

1–3 days33% 4–7 days28% 8–14 days20% 15+ days19%

See the price numbers as a table

Order price (Fiverr band)	Share of reviewed orders
Under $100	25%
$100–$400	14%
$400–$1,000	11%
Over $1,000	50%

Compare that with automation, where the middle band ($100–$400) was the biggest at 39% and only 12% of orders passed $1,000. Here the middle is thinner and the top is much heavier.

The two ends are likely different jobs. A small order is typically a single, well-defined fix: a broken login, a deploy that fails, one page that crashes. A large one is typically making an app hold up with real users, adding features, or rebuilding the parts the AI tool got wrong. The job page puts the usual starting package at $100 to $250 and notes that it covers a scoped fix or a review, while making a whole app production-ready is quoted per project. If your app needs the second kind, expect a custom quote well above the starting price.

How long it took

See the duration numbers as a table (chart above)

Duration printed on the review	Share of orders with a duration shown (188)
1–3 days	33%
4–7 days	28%
8–14 days	20%
15 days or more	19%

Three in five orders were finished within a week, which is faster than the price table suggests. One likely reason is the repeat pattern below: a returning buyer is often ordering the next piece of an app the developer already knows, and that goes quickly. Your first order will include the time the developer needs to read code they did not write, and code written by an AI tool is often long and repetitive. Budget for that.

Most reviews come from buyers who came back

Reviews per seller, and how many came from returning buyers

From buyers who ordered againFrom one-time buyers

Muhammad Tariq28 of 29 Zenkoders28 of 33 Teamseven28 of 35 Haseeb R25 of 35 Corpsoft22 of 35 Ali17 of 20 Amish Sohail4 of 10

See the per-seller numbers as a table

Seller	Reviews read	Different buyers	Buyers who ordered again	Reviews from those buyers
Zenkoders	33	16	11	28
Corpsoft	35	21	8	22
Teamseven	35	15	8	28
Haseeb R	35	18	8	25
Muhammad Tariq	29	7	6	28
Ali	20	8	5	17
Amish Sohail	10	8	2	4

Across all seven, 52% of buyers came back, against 17% for automation sellers and 33% for chatbot sellers. That is a good sign about the work: people who hand an app to a developer and see it fixed tend to keep that developer. It fits the job too. An app is never finished; after the fix comes the next feature.

It also changes how to read the ratings. 193 of 197 reviews were 5 stars (98%), and the lowest was 4. Three in four of those reviews were written by buyers who ordered more than once, so they reflect relationships that continued. A buyer whose first order went badly is unlikely to come back, so they appear at most once. The review page is weighted towards relationships that worked.

Muhammad Tariq is the clearest case: 29 reviews from 7 buyers, with one buyer writing 9 of them. That is a strong sign that those clients are happy, and a weak sign about how many different people have tried this seller.

None of this makes the sellers worse picks. It means the reviews cannot do the job of a first order for you.

Make the first order a trial

The way round it is to make your first order small, scoped and testable, then decide on the bigger work with evidence of your own.

Make the first order a trial, then quote the big job

A trial should sit near the starting packages: under $100 to about $250.

1. Pick one problemIdeally the one that touches login or payments.
2. Use your repositoryThe developer works in code on your account. No "send a zip and wait".
3. Test it yourselfYour reproduction steps on the live site, plus the note that comes with the fix.
4. Then ask for the quoteThey have read your code; you have seen how they work.

1. Pick one of your problems, not all of them. The brief on the job page asks for your top three problems, each with steps to reproduce. Order a fix for one of them first, ideally the one that touches something sensitive such as login or payments.
2. Give access to the code on your own account. The repository should be yours, and the developer works in it. If they ask you to send a zip and wait, that is the pattern that leaves you with an app nobody else can maintain.
3. Judge the result by your own reproduction steps on the live site, as the acceptance list says, and read the note that comes with the fix. A good first order ends with a fix you can see and an explanation you can follow.
4. Then ask for the larger quote. By now the developer has read your code and can quote the production-ready work properly, and you have seen how they work.

A trial like this should sit near the starting packages, under $100 to about $250, and it tells you more than any number of 5-star reviews written by other people on their repeat orders.

What buyers praised

What buyers praised, across 197 reviews

Share of reviews using words in each group. One review can count in several.

Communication1 in 4 Fast delivery1 in 4 Knew the tools1 in 5 Would hire again1 in 8 Understood what I needed1 in 11 Mentioned a bug or fix1 in 16

Communication comes first here, where automation buyers put expertise first. That fits the job: on an app, the buyer usually cannot check the code, so what they can judge is whether the developer explained what was wrong, what they changed and what is still risky. Ask for a short note with every fix, as the hand-back line in the brief does, and a list of what was and was not checked for security, as the acceptance line does.

What the reviews cannot tell you

A review is written when the order closes. It cannot tell you whether the fixed login stays secure, whether the next deploy works without the developer, or whether you can run the app if the developer disappears. Those are acceptance questions. Before the final payment on anything larger than a single fix, check that every change is in your repository, that you can deploy one small change yourself from the README, and that you have a written list of what was checked for security and what was not. The acceptance checklist covers the same idea for anything that has to run without you watching.