A shared ledger idea
Can it read a receipt well enough?
The doubt is whether a model reads real receipts reliably. A plain screen and a few hundred photographs settle that long before anybody builds a mobile app.
Rapid AI prototyping
Build the risky part first. The rest is just software.
There is usually one thing in an AI product that might not work, and it is rarely the interface. A prototype builds that part and nothing else, so you find out while the budget is still yours.
- Runs on your own data
- The wrapper survives the prototype
The risky partWhat might not work
An API wrapperWritten to keep
A prompt that holdsTuned on your data
Run on real recordsNot samples
An answerBuild it, or do not
What rapid AI prototyping is
Rapid AI prototyping means building the smallest working version of an AI feature to find out whether the approach holds. It is often called a proof of concept, and it exists to answer a technical question rather than to be launched. The model API, the prompt and enough interface to try it are real, and everything around them waits.
Over engineering an idea nobody has tested
The instinct with a new AI product is to build the platform first and add the intelligence at the end. That order checks the one uncertain part last. By then the answer changes what should have been built.
- 01
The uncertain part is left until last
Interfaces and accounts get built first, because that is known work and it feels like progress. The model that has to actually perform waits its turn.
- 02
Sample data would have said so
Most doubts are settled by a few hundred real records. That rarely happens before the architecture is fixed.
- 03
The demo proved the wrong thing
A polished mockup shows the idea is appealing. It does not show whether the model works.
The prototyping methodology
- 01
API first, so nothing is wasted
The wrapper around the model is written the way it would be written in production. It is the part that carries forward.
- 02
The prompt and the retrieval
Most of the work is making the model answer well on material it has never seen. That means prompt design and, where the answers live in your documents, a retrieval step.
- 03
Enough interface to use it
A plain screen somebody can put a real task through. It is deliberately unfinished.
How the first three weeks run
- Week 1
01We find the question
Two days working out which part is actually uncertain. It is often not the part the founder expected.
- End of week 2
02You get a costed plan
The plan names the prototype and what it costs. You decide whether that answer is worth buying.
- From week 3
03It gets built and run on your data
The prototype goes against real records rather than samples. What it does there is the finding.
A prototype against the full build
They answer different questions. The money goes on running the second before the first.
| Measure | A prototype | The full build |
|---|---|---|
| What it is for | Finding out whether the approach works | Serving everybody who signs up |
| What gets built | The model layer and a plain screen | Accounts, billing and the rest of it |
| What it runs on | A thin wrapper over a model API | Infrastructure sized for real load |
| How it ends | With an answer, either way | With a product to maintain |
| If the approach fails | You stop, having built one part | You have already paid for all of it |
Prototypes we can build quickly
Three questions worth settling first. In each case the prototype exists to settle one doubt.
An inventory idea
Does the scanner work on real shelves?
Vision models behave differently on a warehouse shelf. Staff try it on actual stock, and the answer decides whether the idea reaches the main system.
A community feed idea
Does moderation hold at the edges?
The obvious cases are easy, and the borderline ones decide whether it is usable at all. The prototype runs your own rules over real posts to find where the judgement breaks.
What carries forward and what does not
A prototype is allowed to be rough, but not everywhere. The parts that would be expensive to redo are written properly, right from the first day.
- The model layer carries forward
- The wrapper and the prompt go into the real build.
- The interface does not
- It exists to run the test.
- The finding is the deliverable
- You keep what was learned either way.
What a prototype is built from
Small versions of what the real thing would use. Nothing here is a research tool that has to be swapped out when the product becomes real.
- The models under test
- ClaudeReasoning over your materialGPTDrafting and classificationVision modelsWhere the input is an image
- Making it answer well
- EmbeddingsSearch across your own contentpgvectorYour documents, made searchablePythonEvaluation against real records
- Enough to try it
- ReactA plain screen to test withPostgreSQLWhere the test data sitsDockerSame everywhere it runs
What people sayNot our words.
Not our words.
Theirs.
Every quote here is a real Trustpilot review. We did choose which ones to show you. The score beside them is the part we do not control, and it counts all 29 reviews.
Trustpilot4.4out of 5Excellent29 reviews · checked 19 August 2026Read all of them
These reviews are for Appkodes, our software product division.
A Joysale client on the product and the service
He runs a marketplace built on Joysale, our Letgo style product. The clip is his own account of working with us.
A Fantacy client on the build
Fantacy is our Amazon style retail product. He goes through what was built and how the work ran.
An Airfinch client, filmed after his written review
Airfinch is our Airbnb style rentals product. He had already left the same review on GoodFirms before recording this.
A second Joysale client on the same product
Another marketplace running on Joysale. Worth watching beside the first, since the two bought the same thing.
Trustpilot
I've worked with Appkodes for 7 years on 4 different projects. We constantly require support or the implementation of new features, and we have the guarantee that the quality of their work remains the same throughout this time.
Juan VásquezSep 2025Trustpilot
Appkodes exceeded all of our expectations! From the very first contact, the team demonstrated a high level of professionalism, technical expertise, and commitment to quality.
Global SoftwinMay 2025Trustpilot
Appkodes team helped me to launch my healthcare application very quickly. Their software was very close to my requirements and adding some extra features made my project easy.
WassimApr 2025Trustpilot
I so much love your services and I will continue to patronize your company.
Kolawole Alaba JohnsonApr 2025Trustpilot
I worked with AppKodes for a website and mobile app development project, and overall, I'm very satisfied with the results. Their team was responsive and flexible throughout the process, and they delivered a product that met my expectations both in design and functionality.
Яша ФирузApr 2025Trustpilot
It was a good experience working with the team. They understood my ideas clearly and built everything as expected. The team was supportive, quick to respond, and helped me whenever I needed changes. Thank you for your hard work and support!
Prem SharmaApr 2025Trustpilot
I have got a mobile app project going on successfully with the team. Their Support is good. turn around time for any requirement is great. Every detail of my app is meticulously designed. THANK YOU APPKODES.
Fast Fiber NetworksApr 2025Trustpilot
Appkodes is a leader in developing high-quality applications and websites. It was a pleasure working with them, and this certainly won’t be our last collaboration. My experience was exceptional, they developed an outstanding app and website, with smooth and refined interactions.
BaderApr 2025Trustpilot
Overall very good experience. I have been availing services for past 3 years. They are available for discussions and resolving issues whenever we faced any. Mr. Saravana has been looking after our project and I'm very much happy with his timely response. I would definetely recommend.
Vannala RajuApr 2025Trustpilot
Initially, I was hesitant to deal with them, believing their customer service would be poor. However, I was surprised. They act with great responsibility and professional efficiency. My regards to them.
Ahmed NhariApr 2024Trustpilot
You have been supporting me very quickly in every matter, especially in the last 2 months, and this makes me very happy.
Deniz SeçerJan 2024Trustpilot
Very professional. Our project was quite complex and they covered all the aspects. Appkodes did an amazing and professional job developing and creating our Apple and Android apps. I was positively impressed with the communication you can absolutely trust on what they say.
Anu JosephJul 2023Trustpilot
Mani and Saravanan of the Appkodes team are amazing, they have done the best to create and support my project! I give them 10/10 stars for their efforts and work!
Joely CineasJul 2023Trustpilot
It was really great, they are there for me whenever I had a problem or to fix something. Thank you so much Ameer
GomezApr 2023Trustpilot
I've been working with Appkodes for almost a year and i can recommend them to work with as they are so much friendly and professional and you can clearly see it once you start your project right away. They are intact and they are transparent with their communication.
JohnFeb 2023Trustpilot
I have to be honest, sometimes it's hard to find a company or someone abroad to do your project. Not only might you waste your time and money, there is this thing called trust. In business you must trust the person you are dealing with.
Zack GizawDec 202216 of 29 reviews, plus 4 videos
Businesses we have built for
Frequently asked questions
Is the prototype code thrown away?
The interface is discarded, and the model layer underneath it is the part you keep. Wrappers and prompt work are written to production standard, because they are the parts that are expensive to redo. They go straight into the full build. The screen around them was scaffolding.
Can we put a prototype on the app stores?
Closed testing yes, public listing no. A prototype is built to answer a question, and a public listing needs the data handling and review work of a finished product. Going public is a separate piece of work and the prototype is what tells you whether it is worth doing.
What do we need to have ready before starting?
A clear problem and some real data. The problem matters more, because most prototypes fail on a question that was never sharp enough. Sample records are usually enough to begin, and they do not have to be tidy.
What is proof of concept AI development?
It is the smallest thing that settles a technical doubt. The proof of concept is not a small product, and judging it as one is the usual mistake. It is an experiment made of working software.
Is low cost AI prototype development realistic?
The cost tracks the scope, and the scope here is a single question you need answered. A prototype is cheaper than a build because it leaves out everything that is not in doubt. On most products that is nearly all of it.
How do we test AI application ideas cheaply?
Run the uncertain part on your own records. Almost every idea has one component carrying the risk. That alone, run on real data, tells you more than a design or a demo can.
Next stepLet AI do the repetitive
Let AI do the repetitive
half of the job.
Data entry, answering the same tickets, chasing numbers between systems. We automate the parts that repeat. Your team keeps the parts that need judgement.
