We turn AI-built prototypes into systems you can understand, trust and keep growing — with documentation, tests and clear rules for your AI.
Talk about my productThat does not mean AI development failed. It means your prototype is ready for a real engineering foundation.
Hidden coupling only shows up after a change reaches production.
↗Your AI has to squeeze new behavior into a structure that was never designed to grow.
↗The agent rereads the codebase and rebuilds lost context every time.
↗Duplicate logic, wasteful requests and quick fixes quietly pile up.
↗System knowledge is scattered across files, prompts and one person’s memory.
↗There is no quick, reliable way to know whether existing features still work.
↗You do not need to give up AI or rebuild everything from scratch.
Not a cosmetic cleanup. A complete path from understanding to protection, structure and a confident handoff.
We document roles, flows, integrations, data and requirements in plain English — for you, your AI and your future team.
We separate responsibilities, remove duplication and create clear boundaries without adding patterns just for the sake of it.
We protect what matters to the business first: sign-in, payments, data, orders and access control.
Claude, Codex or another agent gets a clear context structure, architectural boundaries and reliable commands for checking its work.
Your AI runs the product, tests, browser or emulator and verifies the result before calling a task done.
Builds, quality checks and releases become one repeatable process instead of a stressful ritual.
We learn the business model, key user journeys and current technical state, then audit the structure, dependencies, data, security, performance and delivery setup.
We find out what is getting in the way today, what a good outcome looks like and how you want the product to feel after the work is done.
We surface risks and opportunities uncovered by the audit, then explain what is worth adding, simplifying, fixing or deliberately leaving for later.
We break the work into clear stages and give you a transparent estimate for the scope, timing and price of each one.
We confirm the final scope, timeline, cost, communication rhythm and what “done” means before work begins.
We move in small, controlled steps and keep you updated on what is done, what has been checked and what comes next.
We walk you through the result, collect feedback, make the agreed adjustments and hand over the product with its documentation.
If you want ongoing help, we support future changes, keep quality under control and maintain the processes we put in place.
Clean code is not the end goal. The real value is how differently you can work with the product every day.
AI has to relearn the project every time
AI gets a system map, clear rules and reliable checks
A small change breaks several screens
Critical flows are protected by automated tests
Logic is scattered and duplicated
Code is split into modules with clear boundaries
Requirements live in chats and memory
Decisions and behavior are captured in documentation
Every release means manual checks and anxiety
Builds and checks run automatically
When we are done, the product does not only make sense to us. You, your AI and any future developer can work with it confidently.
We do not disappear after handoff or ask you to take our word for it. You test the result in real work, and we can stay on as your engineering partner after launch.
You get 14 calendar days after implementation to use the result in real work. If you do not see an improvement, we refund the fee for the work we delivered.
Introduce us to someone with an AI-built product. When they start a project with prosto, you get 50% off your order.
Claim the offerWe can keep supporting the product: review new AI-made changes, maintain documentation and tests, help with releases and plan the next steps. Choose one-off advice or ongoing support — whatever your product actually needs.
Talk about ongoing support
We work with products that grew faster than their architecture. We do not judge how you got here. We protect the business value you have already built and give it a dependable engineering foundation.
Usually not. We first identify what can stay, what should be isolated and what is genuinely cheaper to replace. A full rebuild should be a business decision, not a reflex.
Yes. A major goal is to make AI development more predictable by giving the agent current context, clear rules, architectural boundaries and a reliable way to check its work.
No responsible engineer can promise zero bugs. We reduce their likelihood and impact by protecting critical flows with tests, automating checks and making changes in small, controlled steps.
It should not. The structure needs to fit the product’s size and direction. Our job is to remove unnecessary complexity, not introduce more of it for the sake of a pretty diagram.
You have 14 calendar days after implementation to use the result in real work. If you do not see an improvement during that time, we refund the fee for the work we delivered.
Show us the product and tell us what is making growth difficult. We will start with the risks and give you a clear next step.