Andreality

AI Cleanup Service

Turn your AI prototype into a launch-ready product

Built something with ChatGPT, no-code or "vibecoding" and now it's held together with duct tape? I help founders and teams clean up their AI apps, fix the architecture, and get them ready for real users.

Andrea working on AI projects

Is your AI app secretly a pile of scripts?

Most AI projects start fast: copy some code from ChatGPT, plug in an API, ship it. It works… until more users join, something breaks, and nobody wants to touch the code.

You've glued together prompts, APIs, and tools, and you're afraid to change anything.

You already have users, but every new signup feels risky.

You can't explain your architecture to a teammate. Because there isn't really one.

Errors appear randomly, and you have no logs or monitoring to see why.

OpenAI / API costs are rising and you don't know what's actually being used.

You want to move from 'this is a cool demo' to 'this is a product we rely on' fix.

What's included in an AI Cleanup

We don't rewrite everything from scratch. We identify what's working, what's risky, and turn your current app into a solid base you can safely grow on.

Step 1

Audit & map

  • Understand how your app works today (codebase, prompts, APIs, data).
  • Identify technical debt, bottlenecks, and risks.
  • Deliver a clear technical map of your "current reality".

Step 2

Design a stable foundation

  • Propose a simple, robust architecture suited to your stage.
  • Plan environments (dev / staging / production).
  • Define where AI is essential vs. where normal code is enough.

Step 3

Refactor & harden the core

  • Clean up the most critical parts of the codebase.
  • Add error handling, logging, and basic tests where it matters.
  • Improve performance and reduce unnecessary token usage.

Step 4

Prepare for real users

  • Implement sensible rate limits and basic security checks.
  • Set up monitoring and alerts for critical failures.
  • Document how to run, deploy, and extend the app + Loom walkthrough.

From "don't touch it" to "we can ship"

Case Study

Solo founder with a fragile internal tool

Built an AI tool in 3 weeks using ChatGPT and copy-paste code. App broke every time a new team member logged in.

After cleanup

Clear separation between frontend, backend and AI layer

Authentication fixed, role-based access added

Errors logged properly and visible in a dashboard

Case Study

Startup with high AI costs

Small team used GPT-4 everywhere, leading to high latency and monthly costs.

After cleanup

Cheaper models used for 80% of calls

Caching for repeated prompts and responses

Significant reduction in AI spend while keeping quality where it matters

About

Andrea Giannini profile picture

Ciao! I am a Full Stack Developer, UI Designer and Tech Consultant with a passion for new technologies.

Originally from Rome 🇮🇹, now based in Valencia 🇪🇸 where I bring my projects to life.

For almost a decade I've been building web and mobile apps focused on creativity and multimedia.

Recently, I have lead development and co-founded Sumo and Leoblocks platforms that push the boundaries of creativity and education.

With these startups I’ve collaborated with Google and Samsung on distribution and device campaigns, helped Sumo reach the #1 hottest startup spot in Finland twice, and scaled the platform to over 1M monthly active users.

I’m currently working on Immersive, a platform designed to connect entrepreneurs and investors in Spain’s thriving tech ecosystem.

I’m focused on building reliable and innovative solutions that help businesses and individuals achieve their goals.

Tell me about your AI app

Share a short description of your product, stack, and the main issues you're facing. I'll reply personally and let you know if an AI Cleanup is the right fit.