Website-Pflichtencheckby Jurono

For founders, solo founders, and small teams with AI prototypes

AI built the prototype. I turn it into code that holds.

ChatGPT, Cursor, and Claude get you to a demo quickly. The problem comes afterwards: broken imports, missing architecture, unsafe secrets, unclear data flows, and features that only work on the happy path. I find the breakpoints and repair the important ones.

Typical symptoms

When AI code gets expensive

1The project worked once, but after three prompts the build is broken.
2Imports, environment variables, database access, and API routes do not fit together.
3The interface looks finished, but real user flows break.
4Nobody knows which parts matter and which parts are just AI noise.

Build

Check

Architecture

Triage

Fix plan

Prioritized

Positioning

Not a cheap prompt service. Senior repair for projects where a demo already exists but technical substance is missing.

Pricing logic

Fixed prices instead of time sheets: customers buy clarity, stability, and a viable next step.

Promise

Not: rebuild everything. Instead: find what is salvageable, remove the most dangerous errors, and make the project manageable again.

Packages

Diagnosis first. Then targeted repair.

The prices are calculated as senior fix packages: enough scope for real analysis and repair, but small enough to create clarity before a complete rewrite.

AI Code Triage

When the project starts, but nobody knows why it keeps breaking.

390

Code review, build/import check, and rescue plan within two business days.

  • Repository check for broken imports, missing packages, and build errors
  • Assessment: repair, restructure, or discard
  • Prioritized fix list with effort estimate
  • No implementation included
Triage code
Recommended

Stabilization Sprint

For prototypes that almost work but are not reliable yet.

1,490

Triage plus up to ten hours of targeted repair and stabilization.

  • Repair build, routing, and core errors
  • Turn unclear AI structure into understandable modules
  • Clean up basic error handling and configuration
  • Short technical handover with next steps
Start sprint

Production Rescue

When an AI prototype needs to become a real product.

3,900

Multi-day cleanup for architecture, security, tests, and deployment readiness.

  • Clean up architecture and data flow
  • Defuse security risks, secrets, and API errors
  • Establish tests, typecheck, and build pipeline
  • Deployment readiness and documentation for further development
Plan production rescue

Code Guidance

Ongoing senior control while you continue developing with AI.

790/month

Monthly allowance for reviews, small fixes, and technical guardrails.

  • Up to five hours of review or fixes per month
  • Pull request or repository checks
  • Validate architecture and tooling decisions
  • Ideal for founders with ongoing AI prototyping
Start guidance

Process

1

Secure repository

I review structure, dependencies, build, runtime errors, and critical paths.

2

Limit damage

Broken imports, wrong configuration, dead files, and fragile AI shortcuts become visible.

3

Repair deliberately

Depending on the package, I stabilize core flows, architecture, tests, and deployment readiness.

Stabilize instead of guessing

An AI prototype is not a lost project. But it needs grown-up engineering.

If you already invested time in the prototype, a hard technical triage is usually worth doing first. Afterwards it is clear what should be repaired and what should be rebuilt.

Start rescue

More focus areas