Website-Pflichtencheckby Jurono

Make AI prototype production-ready

From demo to product: make AI prototypes closer to production.

The path from demo to product is not more prompting. It requires clean data flows, clear failure cases, security basics, tests, deployment readiness, and maintainability.

Typical problems

  • The prototype only works in the demo
  • Tests, error handling, documentation, and deployment safety are missing
  • The team does not know whether to keep building or rebuild

What is clear afterwards

  • Technical cleanup of the most important product paths
  • Better basis for launch, customer tests, or further development
  • Clear documentation of resolved and remaining risks

Process

1

Define product paths

The most important user and payment flows are defined.

2

Harden technology

Build, tests, configuration, failure cases, and security basics are prioritized.

3

Create handover

The project becomes easier to understand for further development or operation.

Matching packages

Book directly or start with an audit.

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

FAQ

Common questions

Does production-ready mean everything is finished afterwards?

No. It means the most important technical risks are reduced deliberately. The exact scope depends on the state of the project.

Do you also handle deployment?

Deployment readiness is part of production rescue. Whether a live deployment is included depends on the project.

What is the difference from the stabilization sprint?

The stabilization sprint repairs core errors. Production rescue goes deeper into architecture, tests, security, and handover.