# AI Product Rescue

Separate what should be repaired from what should be rebuilt. A stalled MVP, inherited or agent-generated repository, vendor handover, failed launch, or demo that cannot survive production.

- **Canonical URL:** https://vidhata.me/services/ai-product-rescue
- **Author:** Vidhatanand V. (Vid)
- **Role:** Fractional CTO and AI Systems Architect

## When this fits

A stalled MVP, inherited or agent-generated repository, vendor handover, failed launch, or demo that cannot survive production.

## How I would approach it

I would first stop the guessing. We would reproduce the failures, recover the real system state, and find out whether the problem sits in the model, the workflow, the data, the codebase, or the product contract. I will preserve what is sound, replace what is not, and leave the team with a system they can understand after the rescue ends.

## Useful artefacts, not ceremonial deliverables

### Forensic diagnosis

A reproducible account of the failure and the product promise it breaks.

### Stabilisation and recovery plan

Immediate containment, recoverable state, and an explicit repair-versus-rebuild choice.

### Critical-path implementation

Hands-on work where evidence, not another recommendation, is needed to move forward.

### Handover evidence and operating guardrails

Tests, run paths, decisions, and controls the team can use after the rescue.

## Other ways to work together

- [Fractional CTO for AI Products](https://vidhata.me/services/fractional-ai-cto)
- [Seven-Day Production Prototype](https://vidhata.me/services/seven-day-production-prototype)
- [Architecture & Reliability Audit](https://vidhata.me/services/architecture-reliability-audit)
- [Technical Due Diligence](https://vidhata.me/services/technical-due-diligence)

## Work with Vid

Start with the actual technical pressure: [bring the problem](https://vidhata.me/hire).