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MuscleMentor

Rescuing a Failing AI Core Feature

To perform a rapid root-cause analysis and execute a reliable fix to restore the platform's core AI functionality as quickly as possible.

Timeline

2-3 months

Team

2-3 developers

Budget

$50,000

Results

2

M

The Challenge

The client's core product was completely non-functional. Their main value proposition—AI-generated fitness plans—was failing, leading to a surge in support tickets and a loss of all business momentum.

Our Solution

To perform a rapid root-cause analysis and execute a reliable fix to restore the platform's core AI functionality as quickly as possible.

Technologies Used

Supabase Edge Functions (Deno/TypeScript)OpenAI API

Key Results

Restored the client's confidence in their own product.
Demonstrated our ability to solve critical infrastructure problems under pressure.

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