Agency partner review
Behind-the-Scenes Technical Review Partner for Agencies
When a client brings a failed AI-built, no-code, or unstable MVP, I help your team decide whether to fix, rebuild, or pause before more budget is spent.
I work behind the scenes on failed or unstable AI-built, Bubble, no-code, Cursor, Lovable, Replit, and Supabase-based MVPs. You keep the client relationship. I provide a private diagnostic note your team can use before committing to implementation, rebuild, or migration work.
Who this is for
No-code and Bubble agencies
AI automation agencies
MVP studios
Freelancers with client relationships
Webflow / product teams asked to rescue broken builds
Consultants who need a second technical opinion
When partners use this
- A client brings a broken AI-built app and asks if it can be saved.
- A no-code MVP is unstable and the cause is unclear.
- A project works locally but fails online.
- Auth, database, Supabase, RLS, deployment, or payment flow keeps breaking.
- The agency needs to decide whether to accept, repair, rebuild, or decline the project.
What I deliver
- Fix vs rebuild judgment
- Failure layer diagnosis
- Safe next-step sequence
- What not to touch first
- Partner-facing explanation
- Client-ready diagnostic summary
What I do not do
- I do not take over your client.
- I do not compete with your development work.
- I do not offer cheap random bug fixing.
- I do not join endless sales calls.
- I do not promise a fix before the failure layer is known.
- I do not hide uncertainty when the project is structurally unsafe.
How the workflow works
- 1. You send the project context.
- 2. I review the structure privately.
- 3. You receive a diagnostic note.
- 4. You decide how to present it to your client.
Partner flow
How partner collaboration works
You keep the client relationship. I provide the diagnostic layer so you can decide whether to implement, rebuild, migrate, or advise with less risk.
You keep the client. I provide the diagnostic layer. No API keys, production secrets, or customer data required.
Simple first-case model
For the first case, the goal is to test whether this review layer is useful in your workflow. You can keep the client relationship and package the review under your own process.
Partner case
Have a stuck AI-built app case?
Send one safe case. I’ll review whether it fits the Fix-or-Rebuild Review format and whether the diagnostic layer is useful for your client workflow.
No API keys, production secrets, customer data, or private repo access required.