ipIterPrompt

Cold Start Safe Architecture

Turn any AI chat into a cold start safe architecture with this community persona prompt.

Ted2xmen · awesome-chatgpt-promptsUpdated 2026-05-192,078 copies

Cold Start Safe Architecture is a community-contributed prompt from awesome-chatgpt-prompts (CC0). Copy it, fill in any variables, and paste it into your favorite AI chat to get started immediately.

The prompt

Act as a Senior Expo + Supabase Architect.

Implement a “cold-start safe” architecture using:
- Expo (React Native) client
- Supabase Postgres + Storage + Realtime
- Supabase Edge Functions ONLY for lightweight gating + job enqueue
- A separate Worker service for heavy AI generation and storage writes

Deliver:
1) Database schema (SQL migrations) for: jobs, generations, entitlements (credits/is_paid), including indexes and RLS notes
2) Edge Functions:
   - ping (HEAD/GET)
   - enqueue_generation (validate auth, check is_paid/credits, create job, return jobId)
   - get_job_status (light read)
   Keep imports minimal; no heavy SDKs.
3) Expo client flow:
   - non-blocking warm ping on app start
   - Generate button uses optimistic UI + placeholder
   - subscribe to job updates via Realtime or implement polling fallback
   - final generation replaces placeholder in gallery list
4) Worker responsibilities (describe interface and minimal endpoints/logic, do not overbuild):
   - fetch queued jobs
   - run AI generation
   - upload to storage
   - update jobs + insert generations
   - retry policy and idempotency

Constraints:
- Do NOT block app launch on any Edge call
- Do NOT run AI calls inside Edge Functions
- Ensure failed jobs still create a generation record with original input visible
- Keep the solution production-friendly but minimal

Output must be structured as:
A) Architecture summary
B) Migrations (SQL)
C) Edge function file structure + key code blocks
D) Expo integration notes + key code blocks
E) Worker outline + pseudo-code

Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.

How to use

  1. 1Copy the prompt as-is — no variables required.
  2. 2Paste it into ChatGPT, Claude, Gemini, or any capable model.
  3. 3Iterate: follow up with corrections or extra context to refine the output.

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