Run bulk AI prompt batches automatically with OpenAI and Supabase

Sends large batches of AI requests to OpenAI overnight and stores the results in your database automatically.

How the work actually flows

It repeats. Repeats waits then rechecks status.

Pattern: Structured Loop (21)

flowchart TD trig(("user submits prompt list")):::human s0["Group and submit batch request"]:::svc s1[("Log batch job in database")]:::store s2["Wait several minutes"]:::task s3["Check if batch finished"]:::task s4[("Decode and save results")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 lp{"batch job completes"}:::gate s3 --> lp lp -. "waits then rechecks status" .-> s2 lp -->|"finished"| s4 out[/"completed AI results stored"/]:::out pay{{"bulk processing without babysitting"}}:::pay s4 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepAn outside serviceA personA record or sheetRepeat or finishResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Document Processing & OCRSpreadsheet & Database Ops
Connects
OpenAISupabase

The problem it solves

When you need AI to process hundreds of items at once, running them one by one is slow and expensive. You end up babysitting a script, checking whether it finished, and manually pulling the results together.

Who it fits

Teams that need to run AI over large lists of documents or records without paying for real-time processing.

How it works

  1. A list of prompts and instructions is submitted in bulk
  2. The prompts are grouped into a single batch request to OpenAI
  3. The batch job is logged and tracked in a database
  4. The system checks every few minutes until the batch finishes
  5. Finished results are decoded and saved back to the database
What you get

AI results waiting in your database each morning

You get large batches of AI processing run automatically and the results saved straight to your database.

What you get

A completed set of AI results stored in your database, ready to use without any manual follow-up.

What you need

An OpenAI API account and a Supabase (Postgres) database.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

Related automations

Turn uploaded PDFs into searchable AI knowledge and database records

A PDF you upload to Google Drive gets its text extracted, stored for AI search, and inserted into your SQL Server database.

Advanced

Run a WhatsApp AI assistant for pet shop bookings and questions

An AI assistant on WhatsApp that books appointments, answers questions, and understands voice and photos.

Advanced

Run a WhatsApp ordering assistant for your restaurant with AI

Customers order food on WhatsApp through an AI assistant that shows the menu, takes the order, and calculates delivery.

Advanced

Automatically turn new documents into a searchable AI knowledge base

Every new file you upload to Google Drive is automatically read and organized so your AI tools can search it instantly.

Advanced
Back to the AI Playbook