Process large batches of AI prompts automatically with Claude

Sends many prompts to Claude at once and returns each result separately, instead of one at a time.

How the work actually flows

It repeats. Repeats recheck until batch finishes; runs once per each prompt in batch.

Pattern: Structured Loop (21) ยท Multiple Instances without Synchronization (12)

flowchart TD trig(("user submits prompt batch")):::human s0["submit prompts as batch"]:::svc s1["wait for batch processing"]:::task s2["check completion status"]:::svc s3[["match results to prompts"]]:::mi trig --> s0 s0 --> s1 s1 --> s2 lp{"batch marked complete"}:::gate s2 --> lp lp -. "recheck until batch finishes" .-> s1 lp -->|"finished"| s3 out[/"individual results returned per prompt"/]:::out pay{{"runs large prompt batches unattended"}}:::pay s3 --> 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 serviceRuns once per itemA personRepeat or finishResultPayoff
Build size
Advanced

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

Business functions
Knowledge Base & RAGAPI & Webhook Integration
Connects
Anthropic Claude

The problem it solves

Running dozens or hundreds of prompts through an AI model one at a time is slow and easy to lose track of. If you are generating content or answers in bulk, sequential requests can take far longer than necessary. Keeping results organized by which prompt they belong to gets messy fast.

Who it fits

Content teams, researchers, and developers who need to run AI on many prompts at once.

How it works

  1. A batch of prompts is prepared and sent as a single request
  2. The prompts are submitted together to Claude's batch processing
  3. The system checks for completion and retrieves the results
  4. Each result is returned separately, matched to its original prompt
What you get

Prompts processed in bulk without manual queuing

You can send hundreds of prompts to Claude at once and get every result matched back to its original request.

What you get

A set of individual AI-generated results, one for each prompt submitted in the batch.

What you need

An Anthropic API account.

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

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