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Performance

Batch Processing Queue

Line up many AI jobs with per-item status, reorder, pause, and ETA. Notify when background queues finish so people can close the tab safely.

Interactive demo

Batch Processing Queue
Process Image 1
Process Image 2
Process Image 3

Overview

How might we design batch processing queue so people can trust and act on AI output?

When to use

  • Ideal for data processing workflows, bulk operations, and applications where queuing multiple AI requests improves efficiency and resource utilization.

When to skip

  • Single interactive chat turns.
  • Queues with no rate limit visibility on shared APIs.
  • Jobs with hard ordering dependencies shown as parallel.

Rules

  • Queue UI with no failed item retry.

  • Cancel all with no confirm on large batches.

  • No notification when background queue completes.

  • Estimated time wildly wrong with no update.

Evidence

ProductImplementation
Image processing toolsOvernight upscale queues with email done.
Data analysis platformsBatch inference jobs with job IDs.
API batch endpointsOpenAI-style batch API status pages.
Automation toolsRun history with retry on failed steps.

FAQ

Queue vs batch input processing?

Same user mental model: input is submit many; queue is track execution.

Priority controls?

Let users bump urgent rows and pause lower priority segments.

Background run?

Allow close tab with email or in-app notify on completion.

Cost display?

Show running total and estimate before start.