ActionAssemblyAIUpdated September 2026

How do I run an LLM task on an AssemblyAI transcript?

Short answer: You can lemur task on transcript in AssemblyAI by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the AssemblyAI LeMUR Task on Transcript action to a workflow, map its 4 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

LeMUR Task on Transcript in AssemblyAI — start free All 3 AssemblyAI actions

LeMUR Task on Transcript in AssemblyAI — start free

Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

Field	Type	Required	Description
Transcript IDs transcript_ids	array	Required	Array of completed transcript ids
Prompt prompt	string	Required	Summarize the call in 3 bullets and list action items
Model final_model	options	Optional	Model. Options: Claude Sonnet 4.5 (best), Claude Haiku 3.5, GPT-4o
Max Output Size max_output_size	string	Optional	Max Output Size

Sample request

{
  "transcript_ids": "{{trigger.transcript_ids}}",
  "prompt": "Summarize the call in 3 bullets and list action items",
  "final_model": "{{trigger.final_model}}",
  "max_output_size": "{{trigger.max_output_size}}"
}

Returns

{
  "usage": {
    "input_tokens": 1000,
    "output_tokens": 200
  },
  "response": "Summary: ...",
  "request_id": "req_abc"
}

Use these fields in downstream nodes for routing, logging, or error handling.

Triggered by

Apps that pair well as the trigger for LeMUR Task on Transcript.

Any of these apps can fire this action as part of a workflow.

Google Sheets → AssemblyAI

2 Google Sheets triggers

HubSpot → AssemblyAI

18 HubSpot triggers

FAQ

Questions about LeMUR Task on Transcript.

What does the LeMUR Task on Transcript action do in AssemblyAI?

Runs an LLM task (summarise, Q&A, extract structured data) against one or more completed transcripts. Saves the chain of "fetch transcript → LLM call" by bundling both server-side. Useful for "summarise this call, extract action items as JSON" post-call workflows.

What inputs does LeMUR Task on Transcript require?

Required: Transcript IDs, Prompt. Every input accepts a static value or a variable from any upstream node in your workflow.

Can I use dynamic inputs from earlier workflow nodes?

Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.

What happens if AssemblyAI returns an error?

The run history shows the failed step with its input and the error message AssemblyAI returned, so you can fix the input and run the workflow again. Automatic retries are built into HTTP steps only, where you can also set your own retry count and delay.

Does LeMUR Task on Transcript support batch operations?

Run LeMUR Task on Transcript inside a loop to process each item in an array. TinyCommand does not throttle calls for you, so for large arrays add a Delay step if you need to stay within AssemblyAI's rate limits.

More actions

Other AssemblyAI actions.

Action

Get Transcript

Returns the transcript by ID with the full text, word-level timestamps, speaker labels (if diarization was on), sentiment per utterance (if enabled), and the AI-generated summary. Poll until status=completed or pair with the transcript-ready webhook.

Action

Transcribe Audio

Submits an audio URL for transcription with options for speaker diarization, language detection, sentiment analysis, PII redaction, custom vocabulary. Returns the transcript ID; processing takes ~25% of audio duration on the Best tier.

LeMUR Task on Transcript in AssemblyAI — start free