Summarize call recordings automatically

When a new call recording becomes available in Pipes.ai, pass the transcript to VLM Run to extract key takeaways and summary points.

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Pipes.ai Explore Pipes.ai →

Triggers

New inbound SMS

Fires when a new text message is received in Pipes.ai.

New call

Fires when a new call comes in or out through Pipes.ai.

Missed call

Fires when a call is missed in Pipes.ai.

Call recording ready

Fires when a call recording finishes processing in Pipes.ai.

Actions

Send an SMS or MMS

Sends a text message through Pipes.ai.

Place an outbound call

Starts an outbound call via Pipes.ai.

Create or update a contact

Creates or updates a contact in Pipes.ai.

Send a voice message

Sends a recorded voice message via Pipes.ai.

VLM Run Explore VLM Run →

Triggers

New completion generated

Fires when VLM Run generates a response to a prompt.

Model run failed

Fires when a request to VLM Run errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in VLM Run finishes.

Actions

Generate a completion

Sends a prompt to VLM Run and returns the model's response.

Summarize text

Uses VLM Run to summarize a block of text.

Classify or extract data

Uses VLM Run to classify or extract structured data from text.

Send urgent text alerts on failed model runs When a model run fails in VLM Run, instantly send a text message via Pipes.ai to notify the engineering team. See details

Auto-reply to inbound text messages with AI When an incoming text message arrives in Pipes.ai, use VLM Run to generate an intelligent answer and send it back to the customer. See details

See all Pipes.ai + VLM Run integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Summarize call recordings automatically” between Pipes.ai and VLM Run?

Yes — describe it in the box above and Knit's Integrations Agent researches Pipes.ai and VLM Run's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

How can AI enhance automated SMS responses?

When customers text your business, VLM Run can process the incoming message, extract key insights, or generate an intelligent reply, which Pipes.ai then sends directly back to the customer.

Can I get text alerts when an AI job encounters an error?

Yes, whenever a run fails in VLM Run, an automated alert can be dispatched through Pipes.ai so your team can investigate immediately.