Speak Ai

Speak Ai Integrations, Built by an AI Agent

Put Speak Ai to work with AI and enterprise-grade automation

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No Speak Ai connector? The Agent builds one.

Web search for Speak Ai's public API docs, or hand over your own — either way, the Agent researches the real API surface and ships a working connector.

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Not a block library. Real code.

Legacy automation tools like Zapier, Workato, and Make hand you a fixed library of pre-built steps to drag, drop, and configure around the edges. Knit's Integrations Agent writes real, custom Speak Ai integration code for your exact logic.

Legacy iPaaS

  • Fixed library of pre-built steps — drag, drop, configure around the edges
  • Capped by whatever the vendor's already built
  • AI features bolted on after the fact

Knit Integrations Agent

  • Real, inspectable code for your exact Speak Ai logic
  • Auto-builds a missing Speak Ai connector itself
  • Native LLM connectors built in, not bolted on
Prompt "When a message is received in Broadvoice, analyze message audio or text using Speak Ai."
from knit import Knit

client = Knit(api_key=KNIT_API_KEY)

@client.on("new-captions-in-srt-or-vtt")
def upload_file_to_transcribe_and_analyze(event):
    return client.ai_meeting_notetakers.upload_file_to_transcribe_and_analyze(
        integration_id=SPEAK_AI_INTEGRATION_ID,
        record_id=event["id"],
        fields={
            "source": "Speak Ai",
            "synced_at": event["updated_at"],
        },
        # ...maps the event to a real "Upload File to Transcribe and Analyze" call
    )

Example: illustrative of what the Agent generates from a plain-English prompt — real, inspectable, and yours to edit.

Skip the engineering. Ship the workflows.

See what you can build with Speak Ai on Knit

Browse all workflow recipes →

See the APIs & webhooks enabling Speak Ai Integrations

The real endpoints Knit's Agent can call to turn a plain-English use case into working Speak Ai Integration code

New Captions in SRT or VTT

Triggers when a new automatic transcription is ready and export captions in SRT or VTT format.

New AI Chat Response

Triggers when a new Speak AI Chat response is available in your Speak account.

New Recording Captured

Triggers when a new recordings comes in from your recorder

New Sentiment Analysis

Triggers when sentiment analysis is ready

New Automated Transcription

Triggers when a new automatic transcription is ready.

Upload File to Transcribe and Analyze

Uploads new audio or video files for automatic transcription and analysis.

Upload Text Note to Analyze

Uploads new text notes for automatic insight analysis.

Run AI Chat

Run an AI Chat with your folder data

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See all AI Meeting Notetakers Connectors

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FAQ

Common questions about the Speak Ai automation

Is there a pre-built Speak Ai automation?

Not yet — Speak Ai isn't in Knit's Unified API or MCP Servers catalog today, so there's no pre-built connector for it either. The Integrations Agent can build the real automation (and the connector powering it) on demand instead of you waiting on our roadmap.

How does the Agent actually build the Speak Ai connector?

It researches Speak Ai's real public API documentation — authentication, endpoints, data schema — and writes a working connector against that real surface. You can also upload your own docs if Speak Ai's aren't public.

How long does it take?

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

What happens after the Agent builds it?

You own it. It runs the same way any Knit-built connector does — you are not left maintaining hand-rolled integration code yourself.

Could Speak Ai become a real pre-built connector later?

Yes — as apps get built and used through the Agent, the highest-demand ones are natural candidates to join the pre-built Unified API/MCP Servers catalog directly.

See all FAQs

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