Classify and tag incoming leads using AI text analysis

When a new lead is captured in ActiveDEMAND, run their submission details through API Labz to classify intent and apply appropriate tags in ActiveDEMAND.

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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.

API Labz Explore API Labz →

Triggers

New completion generated

Fires when API Labz generates a response to a prompt.

Model run failed

Fires when a request to API Labz errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in API Labz finishes.

Actions

Generate a completion

Sends a prompt to API Labz and returns the model's response.

Summarize text

Uses API Labz to summarize a block of text.

Classify or extract data

Uses API Labz to classify or extract structured data from text.

ActiveDEMAND Explore ActiveDEMAND →

Triggers

New lead captured

Fires when a new lead or contact is captured in ActiveDEMAND.

Contact enters a workflow

Fires when a contact enters an automation in ActiveDEMAND.

Contact updated

Fires when a field on a contact changes in ActiveDEMAND.

Contact unsubscribed

Fires when a contact unsubscribes in ActiveDEMAND.

Actions

Create or update a contact

Creates or updates a contact in ActiveDEMAND.

Add a contact to a campaign

Adds a contact to a workflow or campaign in ActiveDEMAND.

Send a message

Sends an email or message to a contact via ActiveDEMAND.

Apply or remove a tag

Changes a contact's tags in ActiveDEMAND.

Generate personalized messaging for campaign contacts When a contact enters a workflow in ActiveDEMAND, use API Labz to generate custom text completions that tailor outreach messages to the user. See details

Update lead scores when AI fine-tuning completes When a fine-tune job completes in API Labz, automatically update contact records in ActiveDEMAND to apply updated classification rules across leads. See details

See all API Labz + ActiveDEMAND integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Classify and tag incoming leads using AI text analysis” between API Labz and ActiveDEMAND?

Yes — describe it in the box above and Knit's Integrations Agent researches API Labz and ActiveDEMAND'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 models enhance marketing automation campaigns?

By processing incoming lead details through API Labz, you can generate personalized email copy, classify lead intent, or summarize notes in ActiveDEMAND.

Can AI classify lead categories automatically when new contacts sign up?

Yes, when a new lead is captured in ActiveDEMAND, AI capabilities in API Labz can extract key insights and apply accurate tags to the contact record.