Classify and tag incoming leads using AI text analysis

When a new lead is captured in Hive.co, run their submission details through VLM Run to classify intent and apply appropriate tags in Hive.co.

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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.

Hive.co Explore Hive.co →

Triggers

New lead captured

Fires when a new lead or contact is captured in Hive.co.

Contact enters a workflow

Fires when a contact enters an automation in Hive.co.

Contact updated

Fires when a field on a contact changes in Hive.co.

Contact unsubscribed

Fires when a contact unsubscribes in Hive.co.

Actions

Create or update a contact

Creates or updates a contact in Hive.co.

Add a contact to a campaign

Adds a contact to a workflow or campaign in Hive.co.

Send a message

Sends an email or message to a contact via Hive.co.

Apply or remove a tag

Changes a contact's tags in Hive.co.

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.

Generate personalized messaging for campaign contacts When a contact enters a workflow in Hive.co, use VLM Run 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 VLM Run, automatically update contact records in Hive.co to apply updated classification rules across leads. See details

See all Hive.co + VLM Run 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 Hive.co and VLM Run?

Yes — describe it in the box above and Knit's Integrations Agent researches Hive.co 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 models enhance marketing automation campaigns?

By processing incoming lead details through VLM Run, you can generate personalized email copy, classify lead intent, or summarize notes in Hive.co.

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

Yes, when a new lead is captured in Hive.co, AI capabilities in VLM Run can extract key insights and apply accurate tags to the contact record.