Notify team members when model fine-tuning finishes

When a custom training job completes in Unifire, send a direct message in WhatsApp Notifications to notify the team lead that the new model is ready.

Try:

See all WhatsApp Notifications + Unifire integrations or talk to a human

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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.

WhatsApp Notifications Explore WhatsApp Notifications →

Triggers

New message posted

Fires when a new message is posted to a channel in WhatsApp Notifications.

New channel created

Fires when a new channel is created in WhatsApp Notifications.

Mentioned in a message

Fires when your team or a keyword is mentioned in WhatsApp Notifications.

New file shared

Fires when a new file is shared in WhatsApp Notifications.

Actions

Send channel message

Posts a message to a channel in WhatsApp Notifications.

Send direct message

Sends a direct message to a specific person in WhatsApp Notifications.

Add reaction

Reacts to a message in WhatsApp Notifications.

Invite user to channel

Adds a user to a channel in WhatsApp Notifications.

Unifire Explore Unifire →

Triggers

New completion generated

Fires when Unifire generates a response to a prompt.

Model run failed

Fires when a request to Unifire errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Unifire finishes.

Actions

Generate a completion

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

Summarize text

Uses Unifire to summarize a block of text.

Classify or extract data

Uses Unifire to classify or extract structured data from text.

Post instant alerts for failed model runs When an execution fails in Unifire, automatically post an alert message to your engineering channel in WhatsApp Notifications so developers can investigate right away. See details

Automatically summarize files shared in chat When a team member uploads a document in WhatsApp Notifications, pass its contents to Unifire to generate a concise summary and post it back to the channel. See details

See all WhatsApp Notifications + Unifire integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Notify team members when model fine-tuning finishes” between WhatsApp Notifications and Unifire?

Yes — describe it in the box above and Knit's Integrations Agent researches WhatsApp Notifications and Unifire'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 connecting Unifire to WhatsApp Notifications help our team respond to incoming questions faster?

You can set up workflows that route incoming chat messages from WhatsApp Notifications into Unifire to generate automated summaries or suggested answers directly in your team channels.

Will engineering teams know if an AI process encounters an error?

Yes, when an execution fails in Unifire, an alert message can immediately be sent to your team's dedicated channel in WhatsApp Notifications.