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Notis

Screen incoming WhatsApp content before it reaches your team

Give your team a quick safety signal on user-submitted text or images before they decide what to do next.

Trigger

Webhook received

Notis starts this workflow when an external tool or custom backend sends an HTTP request.

Action

Moderation Completion

Tool to classify input text or image for safety using a moderation model. use after receiving user-generated content to filter out unsafe material.

Why this helps

Manually checking every new message or image can slow response and make it harder to spot content that needs attention.

  • Classify incoming text or images for safety with a moderation model.
  • Surface content that may need human review.
  • Keep moderation in the flow of incoming WhatsApp conversations.

Setup

Build it in a few focused steps.

  • 1Connect 2chat and Ai ml api once in the Notis portal.
  • 2Create an automation and tell Notis to classify incoming WhatsApp text or images for safety.
  • 3Describe what the team should do with content that may be unsafe in one instruction.
  • 4Choose a Notis webhook trigger and select where run reports should go.
  • 5Test with one real example, such as a submitted message or image.

Questions about this workflow

Can moderation guarantee that unsafe content is caught?

No. Treat the classification as a signal for review, not a guarantee or a replacement for human judgment.

Can it review images as well as text?

The Moderation Completion action supports classifying input text or image for safety. The input must be available to the automation.

When this happens · Trigger

Do this · Action

Supported Triggers and Actions

Notis builds workflows that link 2chat to Ai ml api. A trigger fires from one place; an action lands in another.

2chat triggers

Ai ml api actions

Recurring trigger

Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.

TriggerScheduled

Moderation Completion

Tool to classify input text or image for safety using a moderation model. use after receiving user-generated content to filter out unsafe material.

ActionInstant

Webhook trigger

Notis starts this workflow when an external tool or custom backend sends an HTTP request.

TriggerInstant

Text Chat Completion

Tool to generate text completions or chat responses using a specified llm model. use after assembling the conversation history to produce the next response.

ActionInstant

Connect any two apps with Notis in the middle.

2chat and Ai ml api, or any other combination from 1,000+ integrations.

When this happens · Trigger

Do this · Action

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