Make your WhatsApp inbox review easier to start
Start a regular review with a short AI-generated prompt based on conversation content you provide and a list of open questions to check.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
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.
Why this helps
A recurring inbox review can be hard to begin when you first need to find the important threads and remember what is still open.
- Creates a consistent starting point for inbox review
- Surfaces open questions in supplied conversations
- Makes missing history explicit instead of implying it was checked
Setup
Build it in a few focused steps.
- 1Connect Ai ml api in the Notis portal and decide how WhatsApp conversation content will be supplied for each run.
- 2Create an automation in Automations, New Automation, or tell Notis to create one in plain language.
- 3In one instruction, ask Notis to prepare a review prompt listing open items and context gaps from supplied content.
- 4Pick a Notis schedule trigger, then choose where run reports go.
- 5Test with one real example and confirm the prompt reflects only the supplied conversations.
Questions about this workflow
Will the schedule automatically retrieve my WhatsApp inbox?
No. A Notis schedule starts the automation on a recurring basis. WhatsApp conversation content must be supplied to the run.
Can the prompt tell me which messages are overdue?
Only if timestamps, deadlines, or other needed history are supplied. Without them, it can list apparent open questions but should not claim an item is overdue.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Whatsapp to Ai ml api. A trigger fires from one place; an action lands in another.
Whatsapp triggers
Ai ml api actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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.
Message Status Updated
Triggers when a WhatsApp message status changes. IMPORTANT LIMITATION: WhatsApp Cloud API does not provide a native polling endpoint for message status. Status updates are ONLY delivered via webhooks in real-time. This trigger cannot directly poll the WhatsApp API for status updates. This trigger will return empty results as WhatsApp does not support this operation. To track message status updates, you must: 1. Set up a webhook endpoint to receive status notifications from WhatsApp 2. Store the webhook data in your own database 3. Use a different mechanism to query your stored webhook data For more information, see: - https://developers.facebook.com/docs/whatsapp/cloud-api/webhooks
New Message Received
Triggered in real time when your WhatsApp Business number receives an inbound message from a customer (text, media, location, or contact). Delivered via the Cloud API webhook.
Interactive Reply Received
Triggered when a customer taps a quick-reply button or selects an option from an interactive list message you sent.
Message Template Status Update
Triggered when the review status of a WhatsApp message template changes — for example approved, rejected, or flagged — on your WhatsApp Business Account.
Connect any two apps with Notis in the middle.
Whatsapp and Ai ml api, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
Save your first hour today.
7-day trial of any paid plan, with 20$ of usage included.
No card. Works with personal or business Ai ml api.