Keep WhatsApp follow-ups from slipping through the cracks
Get a list of conversation follow-up drafts based on the history available to Notis, so you can review and send the ones that still matter.
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
Remembering who needs a follow-up across several conversations adds mental overhead and makes small commitments easy to miss.
- Prepare draft follow-ups from accessible conversation history.
- Review possible next messages in a scheduled batch.
- Keep follow-up decisions visible without composing every message from scratch.
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 prepare follow-up drafts from recent accessible WhatsApp conversations.
- 3Describe the time window and how to handle conversations that appear to need a reply in one instruction.
- 4Choose a Notis recurring schedule as the trigger and select where run reports should go.
- 5Test with one real conversation and review each suggested follow-up before sending.
Questions about this workflow
Will it send follow-up messages automatically?
No. The workflow generates drafts for review. Send any message through your usual process.
How does it know whether a follow-up is due?
It can infer possible follow-ups from available messages and any criteria in your instruction. Check the conversation before sending.
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.
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.
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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