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Solution · reliability and meetings

Task digests in Telegram: everyone gets their own list on their own morning

Not everyone on the team opens Notion every day, and a shared broadcast at one time reaches someone at night. This solution sends each person their tasks from active projects to Telegram at the right local hour.

What it looks like

Mock-ups with demo data, no real data

Tasks

Good morning, Anna! Today:

1. Send questionnaires — Autumn group

2. Check payments — by 14:00

3. Prepare the room — by 17:00

· Overdue: 0 · this week: 7

08:00

Morning digest

At a glance

In production
At a client under NDA
Fits
Distributed teams and people who live in Telegram rather than Notion
Needs
Tasks with assignees in Notion and a Telegram bot

Estimate for your company

  • ≈5 h

    a month of a coordinator’s reminders

    Assumption: 15 minutes a day of manual reminders × 20 working days (our assumption)

This is a calculation, not a promise: plug in your own volumes and the figure changes.

Before

  • Not everyone opens Notion every day, so tasks get missed.
  • A shared broadcast at one time lands in the middle of someone’s night.
  • The coordinator spends time reminding everyone of their tasks by hand.

What was built

A personal digest

The bot collects a person’s tasks across active projects and sends them in one message.

Local time

AI works out the project’s time zone, and the digest arrives at the right hour.

One-step sign-up

A person messages the bot, which finds them in the database and links their Telegram to their record.

Summaries on request

Bot commands return an AI summary of a project without opening Notion.

Stack

  • Notion
  • n8n
  • Telegram Bot API
  • AI models via API

Where it runs

Questions

How does the bot know when it is morning for someone?

AI works out the time zone from the active project’s data, and the send time is then computed by ordinary code.

Does anything need setting up?

Only message the bot once: it finds the person in the database and starts sending digests.

Have a similar problem? Get in touch — we start by mapping your processes.

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