Send a talk-time breakdown to Telegram after every meeting

After each recorded meeting, get a report on your phone showing who talked the most and if anyone dominated.

How the work actually flows

A straight line. Runs once per one per meeting participant.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig>"meeting transcription completes"]:::trig s0[["pull speaking stats per person"]]:::mi s1["build bar chart of talk time"]:::task s2["flag dominant speakers"]:::task s3["send report to phone"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"talk-time report sent instantly"/]:::out pay{{"visibility into meeting balance"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepRuns once per itemResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Voice & PhoneMessaging & NotificationsReporting & AnalyticsAPI & Webhook IntegrationScheduling & Calendar
Connects
FirefliesTelegram

The problem it solves

You walk out of meetings with a gut feeling that one person did all the talking, but no real way to prove it or fix it. Reviewing recordings just to check who spoke the most takes time you don't have.

Who it fits

A manager, coach, or team lead who wants to know whether meetings are balanced or dominated by one voice.

How it works

  1. Once a meeting recording finishes transcribing, the report generation starts automatically
  2. Speaking time, word count, and questions asked are pulled for each person
  3. A simple bar chart is built showing how much each person spoke
  4. If anyone crossed your set talking threshold, they're flagged as dominant
  5. The full report is sent straight to your phone
What you get

Meetings you can tell were balanced

After every recorded meeting, you get a clear breakdown of who spoke the most, so you know if one voice dominated.

What you get

A formatted talk-time report for each meeting, sent as a message with a visual breakdown per speaker.

What you need

A Fireflies.ai account and a Telegram account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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