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Any transcript. Riffmap reads it by its shape, not its name.

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roadmap-offsite.vttthe same two lines, in each shape

WEBVTT

1
00:00:00.000 --> 00:00:07.000
Rosa Delgado: Okay, is this thing recording? Great — thanks everyone for making the drive up to the lake house for this one.

2
00:00:07.000 --> 00:00:13.000
Maya Chen: Worth it for the coffee machine alone. I almost didn't leave the kitchen.

WEBVTT

00:00:00.000 --> 00:00:07.000
<v Rosa Delgado>Okay, is this thing recording? Great — thanks everyone for making the drive up to the lake house for this one.</v>

00:00:07.000 --> 00:00:13.000
<v Maya Chen>Worth it for the coffee machine alone. I almost didn't leave the kitchen.</v>

Rosa Delgado  0:00
Okay, is this thing recording? Great — thanks everyone for making the drive up to the lake house for this one.

Maya Chen  0:07
Worth it for the coffee machine alone. I almost didn't leave the kitchen.

[0:00] **Rosa Delgado**: Okay, is this thing recording? Great — thanks everyone for making the drive up to the lake house for this one.

[0:07] **Maya Chen**: Worth it for the coffee machine alone. I almost didn't leave the kitchen.

Fleet Intelligence roadmap offsite – 2026/09/16 10:02 CDT – Transcript

Attendees

Rosa Delgado, Maya Chen, Tomasz Wierzbicki, David Okafor

Transcript

Rosa Delgado: Okay, is this thing recording? Great — thanks everyone for making the drive up to the lake house for this one.

Maya Chen: Worth it for the coffee machine alone. I almost didn't leave the kitchen.

Rosa Delgado: Okay, is this thing recording? Great — thanks everyone for making the drive up to the lake house for this one.
Maya Chen: Worth it for the coffee machine alone. I almost didn't leave the kitchen.

{
  "meetingName": "Fleet Intelligence roadmap offsite",
  "date": "2026-09-16",
  "utterances": [
    { "speaker": "Rosa Delgado", "text": "Okay, is this thing recording? Great — thanks everyone for making the drive up to the lake house for this one.", "startSec": 0.0 },
    { "speaker": "Maya Chen", "text": "Worth it for the coffee machine alone. I almost didn't leave the kitchen.", "startSec": 7.0 }
  ]
}

The cloud recording's audio transcript, with its own clock.

The name in a voice tag. A Teams .docx saved as plain text is read too.

The demo offsite's first lines — Lumen Robotics, an invented company — in each shape.

Riffmap reads it

The first board of a roadmap offsite: three lanes — Sensor drift, Alerting, Dashboard — stickies with who said it and at what minute, a decision badged in green, a line from one idea to the one it built on

The map. Later in the same call: the brainstorm, drawn. Open this map → Pans sideways on a phone.

How the transcript travels

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Circleback · Fathom

Riffmap

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Zoom · Teams · Webex · Otter · Google Meet

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Through Zapier or Make

Otter · Fireflies

Zapier · MakeRiffmap

Otter: a new transcript triggers a POST of its text (it lands untitled). Fireflies: the flow fetches the transcript from its API in a Code step, and keeps the title and date.

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Granola

a scriptRiffmap

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youRiffmap

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Change a map behind your back

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Sent twice, run once

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