Jeremy Neely Text Jeremy

AI & Agents · Production

Meeting Summary Builder

Turns a Teams or Zoom transcript into a branded Word meeting summary.

Built for: Account managers, project leads and engineers at The AME Group

The app page beside a generated meeting summary document (sample data).
The app page beside a generated meeting summary document (sample data).

The problem

After a client meeting, someone has to reread the transcript and write up scope, owners, dates and open questions. That takes about 30 to 60 minutes, so it often gets skipped and decisions get lost.

What I built

I built a single-file browser app that sends a transcript to Hatz AI for a structured summary and produces an AME-branded Word document. A tiny bundled local server lets non-technical staff run it without installing anything.

How it works

  1. Start the bundled local server and open the page.
  2. Drop in a .vtt, .docx or .txt transcript.
  3. Hatz returns a structured summary as JSON.
  4. Optionally look up attendee emails through Microsoft 365.
  5. Preview the record and download the Word file.
How Meeting Summary Builder is wiredA single HTML file plus a tiny local server. The transcript goes to Hatz AI and nowhere else.
Comes inInside Meeting Summary BuilderGoes out Transcript .vtt, .docx or .txt Microsoft 365 optional attendee lookup Local server bundled, no install Hatz AI summary structured JSON back Build document docx.js in the browser Word summary branded, owners and dates In-page preview before download

Built with

  • JavaScript (single file)
  • Hatz AI API
  • docx.js
  • mammoth.js
  • Microsoft Graph
  • Node.js
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More screens

The generated Word summary with action items, owners and due dates (sample data).
The generated Word summary with action items, owners and due dates (sample data).
A transcript loaded and the progress log after the Word file is built (sample data).
A transcript loaded and the progress log after the Word file is built (sample data).
The in-page preview of the summary before download (sample data).
The in-page preview of the summary before download (sample data).
Settings for choosing the Hatz model and optional Microsoft 365 lookup.
Settings for choosing the Hatz model and optional Microsoft 365 lookup.

More of Jeremy's work

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