Blog
Insights on transcription, privacy, and the future of meeting workflows.
What a Good AI Meeting Summary Actually Looks Like
Most AI meeting summaries just compress the conversation. A useful one answers three questions: what was decided, what happens next, and who owns it.
How On-Device Meeting Transcription Works — and Why It Matters
On-device transcription runs the whole pipeline on your own computer — no audio leaves the machine. Here’s how it works, and why it’s a different privacy model entirely.
From Standup to Ticket: Meeting Transcription for Engineering Teams
Engineering meetings produce decisions and action items that mostly evaporate. Here’s how transcription built for engineers turns standups, planning, and retros into tracked work.
Who Said What: The Feature That Turns a Transcript Into a Record
A transcript with no speaker labels is just a wall of text. Here is why knowing who said what is the hard part, and the difference it makes.
Stop Writing Tickets After Every Meeting
The call ends and a second job begins: turning what was said into tickets. That work should be automatic, not yours.
Your Meeting Data Has No Business in the Cloud
Most meeting tools upload everything you say to servers you do not control. Here is why your transcripts should never leave your device, and what has gone wrong when they do.
Why the Best Notetaker Never Joins Your Call
Meeting bots are awkward, intrusive, and a privacy liability. Capturing system audio locally does the same job without anyone noticing.
Recording Consent, Explained for Distributed Teams
Two-party consent laws vary by country and state. Here is how to stay compliant without turning every call into a legal seminar.
The Future of On-Device Transcription
Explore how on-device transcription is reshaping privacy-first workflows and why cloud-based solutions are becoming obsolete.
Transcription Accuracy: What the Numbers Really Mean
Most transcription services claim 99%+ accuracy. We break down what this metric actually means and why it can be misleading.
Extracting Actionable Insights from Meeting Transcripts
How to transform raw transcripts into decisions, tickets, and action items without manual processing.