The Huddix Blog
Meeting intelligence, in depth.
Engineering deep-dives, product thinking, and field notes on transcription, voice recognition, and turning conversations into searchable memory.
Introducing Huddix: AI Meeting Intelligence
We built Huddix to solve a universal problem — meetings happen, decisions are made, and then everyone forgets. Today we're launching our meeting intelligence platform with live transcription, 3-pass AI summaries, and cross-meeting memory.
Meeting Action Items That Actually Get Done
Most action items die in the gap between the meeting and the follow-through. This guide covers the small structural changes — owners, dates, and a single source of truth — that turn talk into completed work.
Turn Your Meetings into a Searchable Knowledge Base
Transcripts are where information goes to be forgotten. The real value shows up when every meeting becomes something you can ask questions of. Here is how cross-meeting memory works and why it changes how teams operate.
One Recorder for Zoom, Google Meet, Teams, and Webex
Your team does not meet on one platform — so why use a recorder that only works on one? Here is how Huddix captures supported desktop-call audio without a separate integration for each app.
The Complete Guide to AI Meeting Summaries
A good meeting summary is not a shorter transcript — it is a different artifact entirely. This guide breaks down what makes AI summaries useful, where they fail, and how to get consistently great ones.
Bot-Free Meeting Recording: Capture Every Call Without Inviting a Bot
Most meeting assistants join your call as a visible 'notetaker' bot. Huddix records supported desktop-call audio instead — nothing joins, nothing to explain. Here's why that matters.
Pre-Meeting Briefings: AI Context Before Every Call
Calendar integration meets meeting memory. Huddix generates AI context briefings before your meetings so you always walk in prepared — available on Pro plan.
Building a Semantic Memory System with pgvector
How we use OpenAI embeddings and pgvector to build a cross-meeting memory graph that powers Ask AI search across all your conversations with natural language.
Why Three-Pass AI Summarization Beats Single-Shot
Our 3-pass pipeline with GPT produces dramatically better meeting summaries than a single prompt. We explain the architecture and share real comparisons.
How We Built Cross-Meeting Voice Fingerprinting
Using SpeechBrain's ECAPA-TDNN model, we can identify speakers across meetings with just seconds of audio. Here's how we engineered our voice recognition pipeline.