Guests**

Mark Barbir – CEO, Earmark
Sanden Gocka – Co-Founder, Earmark

What we cover in this episode:

How Earmark differs from generic AI notetakers by producing finished work, not just summaries
The pivot from Apple Vision Pro presentation coaching to a web-based meeting assistant
Running multiple agents in parallel during live meetings
Template-based agents: Engineering Translator, Make Me Look Smart, Acronym Explainer
Personas that simulate absent team members (security architect, legal, accessibility)
Why ephemeral mode (no data storage) became a selling point for enterprise
Reducing AI costs from $70/meeting to under $1 through prompt caching
Why GPT 4.1 still beats newer models for prose quality in their use case
The limits of vector search for analysis questions across meetings
Building agentic search with multiple retrieval tools (RAG, BM25, metadata queries, bespoke summaries)
Designing for product managers as the extreme user to solve for everyone
Their vision for an AI chief of staff that goes beyond automating deliverables

Resources & Links

Earmark — Productivity suite where the work completes itself
ProductPlan — Roadmapping tool where both founders previously worked
Granola — AI notetaker mentioned for comparison
Assembly AI — Speech-to-text service used by Earmark
OpenAI API — LLM provider with prompt caching support
Cursor — AI code editor with build integration in Earmark
V0 by Vercel — AI prototyping tool with build integration in Earmark

Chapters

00:00 Introduction to Earmark Founders 00:28 Background and Experience 01:05 What Does Earmark Do? 01:23 AI and Productivity 03:09 Comparing Earmark to Competitors 03:41 Earmark's Unique Features 05:53 Templates and Personas 10:06 Technical Details and Development 17:12 Early Product Versions and Challenges 28:44 Understanding Prompt Caching 29:49 Managing Multiple Tools and Costs 30:59 Optimizing Transcript Summarization 35:11 Challenges with Context and Reasoning Models 38:10 Innovative Search and Retrieval Techniques 44:06 Creating Actionable Artifacts from Meetings 48:30 Ensuring Quality and Managing Hallucinations 58:20 Future Vision for AI Chief of Staff

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