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
