Earmark
A productivity suite that turns meeting transcription into specs, tickets, and action items. For PMs, it’s relevant as an example of AI-assisted product operations.
Key Highlights
- Earmark converts real-time meeting transcripts into finished specs, tickets, and next steps.
- Its product is relevant to AI PMs as a concrete example of AI-assisted product operations.
- Earmark’s personas feature simulates experts in security, legal, and accessibility during meetings.
- The company illustrates how AI can shift governance and cross-functional review earlier in product workflows.
Earmark
Overview
Earmark is a company building an AI-powered productivity suite that turns live meeting conversations and transcription into structured execution artifacts such as product specs, tickets, and action items. Based on newsletter mentions, its core value proposition is reducing the manual work that typically follows product, planning, and cross-functional meetings.For AI Product Managers, Earmark matters as an example of AI-assisted product operations: using real-time meeting data as input, then converting unstructured discussion into outputs that can move directly into delivery workflows. Its later "personas" feature also points to a broader pattern in AI product design—embedding simulated expert perspectives like security, legal, and accessibility directly into collaboration loops so teams can catch issues earlier.
Key Developments
- 2026-02-07 — Teresa Torres highlighted that Earmark built a productivity suite using real-time meeting transcription to automatically generate finished specs, tickets, and next steps from conversations.
- 2026-02-08 — Teresa Torres launched Earmark’s "personas" feature, which creates AI agents that simulate security, legal, and accessibility experts to ask role-specific questions during product meetings.
Relevance to AI PMs
- Automating post-meeting product ops: Earmark shows how AI can turn raw meeting transcripts into artifacts PMs already need—specs, engineering tickets, and action items—shrinking the gap between discussion and execution.
- Shifting reviews earlier in the workflow: The personas feature demonstrates a practical way to bring stakeholder lenses such as legal, security, and accessibility into discovery and planning meetings before work is handed off.
- Designing AI around existing PM workflows: Earmark is a useful reference for PMs evaluating AI tools that fit naturally into existing habits like meetings, note-taking, and task creation rather than requiring entirely new behavior.
Related
- Teresa Torres — Mentioned as the person highlighting Earmark’s product and launching its personas feature, connecting the company to product discovery and product practice audiences.
Newsletter Mentions (2)
“Teresa Torres launched Earmark’s “personas” feature, creating AI agents that simulate security, legal, and accessibility experts to ask role-specific questions in product meetings.”
GenAI PM Daily February 08, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 20 insights for PM Builders, ranked by relevance from X, Blogs, YouTube, and LinkedIn. #7 𝕏 Teresa Torres launched Earmark’s “personas” feature, creating AI agents that simulate security, legal, and accessibility experts to ask role-specific questions in product meetings. #8 𝕏 Tal Raviv gave Opus 4.5 read-only access to his Mercury bank account using Mercury’s MCP connector (official Anthropic app, quick OAuth) to diagnose a tax shortfall.
“Teresa Torres highlights that Earmark built a productivity suite that uses real-time meeting transcription to auto-generate finished specs, tickets, and next steps from conversations.”
#19 𝕏 Teresa Torres highlights that Earmark built a productivity suite that uses real-time meeting transcription to auto-generate finished specs, tickets, and next steps from conversations.
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