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 turns real-time meeting transcription into specs, tickets, and next steps.
- Its product is a strong example of AI-assisted product operations for PM teams.
- The personas feature adds simulated expert agents for security, legal, and accessibility review.
- Earmark illustrates how AI can move from summarization to workflow execution.
- Teresa Torres is directly connected to key public mentions of the company’s product evolution.
Overview
Earmark is a company building an AI-powered productivity suite that turns live meeting transcription into structured product work outputs such as finished specs, tickets, and action items. Based on the newsletter mentions, its core value proposition is reducing the manual operational overhead that often follows product, engineering, and cross-functional meetings.For AI Product Managers, Earmark matters as an example of AI-assisted product operations: software that does not just summarize conversations, but converts them into downstream execution artifacts. Its newer “personas” feature also points to a more advanced pattern in AI collaboration tools, where simulated expert agents can participate in meetings and surface role-specific concerns such as security, legal, and accessibility before decisions move forward.
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 experts such as security, legal, and accessibility reviewers to ask role-specific questions during product meetings.
Relevance to AI PMs
- Operationalizing meeting output: Earmark shows how AI can convert discussion into usable delivery artifacts, helping PMs shorten the path from meeting to execution. This is especially useful for teams trying to reduce documentation lag and improve follow-through.
- Embedding governance earlier in the workflow: The “personas” feature suggests a practical way to bring compliance, accessibility, and risk review into discovery and planning conversations rather than waiting for later-stage handoffs.
- Designing AI-native team processes: AI PMs can study Earmark as a product pattern for workflow automation that sits between communication tools and execution systems, with value tied to accuracy, trust, and integration into existing team rituals.
Related
- Teresa Torres: Mentioned as the person highlighting Earmark’s capabilities and launching its “personas” feature, indicating a close connection between her product thinking and Earmark’s evolution.
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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