Earmark Blog

Field notes on AI, meetings, and turning live conversation into shippable work.

Beliefs

Meetings Shouldn't Become Notes

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Beliefs

Meetings Shouldn’t Create More Work

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Beliefs

Daily and essential, or nothing

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Pain Points

Why product teams redo the meeting after everyone leaves

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Workflows

How to build a usage dot plot in Claude Cowork

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Upcoming Releases

The Status Update Is Dead. It Just Doesn't Know It Yet.

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Upcoming Releases

Your meetings know the answer. Soon, Earmark will help you find it.

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Beliefs

Decide Late

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Lessons

Your AI meeting summary doesn't save you as much time as you think

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Beliefs

Decisions Don't Survive

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Customer Stories

Seven people became 118. Nobody rolled it out.

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Workflows

Engineers have IDEs. Product managers have meetings.

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Upcoming Releases

We'll tell you when to click the button

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Upcoming Releases

Continue in Claude Cowork or Codex

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Upcoming Releases

You don't need to be in every meeting

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Upcoming Releases

Perfect memory, down to the quote

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Upcoming Releases

Your Meeting is the Prompt

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Lessons

Trust Increases When AI Shows Its Work

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Lessons

The Wedge Has to Be Concrete

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Lessons

The Strongest Demos Show Before and After

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Lessons

The Artifact Has to Be Immediately Useful

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Lessons

Product Teams Need AI That Understands Ambiguity

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Lessons

Users Do Not Want More AI Text

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Lessons

The Best AI Should Not Interrupt the Meeting

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Lessons

Context Matters More Than Capture

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Lessons

A Generic Summary Is Rarely Enough

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Lessons

The Transcript Is Raw Material, Not the Product

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Pain Points

The Work Is Scattered Across Too Many Tools

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Pain Points

Documentation Depends Too Much on the Individual

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Pain Points

Follow-Ups Are Fragile

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Pain Points

Teams Repeat the Same Conversations

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Pain Points

Leadership Wants Visibility Without Another Meeting

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Pain Points

Customer Calls Don't Reliably Become Product Insights

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Pain Points

Engineering Handoffs Are Too Inconsistent

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Pain Points

PMs Are Buried in Admin

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Pain Points

Decisions Get Buried

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Pain Points

Meetings Create Work Instead of Completing Work

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Buyer Mistakes

Choosing the Tool That Captures the Meeting

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Buyer Mistakes

Waiting Until the Process Is Broken

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Buyer Mistakes

Overvaluing Dashboards and Undervaluing Artifacts

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Buyer Mistakes

Accepting Messy Handoffs as Normal

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Buyer Mistakes

Confusing Recording With Remembering

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Buyer Mistakes

Buying for Personal Productivity Instead of Team Alignment

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Buyer Mistakes

Underestimating Post-Meeting Cleanup

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Buyer Mistakes

Assuming Chat-Based AI Is Enough

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Buyer Mistakes

Optimizing for Transcription Instead of Completion

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Buyer Mistakes

Treating Every AI Meeting Tool Like a Note-Taker

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Beliefs

The Best AI Will Feel Invisible During the Work

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Beliefs

Artifact Quality Is the New AI Bar

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Beliefs

"AI Productivity" Is Not a Wedge

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Beliefs

From AI Assistant to AI Operator

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Beliefs

Talk Now, Leave With the Work Already Done

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Beliefs

Product Teams Are Drowning in Translation Work

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Beliefs

Documentation Is Not the Prize Anymore

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Beliefs

The Next Productivity Layer Won't Be Another Place to Chat

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Beliefs

Prompting Is a Tax

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Lessons

The Best AI Meeting Assistants for OpenAI Codex (2026)

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Lessons

The Best AI Meeting Assistants for Claude Cowork and Claude Code (2026)

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Lessons

The Best AI Meeting Assistants for Linear (2026)

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Lessons

The Best AI Meeting Assistants for Jira (2026)

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Beliefs

The Meeting Is Becoming the New Prompt

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