Get real work done before the meeting ends. Earmark listens privately from your desktop and turns conversations into finished docs, action items, and updates in real time.
Get real work done before the meeting ends. Earmark listens privately from your desktop and turns conversations into finished docs, action items, and updates in real time.
Earmark is an AI workspace that turns your live conversations into finished work—PRDs, tickets, recaps, and status updates—so you stop rewriting your meetings after hours.
Earmark listens to your meetings (remote or in-person), understands the context, and then:
Extracts decisions, risks, and next steps
Writes PRDs and specs using your templates
Creates Jira/Linear tickets with acceptance criteria
Drafts customer follow-ups and stakeholder recaps
Produces status updates and summaries
You talk through the problem; Earmark turns that into structured, shippable output.
Earmark is not “just an AI notetaker.” Its primary output isn’t a transcript, it’s finished work. Think of it as:
Part AI Chief of Staff for product and engineering
Part real-time documentation engine
Part workflow automation for meeting output
You still get summaries, but the real value is PRDs, tickets, and updates that are ready to share.
We built Earmark primarily for:
Product Managers (PMs) and Group PMs
Technical Program Managers (TPMs) and Program Leads
Engineering Managers (EMs) and Tech Leads
Forward Deployed Engineers
Sales Engineers
Strategy Teams
Chiefs of Staff / BizOps / Ops leaders
Cross-functional leaders who live in meetings
If you spend your days in planning, roadmap reviews, standups, grooming, customer calls, or stakeholder syncs—and then nights converting those into docs and tickets—Earmark is for you.
Earmark attacks a few painful patterns:
The “second shift” after meetings
You already decided everything in the meeting, but still have to write the PRD, tickets, recap, and status deck afterward.
Scattered, inconsistent documentation
Some meetings get notes, others don’t; every PM writes specs differently; tickets are missing context or acceptance criteria.
Backlog churn and misalignment
Teams implement the wrong thing because context never made it cleanly from the conversation into the tools devs actually use.
Earmark compresses this loop: one conversation → multiple finished artifacts, reliably and consistently.
Earmark uses device-side capture rather than a guest bot:
You open Earmark (desktop or web)
Click Start capture (with or without a linked calendar event)
Earmark listens to the conversation and builds an internal representation of what’s being discussed
No extra “AI Bot” shows up on the participant list.
Earmark is meeting-platform agnostic. If you can hear it on your computer, Earmark can capture it:
Zoom
Google Meet
Microsoft Teams
Webex and other browser-based tools
In-person meetings (via your laptop microphone)
Phone calls on speaker near your laptop
You’re not locked to a specific conferencing provider.
No. Only the organizer (or whoever is running Earmark) needs the app. Other attendees don’t need an account, extension, or install.
During the meeting, Earmark:
Listens for context – people, topics, decisions, and next steps.
Tracks the structure – what’s being proposed, debated, decided, or parked.
Waits for instructions – you assign tasks like:
“Create Jira tickets from this discussion.”
“Draft a PRD for this feature.”
“Write a recap for the leadership team.”
Earmark then turns the conversation into specific deliverables, using your templates and tools.
You can:
Assign tasks live:
“Draft PRD for ‘billing tier change’.”
“Create 10-ish Jira tickets with acceptance criteria.”
“Send a high-level recap to our GTM Slack channel.”
Configure defaults by meeting type:
For recurring meetings (e.g., “Weekly Product Sync”), you can set default tasks like “summary + decision log + action items.”
Use templates:
Choose from built-in templates or define your own PRD, ticket, and recap formats.
Common outputs include:
PRDs / Specs
Problem, background, constraints
Requirements, user stories, edge cases
Open questions, assumptions, risks
Jira / Linear tickets
Title, description, context
Acceptance criteria and test notes
Links back to meeting context
Customer call recaps
Customer goals, pain points
Feature requests and adoption risks
Follow-up actions and owners
Status updates
Progress summaries by workstream
Risks, blockers, and mitigations
Next steps and asks
Decision logs
What was decided, by whom, and why
Alternatives considered
Impact and follow-ups
You remain in control, but you’re starting from a strong draft rather than a blank page.
Yes. It’s designed for real life, not perfect podcast audio:
Multiple speakers, different accents
Back-and-forth debates and interruptions
Topics that bounce around and then come back
You’ll still get more accurate results from clear microphones and a reasonable signal-to-noise ratio, but Earmark is built for the mess.
Both:
Real-time: See early drafts of artifacts during the meeting, so you can sanity-check or adjust direction.
Post-meeting: Run additional tasks on the captured meeting (e.g., “Now create a short executive summary,” or “Create a customer-facing recap.”).
Many teams use Earmark live in the meeting, then run one or two follow-up tasks after.
Yes. You can:
Copy/paste existing template structure in Earmark
Capture any relevant meetings
Earmark will auto-complete your document as conversations take place.
Absolutely. You can:
Send Earmark specific templates to recurring meetings (e.g., “Backlog Grooming → ticket template”) and we'll push task agents to you.
Let PMs/TPMs choose those custom templates on the fly depending on the context
Some high-value patterns:
Backlog grooming / refinement
Turn a messy discussion into a set of ready-to-dev tickets.
Roadmap / planning sessions
Generate PRDs, milestones, and decision logs.
Spec walkthroughs and reviews
Capture feedback, decisions, and open questions—and update the spec.
Customer and sales calls
Summaries, risk notes, follow-ups, and internal notes (vs. customer-facing recap).
Weekly status / standups
One summary per team or initiative, plus action items and blockers.
1:1s and performance conversations
Goals, feedback, commitments, and follow-up tasks.
Executive reviews
Crisp “executive-ready” summaries and decision logs.
Yes. Some teams start with:
Summaries (short or detailed)
Action item lists with owners and due dates
Then gradually move into full PRDs, tickets, and more structured outputs as they get comfortable.
Yes. While Earmark is optimized for product/engineering workflows, it can just as easily:
Draft sales follow-ups and account notes
Write marketing briefs
Summarize ops and leadership meetings
Wherever conversations become written work, Earmark can help.
In practice, customers report that:
Earmark reliably captures the important decisions, context, and tasks
Most artifacts need light editing, not a full rewrite
The more consistent your meeting patterns and templates, the better the output
We recommend treating Earmark as your first draft engine: it gets you to 70–90%, you do the last 10–30%.
You are. Earmark:
Suggests structure and wording
Aggregates context from the conversation
Saves you from starting at zero
But you review, edit, and own everything that gets shared with your team, customers, or leadership.
What are the limits of what Earmark can do today?
Some realistic limitations:
It’s not a replacement for your judgment, product sense, or stakeholder alignment.
It can’t read minds; if something wasn’t clearly discussed, it may not infer it correctly.
It needs internet connectivity to generate artifacts (AI models run in the cloud).
Extremely chaotic audio or very noisy environments can reduce accuracy.
If Earmark ever produces something off, you can correct it, re-run it, or give more explicit instructions.
Do you send bots into my meetings?
No. Earmark does not join your calls as a participant. It relies on device-side capture instead of a “guest bot,” which:
Avoids awkward “who invited this AI bot?” moments
Plays more nicely with customers and external stakeholders
Reduces confusion around meeting visibility and links
Earmark is designed to be privacy-first:
We don't store raw audio.
You don't store any data by default
We do not train on your data.
For teams with strict policies, we work with you to align retention and deletion rules with your governance needs.
We follow industry-standard practices, including:
Encryption in transit (TLS) and at rest
Access controls at the org and user level
Environment isolation for customer data
We’re happy to go through your security review and provide additional technical detail as needed.
No.
We don’t sell your data.
We dou don't store any data by default
We don’t share transcripts or artifacts with other customers.
We don’t use your data to train public or shared models.
Earmark uses state-of-the-art LLMs (including GPT-5.1) and may mix in other providers where it improves quality, reliability, or latency. Over time we may adjust the exact model mix to give you better results.
We do not use your data to train public models.
Internally, we may use aggregated, anonymized usage patterns to improve prompts, templates, and product behavior—but never in a way that exposes your proprietary content to other customers.
What do I need to run Earmark?
Typically:
A modern browser and/or the Earmark desktop app
A work email address
A stable internet connection
For best performance, use a reasonably recent machine and OS (the same standard you’d use for other modern SaaS tools).
For an individual:
10–15 minutes to sign up, connect calendar, and set a few templates
1–3 meetings to start seeing real value
For a team:
1–2 weeks to pilot with a core group
2–4 weeks to standardize on templates and workflows
No, but it’s recommended.
Without calendar access, you can still:
Run Earmark manually
Start capture and name the meeting yourself
With calendar access, you get:
One-click “Start with this event”
Auto-labeling of meetings with title and attendees
Cleaner meeting history and search
Earmark uses seat-based pricing:
Individual / IC plans for solo PMs/TPMs
Team plans for product/engineering orgs
Enterprise plans with advanced security, integrations, and support
We don’t charge per meeting or per artifact—you shouldn’t feel like you have to “ration” usage.
Most teams see:
Several hours per week saved per PM/TPM, some customers get back 10+ hours a week
A meaningful reduction in post-meeting “cleanup time”
More consistent documentation and fewer “what did we decide?” moments
The exact number depends on how meeting-heavy your team is and how many artifacts you generate.
Some practical approaches:
Survey your PM/TPM/EM team about time saved and stress reductio
Track how long it used to take to write a PRD/tickets/recap vs. now
Count how many artifacts are directly generated or started in Earmark
Monitor reduction in “follow-up meetings” caused by missing context
Generic tools are powerful, but:
You still have to move content in and out manually
They’re not tied deeply to your meeting workflows and calendar
They don’t know which specific outputs you need for each meeting
Earmark is purpose-built around meetings → artifacts, with templates, integrations, and workflows tuned for that loop, especially for product and engineering teams.
You can try—but questions quickly appear:
Who maintains the internal tool when frameworks, APIs, and models change?
Who owns uptime, on-call, and performance?
Who handles security, compliance, and audits?
Who keeps templates, models, and workflows improving over time?
Earmark is a product, not a one-off script. You’re buying all the operational care, iteration, and support that goes into making this work reliably for your team day after day.
We recommend being transparent:
Mention at the start: “I’m using Earmark to capture notes and draft tickets/recaps.”
Include a brief note in recurring agendas that “AI-driven documentation” is being used.
In most organizations, people are relieved that someone else (even AI) is handling the detailed note-taking.
Often:
It replaces the need for a dedicated “scribe” role in many meetings.
It allows PMs/TPMs to participate more fully instead of typing constantly.
But you’ll still want a human owner of each meeting’s outcomes, who validates the artifacts before they’re shared.
Earmark needs a connection to generate AI artifacts.
If connectivity drops, capture may pause, and tasks may be delayed until you’re back online.
In many cases, you can resume or re-run tasks once your connection stabilizes.
You can:
Start Earmark mid-meeting; it’ll capture from that point forward.
Add manual notes or context if you need to fill gaps that occurred before capture started.
You can:
Open the meeting in Earmark
Delete the session and/or specific artifacts
Apply your org’s retention policies for auto-cleanup
You can:
Ask for a shorter/longer version (“Can you condense this to a 3-paragraph exec summary?”)
Refine templates to be more concise or more detailed
Re-run the task with clearer instructions (“Focus only on decisions and action items.”)
We ❤️ product people
