Know what matters about every person you work with.
Debrief builds a living profile of everyone in your world — what you discussed, what you committed to, how they work, and what to follow up on. All from quick reflections that take less than two minutes.
For leaders managing dozens of relationships across hundreds of conversations.
Meg Chen
Engineering Lead · Platform Team
Meg leads the platform engineering team and reports to the CTO. She's driving the migration to the new infrastructure stack and is a key voice in hiring decisions. Communicates directly, prefers data over opinions, and has strong convictions about team structure.
Revised timeline due by Friday
Two senior vs three mid-level hires
Waiting on team feedback
Agreed to share revised migration timeline by Friday. Flagged risk around contractor availability.
Discussed Q3 headcount priorities. Meg advocating for two senior hires over three mid-level.
Reviewed on-call feedback. Meg proposed rotating leads monthly instead of quarterly.
Every person gets a living profile that grows richer over time — their priorities, your open threads, their working style, and a complete history of what you've discussed. All from quick reflections that take less than two minutes.
Three reflections. Two minutes each. This is what builds itself.
The difference between an AI that guesses and one that knows you
“What should I bring up in my 1:1 with Jamie?”
Here are some general tips for effective 1:1 meetings: set an agenda, discuss career growth, review recent work, and check in on blockers…
“What should I bring up in my 1:1 with Jamie?”
Based on your recent meetings with Jamie, you have 3 open threads: the VPE search (she expressed strong opinions about the candidate last week), her interview load (she flagged 11 hours as unsustainable), and the growth team restructuring. You also committed to reviewing her interview schedule.
Two minutes after a conversation. Everything else is automatic.
No transcripts. No bots on your call. Just your own reflections, transformed into relationship intelligence.
Reflect
After a meeting, jot down what stood out or record a quick voice note. No structure needed — just what’s on your mind. Takes less time than writing a Slack message.
Your thoughts
Need to follow up with Meg on the migration timeline — she seemed unsure about contractor availability.
Team pushed back on the Q3 plan. Revisit headcount numbers before Friday.
Jamie mentioned burnout on the on-call rotation. Worth raising with Meg in our next 1:1.
Build
Debrief identifies every person mentioned, extracts decisions and commitments, and updates their profile automatically. Open threads get tracked. Working style observations accumulate. Context compounds.
Leads Sync
Summary
Reviewed the product launch timeline. The team converged on a two-phase rollout — soft launch followed by a broader push. Action items assigned for budget review and partner outreach by next Thursday.
Action Items
- ▢Finalize phase 1 budget estimates
- ▢Share revised timeline with the team
- ▢Schedule follow-up for next Thursday
Connect
Your relationship intelligence flows into Claude, ChatGPT, and any MCP-compatible tool. Before your next meeting, your AI already knows the full history.
{
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"debrief": {
"url": "https://debrief.today/mcp"
}
}
}Profiles that get richer with every conversation
The more you reflect, the more Debrief knows. Here's what builds automatically.
Open threads that track themselves
Every commitment, question, and unresolved topic becomes a tracked thread on that person’s profile. Nothing falls through the cracks between meetings.
Working style notes that accumulate
Over time, Debrief learns how each person communicates, makes decisions, and prefers to work. Context your AI assistant can use to help you collaborate better.
A complete conversation history
Every reflection adds to a timeline of your relationship. Search across months of interactions to find that one thing someone said in a meeting you barely remember.
Google & Outlook sync
Connect your calendar and meetings sync automatically. Reflections are always linked to the right people.
Desktop & mobile web
Full experience on desktop, optimized for mobile browsers.
Text or voice capture
Type quick notes or record a voice memo — whatever is fastest.
Your AI assistant finally has a memory
Debrief uses the Model Context Protocol to give Claude, ChatGPT, and any MCP-compatible tool direct access to your relationship intelligence. Ask “what should I bring up with Meg?” and get an answer grounded in your actual history.
Your reflections are honest. They stay private.
The observations that make Debrief valuable are often candid and sensitive. Everything is encrypted at rest, isolated at the database level, and never used to train AI models. Only you and your AI assistant can access your data.
Encrypted at rest
Your reflections are encrypted with industry-standard AES-256-GCM encryption.
Completely isolated
Your data is separated at the database level. No one else can access it.
Never used for training
We never use your debriefs or reflections to train AI models. Your data is yours.
Enterprise-grade infrastructure
Built on SOC2-compliant infrastructure with industry best practices.
Start knowing the people you work with.
Your first profile builds itself after one reflection. Free to start, no credit card required.