ProfMe Journal
Ideas for work that remembers.
Research, practical methods and clear-eyed notes on carrying context from one conversation to the next.
Featured guide · 8 min read
What Is Professional Memory? The Missing Layer in Modern Work
Professional memory is a durable, searchable record of work context—people, decisions, commitments and why they changed—across conversations.
Read the guideBrowse all articles
Why We Forget Meeting Decisions and Action Items
Meeting follow-through fails when decisions and intentions stay buried in conversation, split across tools, or lack an owner and a cue.
Read article →
AI Meeting Notes vs. AI Meeting Memory: What’s the Difference?
AI meeting notes summarize one event. AI meeting memory aims to connect events, people, decisions and commitments over time—with important tradeoffs.
Read article →
How to Prepare for Meetings Using AI and Historical Context
Use AI to assemble a meeting brief from prior decisions and open threads, then verify sources and choose a useful agenda.
Read article →
Why Workplace Knowledge Gets Lost Across Slack, Meetings, and Project Tools
Workplace knowledge fragments when discussion, rationale and execution records live in separate tools without durable links or clear ownership.
Read article →
How AI Memory Systems Work: RAG, Knowledge Graphs, and Persistent Context
A practical guide to retrieval-augmented generation, entity graphs and persistent context—and the failure modes that remain.
Read article →
How to Track Decisions, Owners, and Commitments Across Meetings
A practical decision-log workflow for tracking what was decided, by whom, why, and what action follows across recurring meetings.
Read article →
AI Meeting Assistants and Privacy: What Should You Check?
A practical privacy checklist for evaluating meeting assistants: notice, permissions, data flows, retention, model use, access and deletion.
Read article →
Relationship Intelligence: Remembering People, Conversations, and Follow-Ups
Relationship intelligence in work means retaining relevant interaction history and commitments with care, accuracy and respect for privacy.
Read article →
How to Review and Correct an AI Meeting Transcript
A practical transcript review workflow for names, numbers, decisions, speaker labels, and uncertainty—before notes are shared or used as evidence.
Read article →
Customer Interview Synthesis: A Practical Template for Product Teams
Turn customer interviews into traceable product evidence with a lightweight synthesis template that separates quotes, observations, interpretations, and decisions.
Read article →
One-on-One Meeting Notes Template: A Useful Structure for Managers
A flexible 1:1 notes template for shared priorities, blockers, decisions, and follow-ups—designed to support the conversation without turning it into surveillance.
Read article →
How to Choose an AI Meeting Assistant: A Practical Evaluation Checklist
Compare meeting assistants by capture method, review controls, workflow fit, privacy, and total cost with a repeatable test instead of feature-count marketing.
Read article →