Thoughts on AI, productivity, and the future of meetings — from the people building it.
VC partners take 15–25 pitch meetings per week. By the time investment committee meets, the nuance that separates a good bet from a bad one has already decayed.
Apr 10, 2026
Fireflies.ai's credit-based pricing, visible meeting bots, and a March 2026 BIPA class action are pushing teams to explore alternatives.
Apr 9, 2026
Design review meetings generate dozens of verbal decisions that never make it into formal documentation. The result is rework, scope creep, and professional liability exposure.
Apr 9, 2026
Otter.ai's privacy issues, bot fatigue, and three-language limit are pushing professionals to look elsewhere. We compare Fireflies.ai, Fathom, Fellow, and AmyNote.
Apr 8, 2026
Fathom's bot problem, language limits, and lack of mobile or in-person support are pushing users elsewhere. We compare Otter.ai, Fellow, Granola, and AmyNote.
Apr 7, 2026
Sponsor-site meetings, DSMB calls, and investigator discussions generate critical verbal decisions. Most never make it into the trial master file with any precision.
Apr 7, 2026
Most AI note-taking tools assume you're on a video call. Four tools now target in-person recording with genuinely different approaches.
Apr 6, 2026
Construction generates more verbal decisions per project than almost any other industry. The gap between what's said and what's recorded is where disputes and liability live.
Apr 6, 2026
Tax advisors and CPAs lose critical meeting details between appointments. Here's why accounting firms need better documentation — and how AI solves the gap.
Apr 5, 2026
A detailed comparison of three AI meeting tools on recording method, accuracy, language support, privacy, and what you really pay.
Apr 4, 2026
We compared four AI note-taking tools on what changes daily use: capture method, privacy, pricing, and real-world flexibility.
Apr 3, 2026
Mental health clinicians spend 30–50% of working hours on documentation. Here's why it's driving burnout and what effective session documentation looks like.
Apr 3, 2026
Claims adjusters handle 80-120 active claims simultaneously. Here's why critical details slip through and what it takes to close the documentation gap.
Mar 12, 2026
Five distinct patterns driving enterprise voice AI adoption in 2026 — from compliance-first buying to in-person conversation capture.
Mar 8, 2026
Grand rounds, tumor boards, and M&M conferences produce the highest-density learning in medicine — and the worst documentation.
Mar 6, 2026
Keyword search can't handle vocabulary variation in meeting transcripts. Semantic search matches meaning instead of exact words.
Mar 5, 2026
Discovery calls surface 15-20 actionable data points per conversation. Most reps retain 30%. Here is how AI-powered note-taking captures the deal intelligence you are losing.
Mar 5, 2026
Most teams pick AI meeting tools based on features. Here are the five privacy and data handling questions you should ask first.
Mar 4, 2026
Deposition transcripts take days to arrive. AI-powered legal transcription delivers accurate, speaker-attributed records in minutes.
Mar 4, 2026
Real estate agents lose deals when they forget client details from showings and meetings. Here is what happens when every conversation becomes a searchable record.
Mar 3, 2026
SEC and FINRA enforcement actions hinge on client interaction records. Most firms still rely on handwritten notes.
Mar 2, 2026
Interviewers forget up to 50% of what candidates said within 24 hours. AI-powered transcription changes the hiring equation.
Mar 2, 2026
Without speaker attribution, even perfect transcripts are practically useless for professional use.
Feb 28, 2026
Reporters accurately recall only 40-60% of interview statements from memory. AI transcription changes the accuracy equation.
Feb 27, 2026
Most AI transcription tools nail the words but lose the people. Cross-session speaker memory changes the equation.
Feb 26, 2026
Consultants retain roughly 30% of what they hear in meetings. The real cost is lost pattern recognition.
Feb 25, 2026
The gap between what gets discussed and what gets documented costs real money in scrap, rework, and delays.
Feb 24, 2026
Board meetings generate the most sensitive conversations. Most documentation tools create more risk than they solve.
Feb 23, 2026
Legal professionals spend 5+ hours per week on meeting documentation. Here's what to look for in an AI note-taking solution.
Doctors spend hours documenting visits. On-device AI transcription offers a practical, HIPAA-friendly solution.
Not all AI notetakers are created equal. Here's a framework for evaluating what matters most.
Regulatory requirements demand accurate records. Here's how AI transcription creates searchable, timestamped audit trails.
How AI-powered transcription is making lectures more accessible while giving students a searchable study tool.
AI-powered search across all your client conversations means no detail falls through the cracks.