
A LessWrong author surveyed their own AI usage patterns and found themselves using AI assistance for hours every day across work tasks, alongside colleagues doing the same. Recent surveys show over 50% of Americans have used AI to help with work in the past week, yet most people — outside of AI marketing personalities on Twitter and LinkedIn — keep their experiments private and undocumented.
The author's team built a custom office system (Omnilog) that records all spoken meetings, transcribes them automatically (using ElevenLabs, a speech-to-text service), and identifies who said what (using Pyannote.ai, a speaker-recognition tool) — then summarizes the conversations. This represents a shift from general-purpose AI chatbots to specialized workplace tools that solve specific organizational problems like institutional memory and meeting documentation.
For business professionals and team leads, this signals that AI adoption is already happening in your workplace — colleagues are using it for email drafting, meeting transcription, and task assistance — but there's no standard playbook yet. Organizations that systematize their AI usage (rather than leaving it to individual preference) may gain an advantage in reducing repetitive work, though setup requires some technical effort.
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