Productivity “hacks” don’t work. These do. - If you don’t have a to do list and use your calendar, start with that and ignore all other productivity improvement advice.
Tips on Using LLMs (AI) Effectively for Text - “If you take away one thing from this, it’s that asking the LLM things, rather than using it to generate copy and paste text, is almost always a better use case."
Hitting OKRs vs Doing Your Job - “OKRs say what is different this quarter, what we’re changing, and what we’re trying to figure out.” // Also, why OKRs work better in marketing than in product.
They squandered the holy grail - “Writing Tools is basically useless for me. It’s just a way to get a slightly worse version of what I already have the ability to make myself better."
Big Tech is pushing ‘AI agents.’ They’ll need intimate access to your data. - (1) The next big bump in AI productivity and change will come when enterprises give it access to all the data, (2) historically, access to data for the people who need it is a huge bottleneck, (3) give the advertising tech (Google, Facebook, etc.) access to all your personal data…what could go wrong?!
How to break free from your “toxic productivity” cycle - “if you’re not able to carve out even 20 minutes for yourself, then something needs to change in your life.” // Tools that find the priorities are hard: “We hear a lot about how to optimize for productivity, but what we don’t have is the emotional awareness and emotional intelligence around why we pursue the things we pursue."
Why are corporations cutting managers? - “a large share of a company’s work force does not produce widgets. Instead, they produce organizational capital.” // Also, what if employee (individual contributor) productivity meant less managers?
Public Domain Day 2025 | Duke University School of Law - “The literary highlights from 1929 include The Sound and the Fury by William Faulkner, A Farewell to Arms by Ernest Hemingway, and A Room of One’s Own by Virginia Woolf."
Cognitive load is what matters - Legacy software can mean: when changing the code requires too much cognitive load.
Integrating AI Agents into Companies - Changing how organizations work to fit what AI can do. Also, you need context about the organization: as always access to data will be a bottleneck, which is to say, governance and meetings.