Hey friends,
It’s August which means that we are officially counting down the days until our trip around the world. I’ve been building up some homeschooling curriculums for our 9 year old.
Don’t worry though, both newsletters and the Invest with AI podcast will continue uninterrupted.
If you’re new here, every week I curate the top AI posts, articles, podcasts, tweets and tutorials (so that you don’t have to).
Let’s jump in.
Why AI might create more work for lawyers — Great discussion on the second order effects of lawyers working faster thanks to AI tools like Harvey and Legora.
An opinionated guide to choosing the right AI tool — Ethan Mollick explains the difference between web chat and agentic systems like Cowork and Codex.
Why agentic systems need ontologies — As your context grows, a domain expert needs to create “maps” (or ontologies) of your company’s knowledge (especially if you’re creating self-improving wikis).
Cowork comes to the cloud — A small update with a big impact. It’s now safe to close your laptop!
Get 30% off our AI Accelerator course — Learn how to build agents for knowledge work and use code CHIEF-OF-STAFF.
Our complete AI resource guide — A comprehensive list of the best podcasts, Twitter follows and email newsletters for all levels of AI fluency.
Jason Liu’s complete ChatGPT Work and Codex system at OpenAI — Detailed walk-through of Codex as a chief of staff.
The new rules of context engineering for Claude 5 — Skills need fewer instructions, less guardrails and less examples.
How Codex Voice Mode turns AI into an ambient assistant — This is blowing up on X (and I still need to try it).
How OpenAI lost its AI crown — and the race to bring it back — Long-time readers know that Claude went on a tear in 2026, but ChatGPT/Codex are getting really good (and are cheaper than Opus).
The rise of million-dollar one-person companies — It’s easier than ever to scale yourself, but should you do it?
Why enterprise context requires more than indexing — Glean’s co-founder on the intricacies of managing massive amounts of company-wide context.
How to experiment with powerful models like Fable — Are the models becoming “too intelligent?” Or are you suffering from a lack of creativity?
Understanding is the new bottleneck — 3 techniques to ensure you understand the work your agents are producing.
How AI inference markets work — If models get commoditized by open source is the end game maximizing compute and inference?
Are you still using AI mostly for search, summaries, and one-off prompts?
Learn to turn Claude Cowork and Claude Code into practical workflows for research, meeting prep, reporting, and repetitive analysis — without becoming an engineer.
After this self-paced course, you’ll go from experimenting with AI to building tools that create real leverage for you and your team.
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