Co-Intelligence
Ethan Mollick
A practical companion for readers who want to bring AI into real work without turning every task into a technical experiment.
This is the part of the site where the pace slows down. Read the core book on the page, keep it on Amazon if you want it in your Kindle library, and move from the book into memories, AGI, and ChipOS when you are ready.

The main book stays free to read on this site. Amazon is the secondary path, not the first one.
An AI book about how to design with AI
The same book lands differently depending on the reader. These paths help people enter through the pressure they already live with.
Build with clearer decisions, tighter workflows, and more grounded AI judgment.
Open pathUse AI without losing trust, taste, or your own voice.
Open pathDraft faster while keeping structure, authorship, and editorial depth.
Open pathTurn scattered AI usage into a shared method that holds up inside a company.
Open pathThat is why the work often feels noisy, repetitive, and unstable. The books are here to give readers a stronger foundation before they automate more, publish more, or rely on AI more deeply.
AI becomes noise, drift, and endless correction. The tool speaks, but the work does not really move.
You guide the machine with clearer structure, steadier intent, and language that holds together.
AI becomes a durable support layer for thinking, writing, and execution instead of a source of friction.
This section is not only about our own book. It should also point readers toward other strong books that help them build a better frame around AI.
Ethan Mollick
A practical companion for readers who want to bring AI into real work without turning every task into a technical experiment.
Stuart Russell
A strong grounding in alignment, control, and why intelligence without the right objective can still fail badly.
Mustafa Suleyman and Michael Bhaskar
Useful for understanding the wider economic and political pressure around advanced AI systems.
Kate Crawford
A good counterweight for readers who want to keep the shelf honest about labor, power, and infrastructure.
The books give the foundation. The memories show how the thinking evolves through real questions, practical use, and slower reflection.

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Read the memoryThe books are the doctrine layer. AGI and ChipOS show how that thinking becomes a model, then becomes an operating system.
Start with the online edition here, then move into memories and concepts when you want to take the ideas further.