Rigorous, practitioner-authored handbooks and lecture series on AI Agents, AI Finance, AI Strategy, and AI for Good — written for leaders, researchers, and builders who need depth, not hype.
A rigorous deep-dive into multi-agent systems, agentic architectures, tool use, memory, planning, and autonomous workflows. The definitive practitioner guide to the agentic frontier.
The foundational volume — covering large language model agents, prompting, reasoning, and the building blocks of autonomous AI.
AI applications in financial markets, risk, trading, and quantitative analysis.
End-to-end guidance for planning, executing, and delivering AI projects in the enterprise.
A practical guide to understanding, selecting, and deploying AI models across real-world use cases.
How to build, govern, and execute an organizational AI strategy from the ground up.
Using artificial intelligence to address social challenges, sustainability, and human flourishing.
Illustrated allegories that make the ideas of artificial intelligence accessible to every reader.
Complete courses on AI Agents, AI for Finance, and AI for Good — freely available to every learner on the planet.
A comprehensive lecture series covering LLM agents, reasoning, planning, multi-agent systems, and the path to AGI.
View Series →Exploring how AI can be applied to solve social, environmental, and humanitarian challenges at scale.
View Series →The intersection of neural networks and symbolic reasoning — how machines learn and think beyond pattern matching.
Watch on YouTube →A foundational overview of the history, trajectory, and future of artificial intelligence as a field.
Watch on YouTube →
"We value working intelligence over comprehensive documentation. We value human collaboration over algorithm negotiation. We value responding to change over following a plan."
Eight books. Four lecture series. One mission: rigorous AI education for practitioners who need more than surface-level coverage.