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For product & program managers

AI, without the hand-waving.

Making AI understandable for product and program managers.

Understand Apply Discover

Clear explanations · Practical examples · No AI hype

RAGWhere does the answer come from?
HallucinationWhy does it make things up?
EvaluationHow do we know it works?
AI systemsHow do the pieces fit?
TokensWhy does it read in pieces?
AgentsWhen does it act on its own?
Illustration: AI concepts connected

Start where you are

Understand AI: concepts, systems and development

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AI concepts, explained

Decode the terminology you've heard in meetings, docs and demos.

LLMs · Tokens · Embeddings · RAG · Agents

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How AI systems work

See how the pieces fit together, and where a system can break.

Prompts · Context · Loops · Harnesses

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Building and shipping AI

Connect technical choices to quality, risk, launch and monitoring.

Evaluation · Testing · Reliability · Launch

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The practitioner's edge

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Featured field note

Frontier models: pick for the job, not the score

Why the top benchmark score is rarely the right reason to choose a model for your work.

Read the guide →
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Featured framework

Prompt, Context, Loop, Harness

A practical mental model for figuring out which part of an AI system needs attention.

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Featured field guide

LLM Evaluation Is a Program Management Problem

Why defining quality, assigning ownership and monitoring performance matter beyond launch.

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Need a quick definition?

Looking for a specific term?

Browse the A–Z glossary for concise explanations, examples and links to deeper guides.

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One concept at a time

Be the person who asks the better question.

Get clear explanations of AI concepts and practical perspectives for building reliable AI products and programs.

Latest field notes

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Frontier models: pick for the job, not the score

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