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AI fundamentals for founders and ops leaders

AI fundamentals for founders and ops leaders. Dejargonized.

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Every business now makes AI decisions: what to adopt, what to skip, what to trust with real work. Those calls land on founders, CXOs and ops leaders, and they deserve firmer ground than headlines and vendor demos. Horizon is that ground: how AI works, where it fails, and how it fits a real business, in plain English.

We wrote it because we needed it. Comet Lab puts AI to work inside company operations every day, and every engagement starts with the same questions. Horizon answers them once, at the right depth, in one place, open to anyone who has to decide.

Read the modules in order if you’re new to all this. Dip in anywhere if you’re not.

01 · AI Fundamentals

What's actually happening when AI answers: where the words come from, why some of them are made up, how much it can hold in its head, and why the way you ask changes what you get.

  1. 1.1 What an AI model actually is
  2. 1.2 Why AI hallucinates (makes things up)
  3. 1.3 What the context window is
  4. 1.4 Why prompts matter
  5. 1.5 How AI models are trained
  6. 1.6 What an AI model actually knows
  7. 1.7 AI, ML, LLM: what the words really mean
  8. 1.8 How AI generates a response, step by step
03 · What AI Can and Can't Do at Work

An honest account of what AI does well at work, where it fails, and the three ways to make it better at a specific job.

  1. 3.1 What AI is good at in business operations
  2. 3.2 What AI is bad at in business operations
  3. 3.3 How AI uses tools and memory
  4. 3.4 How AI connects to company systems
  5. 3.5 AI agents: when AI takes action
  6. 3.6 Why AI is unexpectedly good at code
  7. 3.7 Prompting, RAG, and fine-tuning
  8. 3.8 What gets built around the model
  9. 3.9 Testing AI before trusting it

The people at Comet Lab. We deploy AI inside our own work. We built Horizon to help others think clearly about deploying it inside theirs.

Chapters are added as the field moves and as gaps surface. If something here is wrong, or could be plainer, write to us at hello@cometlab.ai.