AI Principles
Has an invisible intelligence used humans as a vehicle to evolve itself into superior form?
The A in ABCD. Intelligence layer — pattern recognition, automation, reasoning.
What Is This?
Principles explains the primitives: AI, models, modalities, context, memory, agents, autonomy, protocols, and the glossary.
Who Is It For?
Use this section when the team needs shared language before debating strategy, tools, or implementation.
Where Should I Start?
Start with the AI Glossary, then move to AI Architecture when you need to understand how agent systems fit together.
What Should I Read Next?
- Work Mapping — apply the primitives to real business workflows.
- AI Toolkit — choose models, prompts, skills, and tools.
- AI Agents — see autonomous AI agents and named profiles.
Diagrams | Matrices | Thinkers
Feedback loops shape our destiny
Concepts
| Concept | What It Covers |
|---|---|
| Modalities | What AI can do — voice, vision, video, audio, 3D (moved to Products) |
| LLM Models | Comparisons and use cases of leading providers |
| Prompting | The base capability — directing intelligence across modalities |
| Agent Protocols | How AI agents communicate, transact, and coordinate |
| AI Frameworks | Engineer a platform for developing agents |
| AI Coding | Develop software through prompting intentions |
| Context Graphs | How agents access decision context — the memory layer |
| AI Agents | Develop your own workforce |
Context
- Decisions — How AI helps make better decisions
- Culture — The greatest asset of any economy
- Capabilities — Soon the prompters become the prompted
- Protocols — Where blockchain meets AI coordination
- Agency — What AI amplifies in humans
- Problems — Centralisation of AI development
- Deterministic vs Probabilistic — AI is probabilistic intelligence layered on deterministic infrastructure
Links
Where This Leads
Principles meet substrate. Compute, data, and energy are the rails the intelligence layer rides on.
- AI compute industry — the silicon and the grid
- AI data industry — sovereign inputs, agent memory
- Energy industry — the watt that becomes a thought
Back to the AI overview.
Questions
Has intelligence used humans as a vehicle to evolve itself into superior form — or are we the ones evolving through the tools we build?
- Which concept in the table above has the highest return on understanding for someone building their first AI product?
- When the model IS the matrix — any input to any output — what happens to the specialist tools that currently fill individual cells?
- What's the risk of building on closed-source intelligence when open-source alternatives are closing the gap every quarter?