CAM Smith · AI Studio
Find the right questions before choosing a tool.
Explore what an AI system needs to do, how different approaches work, and which documented options may fit. The six areas are connected lenses, not a mandatory sequence.
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Six areas of applied AI
Start with the question you need to answer. Each area connects the work to functions, approaches, and evidence-backed examples.
- Area
Context & Knowledge
Make the information and concepts a system relies on explicit.
What does the system need to know, and how is that knowledge made explicit?
- Area
Data & Preparation
Turn incoming information into usable, documented material.
What information enters the system, and what must happen before it can be used?
- Area
Computational Models
Explore identifiable models by the functions they are designed to provide.
What computational model could provide the required function?
- Area
Retrieval, Memory & State
Preserve information and make relevant prior material available when needed.
What information can the system preserve, locate, recover, and maintain over time?
- Area
Composition & Runtime
Assemble components and operate the flow of work between them.
How are components assembled, invoked, coordinated, and operated?
- Area
Governance, Evaluation & Assurance
Set constraints, examine behavior, and make accountability visible.
How is the system constrained, observed, evaluated, and held accountable?
Start with an outcome
Functions first
A function describes what you need to achieve. Follow it to approaches, implementations, standards, and model releases.
Explore functions →Go deeper
Computational models
Compare identifiable models by their designed functions, evidence, variants, and availability.
Explore models →