The Intelligence Assembly deck
A systems deck on assembling intelligence from models, tools, memory, and runtime discipline.
Resource Highlights
- Why intelligence emerges from assembly design, not model choice alone
- How memory, retrieval, tools, and policy layers coordinate at runtime
- Failure points to watch when orchestration grows faster than governance
- Related systems doc: Why the Loop Outlives the Model - The case for designing the system, not just selecting a model.
- Related systems doc: How the Parts of an AI Application Depend on Each Other - What each part establishes, and what the next one assumes.
- Related systems doc: Retrieval-Augmented Generation in Plain Terms - Getting the right material in front of the model.
- Related systems doc: What Has to Survive for Work to Continue - What must be preserved for work to continue across sessions and actors.
- Related systems doc: Skills vs prompts vs agents - Clarifies the parts that get composed into larger intelligent behavior.
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