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Patent Strategy
Likely patentable:
- Probabilistic-deterministic split with deterministic gates between LLM proposal and execution (vs every competitor using prompt-based guardrails)
- Foveal-peripheral context model with Org-tree structured retrieval (targets 2,000-4,000 tokens)
- Merkle-tree memory with copy-on-write snapshots and operation-level undo/redo
- Gate-to-fact bootstrap with sufficiency criterion (mechanically extracting facts from gate stack data structures)
- Macro-layer-as-skill bootstrapping architecture (theorem-proving as hot-reloadable skills)
Likely not patentable (known techniques):
- ACL2 itself (decades old)
- Screamer for consistency checking (obvious application)
- Hot-reloadable skills (40 years old)
- Org-mode as a data format
Strongest single claim: The specific combination of probabilistic model + deterministic zero-token safety gates + Merkle memory + symbolic engine with sufficiency criterion. Each element is known; the combination is novel and non-obvious.
Counterargument: A patent examiner will argue these are standard OS microkernel architecture, locality of reference, content-addressed storage, and capability-based security applied to an AI agent. The defense: they have never been combined in an AI agent, producing emergent effects no single principle produces.