Restructure economics doc into 27 org-roam interlinked nodes

Replace monolithic passepartout-economics.org with directory of
org-roam style nodes, each with :ID: property and cross-references
using [[id:uuid][title]] format.

27 nodes organized by theme:
- Core: index, triad overview, agora, stoa
- Revenue: verification appliance, domain gate packages, evaluation
  harness, skill marketplace, agora usernames, PDS service, compute marketplace
- Strategy: investment thesis, moats, licensing, patents, AI industry impact
- Analysis: lisp economics, sufficiency flip, time estimates, cost structure,
  gate rule encoding, upgrade lifecycle, biology parallels, symbolics comparison
- Big money: verification monopoly, infrastructure lock-in

Old file kept as archive with redirect links to new structure.

ideas/passepartout-economics/gate-rule-encoding.org

@@ -0,0 +1,19 @@
+:PROPERTIES:
+:ID:       45ea493b-94ad-5885-aa65-0c846e5c3c1d
+:END:
+#+title: Gate Rule Encoding from Codified Domains
+#+filetags: :passepartout:gates:rules:encoding:llm:translation:
+
+Laws, regulations, standards, procedures, and technical specifications are already written down in structured text. The LLM does not need to *reason* about them — it needs to *translate* them into gate rules and ACL2 theorems.
+
+Example: The US Federal Acquisition Regulation (FAR) is ~2,000 pages. A frontier LLM can ingest the FAR and produce a plist of gate rules:
+- (if contract > $250K AND not small-business-set-aside → :deny)
+- (if sole-source AND no justification-documented → :deny, produce-justification)
+
+ACL2 verifies the rule set for internal consistency. Screamer checks against existing compliance facts. The human reviews the bootstrap output and approves or corrects individual rules.
+
+The key distinction: the LLM is not *extracting knowledge from prose* — it is *translating a known rule system into a formal representation.* The result is not "the LLM's best guess" but "the rule set as stated in the source document, mechanically transcribed."
+
+For codified domains, the encoding cost drops from weeks to hours. The only bottleneck is human review of the 5% ambiguous rules.
+
+See also: [[id:efc76898-03f7-57ba-923d-35d65da88bb7][Sufficiency flip]], [[id:0b5a8a74-cfd6-542d-bc88-4eb3cd8626f9][Cost structure]], [[id:c34940cc-090e-57c4-8020-e78b1d32b96c][Domain gate packages]]