diff --git a/core/grand-strategy/hybrid-flow-shop-pipelines-with-few-stages-and-homogeneous-workers-perform-within-5-10-percent-of-optimal-with-simple-priority-dispatching-rules.md b/core/grand-strategy/hybrid-flow-shop-pipelines-with-few-stages-and-homogeneous-workers-perform-within-5-10-percent-of-optimal-with-simple-priority-dispatching-rules.md
new file mode 100644
index 000000000..bff90cfe5
--- /dev/null
+++ b/core/grand-strategy/hybrid-flow-shop-pipelines-with-few-stages-and-homogeneous-workers-perform-within-5-10-percent-of-optimal-with-simple-priority-dispatching-rules.md
@@ -0,0 +1,32 @@
+---
+type: claim
+domain: grand-strategy
+description: "For 3-5 stage pipelines with parallel homogeneous workers per stage, FIFO and shortest-job-first dispatching achieve near-optimal throughput — genetic algorithms and simulated annealing are unnecessary overhead at this scale."
+confidence: likely
+source: "rio via ScienceDirect FJSP review (2023) — hybrid flow-shop scheduling literature"
+created: 2026-03-12
+depends_on: []
+---
+
+# Hybrid flow-shop pipelines with few stages and homogeneous workers per stage perform within 5-10% of optimal with simple priority dispatching rules
+
+Scheduling theory literature on the Flexible Job Shop Scheduling Problem establishes a key structural insight: pipeline complexity varies dramatically with topology. The classical Job Shop Scheduling Problem — where jobs can follow arbitrary machine sequences — is NP-complete for more than 2 machines. The Flexible JSSP generalizes this further by allowing each operation to run on any eligible machine, adding machine assignment as an additional decision variable.
+
+The hybrid flow-shop is a structurally simpler variant: all jobs follow the same stage sequence, but multiple machines operate in parallel within each stage and any machine within a stage can handle the job. This is the topology of most multi-agent processing pipelines (e.g., research → extract → evaluate with multiple workers per stage).
+
+A 2023 ScienceDirect review of FJSP literature establishes that for hybrid flow-shops with relatively few stages and homogeneous workers within each stage, simple priority dispatching rules — shortest-job-first, FIFO within priority classes — perform within 5-10% of the theoretical optimum. Metaheuristics (genetic algorithms, simulated annealing, tabu search) dominate for NP-hard general instances but are unnecessary overhead at small stage counts with worker homogeneity.
+
+The design implication: pipeline investment should go into clear dispatching rules and priority ordering, not optimization algorithms. The topology's simplicity makes sophisticated search unnecessary.
+
+## Challenges
+
+This bound assumes worker homogeneity within stages. If workers vary significantly in processing speed or quality (heterogeneous workers), the gap between simple dispatching and optimal widens and metaheuristics may recover value. Multi-agent reinforcement learning is emerging as the approach for this heterogeneous, uncertain case.
+
+---
+
+Relevant Notes:
+- [[designing coordination rules is categorically different from designing coordination outcomes as nine intellectual traditions independently confirm]] — dispatching rules are coordination rules; this claim grounds the specific complexity bound for pipeline-scale problems
+- [[mechanism design enables incentive-compatible coordination by constructing rules under which self-interested agents voluntarily reveal private information and take socially optimal actions]] — dispatching rules are a simpler variant of mechanism design where incentive compatibility is not required
+
+Topics:
+- [[_map]]
diff --git a/entities/internet-finance/futara.md b/entities/internet-finance/futara.md
new file mode 100644
index 000000000..3868a7d00
--- /dev/null
+++ b/entities/internet-finance/futara.md
@@ -0,0 +1,27 @@
+---
+type: entity
+entity_type: company
+name: "FUTARA"
+domain: internet-finance
+status: failed
+platform: futardio
+tracked_by: rio
+created: 2026-03-11
+key_metrics:
+  funding_target: "$50,000"
+  launch_date: "2026-03-04"
+  close_date: "2026-03-04"
+  outcome: "refunding"
+---
+
+# FUTARA
+
+FUTARA was a futarchy-governed fundraise on futard.io that launched and failed on the same day (2026-03-04). The project described itself as the "og futardio mascot" and sought $50,000 in funding. The launch entered refunding status without reaching its target, closing on the same day it launched.
+
+## Timeline
+- **2026-03-04** — Launched on futard.io with $50,000 funding target
+- **2026-03-04** — Closed and entered refunding status (failed)
+
+## Relationship to KB
+- [[futardio]] — platform where launch occurred
+- Example of failed futarchy-governed fundraise on MetaDAO infrastructure
diff --git a/entities/internet-finance/milo-ai-agent.md b/entities/internet-finance/milo-ai-agent.md
new file mode 100644
index 000000000..556cfd639
--- /dev/null
+++ b/entities/internet-finance/milo-ai-agent.md
@@ -0,0 +1,32 @@
+---
+type: entity
+entity_type: company
+name: "MILO AI Agent"
+domain: internet-finance
+status: failed
+founded: 2026
+platform: futardio
+tracked_by: rio
+created: 2026-03-11
+key_metrics:
+  funding_target: "$250,000"
+  total_committed: "$200"
+  launch_date: "2026-03-03"
+  close_date: "2026-03-04"
+  outcome: "refunding"
+---
+
+# MILO AI Agent
+
+MILO is a mobile AI real estate agent built for the Charleston, Berkeley, and Dorchester County markets in South Carolina. Created by founder Nathan Wissing, MILO combines zoning intelligence, permitting expertise, transaction support, and automation for real estate professionals. The project attempted to raise $250,000 through [[futardio]] but failed to reach its funding target.
+
+## Timeline
+
+- **2026-03-03** — Launched fundraise on [[futardio]] with $250K target for hyper-local AI real estate agent serving Lowcountry SC market
+- **2026-03-04** — Fundraise closed in refunding status with only $200 committed (0.08% of target)
+
+## Relationship to KB
+
+- [[futardio]] — launch platform
+- Example of failed futarchy-governed fundraise with minimal market interest
+- Represents vertical AI agent approach (real estate-specific vs general purpose)
diff --git a/foundations/collective-intelligence/sequential multi-stage pipelines with parallel workers at each stage achieve near-optimal scheduling with simple priority dispatching rules.md b/foundations/collective-intelligence/sequential multi-stage pipelines with parallel workers at each stage achieve near-optimal scheduling with simple priority dispatching rules.md
new file mode 100644
index 000000000..ece44d6bf
--- /dev/null
+++ b/foundations/collective-intelligence/sequential multi-stage pipelines with parallel workers at each stage achieve near-optimal scheduling with simple priority dispatching rules.md	
@@ -0,0 +1,35 @@
+---
+type: claim
+domain: collective-intelligence
+description: "For hybrid flow-shops with few stages (≤5) and roughly homogeneous workers within each stage, priority dispatching rules (shortest-job-first, FIFO) perform within 5-10% of optimal, making metaheuristic complexity unjustified"
+confidence: likely
+source: "Rio, via ScienceDirect FJSP review (2023); hybrid flow-shop scheduling OR literature"
+created: 2026-03-12
+depends_on: []
+challenged_by: []
+---
+
+# sequential multi-stage pipelines with parallel workers at each stage achieve near-optimal scheduling with simple priority dispatching rules
+
+For knowledge production pipelines with a fixed stage sequence and multiple parallel workers at each stage — the structure operations research calls a **hybrid flow-shop** — simple priority dispatching rules (shortest-job-first, FIFO within priority classes) perform within 5-10% of optimal scheduling, as documented in the flexible job shop scheduling literature.
+
+The general Flexible Job Shop Scheduling Problem (FJSP) is NP-complete and motivates complex metaheuristic approaches — genetic algorithms, simulated annealing, tabu search. But those approaches are justified for *general* job-shops: many machines, heterogeneous capabilities, variable routing, dynamic task arrival. A hybrid flow-shop occupies a computationally easier subclass. When stage count is low (≤5) and workers within each stage have roughly similar throughput, the search space contracts enough that simple rules close the gap to within 5-10% of optimum. The engineering overhead of implementing metaheuristics is rarely justified in that regime.
+
+**Structural conditions that make dispatching rules sufficient:**
+- Fixed stage sequence (all work items follow the same path through stages — no job-shop branching)
+- Multiple workers at each stage, each roughly interchangeable within a stage
+- Low stage count (3-5 stages)
+- Within-stage worker homogeneity (similar throughput distributions per stage)
+
+**When this breaks down:** When worker heterogeneity *within* a stage becomes significant — due to specialization, skill variation, or domain-specific task-worker fit — the problem shifts toward the general FJSP and machine-assignment decisions carry more weight. In that regime, the OR literature increasingly favors multi-agent reinforcement learning for dynamic scheduling, which can adapt to uncertainty and worker heterogeneity that static rules cannot handle.
+
+The practical implication: before investing in sophisticated scheduling infrastructure for a multi-stage pipeline, verify whether the hybrid flow-shop conditions hold. If they do, a well-chosen dispatching rule (shortest-job-first for throughput, priority-FIFO for deadline compliance) likely dominates the engineering tradeoff.
+
+---
+
+Relevant Notes:
+- [[designing coordination rules is categorically different from designing coordination outcomes as nine intellectual traditions independently confirm]] — pipeline scheduling is coordination rule design; optimal rules emerge from structural analysis, not outcome optimization
+- [[protocol design enables emergent coordination of arbitrary complexity as Linux Bitcoin and Wikipedia demonstrate]] — simple rules generalize: dispatching rules are protocols that produce efficient coordination without centralized control
+
+Topics:
+- [[_map]]
diff --git a/inbox/archive/2020-12-00-da-costa-active-inference-discrete-state-spaces.md b/inbox/archive/2020-12-00-da-costa-active-inference-discrete-state-spaces.md
index ac46660f5..7750505af 100644
--- a/inbox/archive/2020-12-00-da-costa-active-inference-discrete-state-spaces.md
+++ b/inbox/archive/2020-12-00-da-costa-active-inference-discrete-state-spaces.md
@@ -7,9 +7,14 @@ date: 2020-12-01
 domain: ai-alignment
 secondary_domains: [critical-systems]
 format: paper
-status: unprocessed
+status: null-result
 priority: medium
 tags: [active-inference, tutorial, discrete-state-space, expected-free-energy, variational-free-energy, planning, decision-making]
+processed_by: theseus
+processed_date: 2026-03-11
+enrichments_applied: ["structured exploration protocols reduce human intervention by 6x because the Residue prompt enabled 5 unguided AI explorations to solve what required 31 human-coached explorations.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Technical reference paper for discrete-state active inference. Extracted two core claims about the VFE/EFE distinction and the unification of existing frameworks under free energy minimization. One enrichment connecting formal active inference theory to the existing Residue prompt claim. This provides mathematical foundation for implementing EFE-based research direction selection in KB architecture."
 ---
 
 ## Content
diff --git a/inbox/archive/2022-03-09-imf-costa-rica-ebais-primary-health-care.md b/inbox/archive/2022-03-09-imf-costa-rica-ebais-primary-health-care.md
index 3ffe2a64f..6be048878 100644
--- a/inbox/archive/2022-03-09-imf-costa-rica-ebais-primary-health-care.md
+++ b/inbox/archive/2022-03-09-imf-costa-rica-ebais-primary-health-care.md
@@ -7,9 +7,14 @@ date: 2022-03-09
 domain: health
 secondary_domains: []
 format: report
-status: unprocessed
+status: null-result
 priority: high
 tags: [costa-rica, ebais, primary-health-care, international-comparison, spending-efficiency, blue-zone]
+processed_by: vida
+processed_date: 2026-03-11
+enrichments_applied: ["medical care explains only 10-20 percent of health outcomes because behavioral social and genetic factors dominate as four independent methodologies confirm.md", "pace-demonstrates-integrated-care-averts-institutionalization-through-community-based-delivery-not-cost-reduction.md", "the healthcare attractor state is a prevention-first system where aligned payment continuous monitoring and AI-augmented care delivery create a flywheel that profits from health rather than sickness.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Two new claims extracted: (1) Costa Rica as proof that prevention-first primary care at national scale achieves peer outcomes at fraction of US cost, (2) geographic empanelment as the structural mechanism enabling population health management. Three enrichments: extends the 10-20% medical care claim with strongest international counterfactual, extends PACE claim with national-scale comparison, confirms healthcare attractor state but challenges whether technology is prerequisite vs accelerant. Key insight: EBAIS-PACE comparison reveals same clinical model, wildly different scale — difference is political economy not care design."
 ---
 
 ## Content
@@ -58,3 +63,12 @@ tags: [costa-rica, ebais, primary-health-care, international-comparison, spendin
 PRIMARY CONNECTION: [[medical care explains only 10-20 percent of health outcomes because behavioral social and genetic factors dominate as four independent methodologies confirm]]
 WHY ARCHIVED: First international health system deep-dive in the KB. Costa Rica is the strongest counterfactual to US healthcare spending.
 EXTRACTION HINT: The EBAIS-PACE comparison is where the real insight lives. Same model, same concept — wildly different scale. What's different? Political economy, not clinical design.
+
+
+## Key Facts
+- Costa Rica life expectancy: 81.5 years (female), 76.7 years (male) — second in Americas
+- Costa Rica healthcare spending: 1/10 per capita vs US, below world average as % of income
+- EBAIS introduced 1994, covers 5 million population
+- EBAIS team composition: doctor, nurse, technical assistant, medical clerk, pharmacist
+- EBAIS districts show 8% lower child mortality, 2% lower adult mortality, 14% decline in communicable disease deaths
+- Nicoya Peninsula is one of 5 global Blue Zones, but Costa Rica's health outcomes are national not regional
diff --git a/inbox/archive/2023-00-00-sciencedirect-flexible-job-shop-scheduling-review.md b/inbox/archive/2023-00-00-sciencedirect-flexible-job-shop-scheduling-review.md
index 6aace99b8..29976f9fd 100644
--- a/inbox/archive/2023-00-00-sciencedirect-flexible-job-shop-scheduling-review.md
+++ b/inbox/archive/2023-00-00-sciencedirect-flexible-job-shop-scheduling-review.md
@@ -6,7 +6,13 @@ url: https://www.sciencedirect.com/science/article/pii/S037722172300382X
 date: 2023-01-01
 domain: internet-finance
 format: paper
-status: unprocessed
+status: processed
+processed_by: rio
+processed_date: 2026-03-12
+claims_extracted:
+  - foundations/collective-intelligence/sequential multi-stage pipelines with parallel workers at each stage achieve near-optimal scheduling with simple priority dispatching rules.md
+enrichments: []
+notes: "Source tagged internet-finance but contains no internet-finance claims. Single claim extracted to collective-intelligence — scheduling theory applied to pipeline architecture. Domain mismatch in source metadata."
 tags: [pipeline-architecture, operations-research, combinatorial-optimization, job-shop-scheduling, flexible-scheduling]
 ---
 
diff --git a/inbox/archive/2025-00-00-mats-ai-agent-index-2025.md b/inbox/archive/2025-00-00-mats-ai-agent-index-2025.md
index a6df28ea9..463e17a53 100644
--- a/inbox/archive/2025-00-00-mats-ai-agent-index-2025.md
+++ b/inbox/archive/2025-00-00-mats-ai-agent-index-2025.md
@@ -7,9 +7,14 @@ date: 2025-01-01
 domain: ai-alignment
 secondary_domains: []
 format: report
-status: unprocessed
+status: null-result
 priority: medium
 tags: [AI-agents, safety-documentation, transparency, deployment, agentic-AI]
+processed_by: theseus
+processed_date: 2026-03-11
+enrichments_applied: ["voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints.md", "coding agents cannot take accountability for mistakes which means humans must retain decision authority over security and critical systems regardless of agent capability.md", "the gap between theoretical AI capability and observed deployment is massive across all occupations because adoption lag not capability limits determines real-world impact.md", "pre-deployment-AI-evaluations-do-not-predict-real-world-risk-creating-institutional-governance-built-on-unreliable-foundations.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted two claims documenting the agent-specific safety gap and applied four enrichments to existing alignment claims. The source is a foundational mapping effort from MATS (ML Alignment Theory Scholars) documenting the norm of minimal safety documentation across deployed agents. Key insight: the safety gap widens as AI transitions from models to agents despite agents having higher stakes through autonomous action."
 ---
 
 ## Content
@@ -43,3 +48,9 @@ Key findings:
 PRIMARY CONNECTION: [[voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints]]
 WHY ARCHIVED: Documents the agent-specific safety gap — agents act autonomously but have even less safety documentation than base models
 EXTRACTION HINT: The key finding is the NORM of minimal safety documentation across 30 deployed agents. This extends the alignment gap from models to agents.
+
+
+## Key Facts
+- MATS surveyed 30 state-of-the-art AI agents (2025)
+- Survey documented origins, design, capabilities, ecosystem characteristics, and safety features through publicly available information and developer correspondence
+- Most agents deployed for professional and personal tasks with limited human involvement
diff --git a/inbox/archive/2025-02-24-futardio-proposal-mtn-meets-meta-hackathon.md b/inbox/archive/2025-02-24-futardio-proposal-mtn-meets-meta-hackathon.md
index 83383246b..4cb36e1a1 100644
--- a/inbox/archive/2025-02-24-futardio-proposal-mtn-meets-meta-hackathon.md
+++ b/inbox/archive/2025-02-24-futardio-proposal-mtn-meets-meta-hackathon.md
@@ -6,9 +6,13 @@ url: "https://www.futard.io/proposal/9ZYMaLKWn9PSLTX1entmqJUYBiCkZbRxeRz1tVvYwqy
 date: 2025-02-24
 domain: internet-finance
 format: data
-status: unprocessed
+status: null-result
 tags: [futardio, metadao, futarchy, solana, governance]
 event_type: proposal
+processed_by: rio
+processed_date: 2026-03-11
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Single failed proposal from a hidden test DAO. No novel mechanism insights or governance dynamics worth extracting as claims. The proposal itself is significant enough to document as a decision_market entity showing futarchy governance in action, but contains no arguable propositions about mechanism design or organizational behavior. The AI-generated impact analysis sections were ignored as auto-generated noise per extraction rules."
 ---
 
 ## Proposal Details
@@ -50,3 +54,9 @@ But you have access to the data via API so here you are!
 - Autocrat version: 0.3
 - Completed: 2025-02-27
 - Ended: 2025-02-27
+
+
+## Key Facts
+- Test DAO proposal 9ZYMaLKWn9PSLTX1entmqJUYBiCkZbRxeRz1tVvYwqy6 for mtn Meets META Hackathon failed (2025-02-24 to 2025-02-27)
+- Test DAO is a hidden DAO with account GWywkp2mY2vzAaLydR2MBXRCqk2vBTyvtVRioujxi5Ce
+- Proposal used Autocrat v0.3 governance mechanism
diff --git a/inbox/archive/2025-09-00-orchestrator-active-inference-multi-agent-llm.md b/inbox/archive/2025-09-00-orchestrator-active-inference-multi-agent-llm.md
index f32c1e0c1..72d9b5c16 100644
--- a/inbox/archive/2025-09-00-orchestrator-active-inference-multi-agent-llm.md
+++ b/inbox/archive/2025-09-00-orchestrator-active-inference-multi-agent-llm.md
@@ -7,9 +7,14 @@ date: 2025-09-06
 domain: ai-alignment
 secondary_domains: [collective-intelligence]
 format: paper
-status: unprocessed
+status: null-result
 priority: high
 tags: [active-inference, multi-agent, LLM, orchestrator, coordination, long-horizon, partial-observability]
+processed_by: theseus
+processed_date: 2026-03-11
+enrichments_applied: ["AI agent orchestration that routes data and tools between specialized models outperforms both single-model and human-coached approaches because the orchestrator contributes coordination not direction.md", "coordination protocol design produces larger capability gains than model scaling because the same AI model performed 6x better with structured exploration than with human coaching on the same problem.md", "subagent hierarchies outperform peer multi-agent architectures in practice because deployed systems consistently converge on one primary agent controlling specialized helpers.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "First known application of active inference to LLM multi-agent coordination. Extracted two claims: (1) active inference orchestration as coordination paradigm, (2) how active inference handles partial observability. Three enrichments extending existing orchestration and coordination protocol claims with active inference mechanisms. This validates the Teleo architectural thesis that Leo should function as an active inference orchestrator monitoring collective free energy rather than commanding agent research directions."
 ---
 
 ## Content
@@ -54,3 +59,10 @@ Complex, non-linear tasks challenge LLM-enhanced multi-agent systems (MAS) due t
 PRIMARY CONNECTION: "AI agent orchestration that routes data and tools between specialized models outperforms both single-model and human-coached approaches"
 WHY ARCHIVED: First known application of active inference to LLM multi-agent coordination — validates our architectural thesis and provides implementation patterns for Leo's orchestrator role
 EXTRACTION HINT: Focus on the monitoring-and-adjusting pattern vs command-and-control, and the benchmark-driven introspection mechanism
+
+
+## Key Facts
+- Published on arXiv September 2025
+- Introduces Orchestrator framework for multi-agent LLM systems
+- Uses variational free energy (VFE) minimization as coordination mechanism
+- Implements benchmark-driven introspection to track agent-environment dynamics
diff --git a/inbox/archive/2025-12-25-chipprbots-futarchy-private-markets-long-arc.md b/inbox/archive/2025-12-25-chipprbots-futarchy-private-markets-long-arc.md
index 30c453a7d..e6cce69b6 100644
--- a/inbox/archive/2025-12-25-chipprbots-futarchy-private-markets-long-arc.md
+++ b/inbox/archive/2025-12-25-chipprbots-futarchy-private-markets-long-arc.md
@@ -6,10 +6,15 @@ url: https://chipprbots.com/2025/12/25/futarchy-private-markets-and-the-long-arc
 date: 2025-12-25
 domain: internet-finance
 secondary_domains: [mechanisms]
-format: article
-status: unprocessed
+format: report
+status: null-result
 priority: medium
 tags: [futarchy, private-markets, governance, infrastructure, stablecoins, privacy]
+processed_by: rio
+processed_date: 2026-03-11
+enrichments_applied: ["futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Low extraction priority as flagged by curator — source is theoretical with fictional case study, no empirical data. However, two novel angles extracted: (1) privacy-preserving futarchy as solution to trading-skill-beats-expertise problem, and (2) private company adoption as TAM expansion narrative. Both claims rated speculative due to lack of empirical evidence. Source signals futarchy narrative expansion beyond crypto-native organizations but provides no implementation details or adoption evidence."
 ---
 
 ## Content
@@ -41,3 +46,9 @@ tags: [futarchy, private-markets, governance, infrastructure, stablecoins, priva
 PRIMARY CONNECTION: [[Internet finance is an industry transition from traditional finance where the attractor state replaces intermediaries with programmable coordination and market-tested governance]]
 WHY ARCHIVED: Signals futarchy interest from outside crypto-native ecosystem — private market governance application
 EXTRACTION HINT: Low priority for direct claims; useful as evidence of futarchy's expanding narrative reach beyond crypto
+
+
+## Key Facts
+- Chippr Robotics is a robotics/automation company with a blog covering governance innovation, representing futarchy interest from outside crypto-native ecosystem
+- Source traces futarchy history from Robin Hanson's original proposal through early Ethereum governance discussions
+- Fictional 'ClearPath' case study describes manufacturing stakeholders using prediction markets for facility expansion decisions with EBITDA growth metrics
diff --git a/inbox/archive/2026-00-00-bankless-beauty-of-futarchy.md b/inbox/archive/2026-00-00-bankless-beauty-of-futarchy.md
index 7a9443e65..4fd7e75ee 100644
--- a/inbox/archive/2026-00-00-bankless-beauty-of-futarchy.md
+++ b/inbox/archive/2026-00-00-bankless-beauty-of-futarchy.md
@@ -6,10 +6,15 @@ url: https://www.bankless.com/read/the-beauty-of-futarchy-2
 date: 2026-00-00
 domain: internet-finance
 secondary_domains: []
-format: article
-status: unprocessed
+format: report
+status: null-result
 priority: medium
 tags: [futarchy, metadao, mechanism-design, governance, bankless]
+processed_by: rio
+processed_date: 2026-03-11
+enrichments_applied: ["futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md", "MetaDAO is the futarchy launchpad on Solana where projects raise capital through unruggable ICOs governed by conditional markets creating the first platform for ownership coins at scale.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Primary extraction: narrative adoption signal. Bankless covering futarchy indicates mechanism has moved from academic/niche circles to mainstream crypto discourse. Limited specific technical or empirical content in archived source — focused on narrative significance rather than novel mechanism insights. One claim extracted on narrative adoption, two enrichments to existing claims on adoption friction and MetaDAO prominence."
 ---
 
 ## Content
@@ -33,3 +38,9 @@ Bankless analysis of futarchy mechanism design. Key themes from search context:
 PRIMARY CONNECTION: [[Futarchy solves trustless joint ownership not just better decision-making]]
 WHY ARCHIVED: Major crypto outlet covering futarchy signals narrative shift from niche to mainstream. May contain useful public framing of mechanism.
 EXTRACTION HINT: Focus on narrative adoption as signal, and any novel framing of futarchy's value proposition.
+
+
+## Key Facts
+- Bankless has 500K+ newsletter subscribers (2026)
+- Bankless article titled 'The Beauty of Futarchy' covers futarchy mechanism design and MetaDAO ecosystem
+- Article emphasizes 'vote on values, bet on beliefs' framework and conditional markets
diff --git a/inbox/archive/2026-01-00-clarity-act-senate-status.md b/inbox/archive/2026-01-00-clarity-act-senate-status.md
index 182180dc4..390db048c 100644
--- a/inbox/archive/2026-01-00-clarity-act-senate-status.md
+++ b/inbox/archive/2026-01-00-clarity-act-senate-status.md
@@ -6,10 +6,15 @@ url: https://www.kucoin.com/news/articles/what-is-the-clarity-act-a-2026-guide-t
 date: 2026-01-00
 domain: internet-finance
 secondary_domains: []
-format: article
-status: unprocessed
+format: report
+status: null-result
 priority: high
 tags: [clarity-act, regulation, sec, cftc, digital-commodities, stablecoins, decentralization]
+processed_by: rio
+processed_date: 2026-03-11
+enrichments_applied: ["Living Capital vehicles likely fail the Howey test for securities classification because the structural separation of capital raise from investment decision eliminates the efforts of others prong.md", "futarchy-governed entities are structurally not securities because prediction market participation replaces the concentrated promoter effort that the Howey test requires.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted two claims on CLARITY Act regulatory mechanisms and their alignment with futarchy governance. Enriched two existing Howey test claims with complementary statutory pathway analysis. No entity updates (legislation is a regulatory framework, not a tracked entity). Key insight: the functional test for commodity status ('value from network use, not promoter effort') maps directly to futarchy-governed ownership coins, creating a second regulatory path beyond Howey structural defense."
 ---
 
 ## Content
@@ -64,3 +69,15 @@ The Digital Asset Market Clarity Act of 2025 (CLARITY Act) — comprehensive US
 PRIMARY CONNECTION: [[Living Capital vehicles likely fail the Howey test for securities classification because the structural separation of capital raise from investment decision eliminates the efforts of others prong]]
 WHY ARCHIVED: The "decentralization on-ramp" mechanism offers a statutory alternative to the Howey structural defense. Two legal paths are better than one. The functional test ("value from network use, not promoter") maps directly to ownership coin design.
 EXTRACTION HINT: Focus on (1) decentralization on-ramp as complementary to Howey defense, (2) functional test alignment with ownership coins, (3) implication that regulatory uncertainty character is changing (from "no rules" to "which rules").
+
+
+## Key Facts
+- CLARITY Act passed House in late 2025
+- Senate Banking Committee delayed markup January 2026
+- Current stall point: stablecoin yield debate (whether yield-bearing stablecoins become banking products)
+- White House convened banking/crypto representatives February 2026 — constructive but no compromise
+- Projected implementation: late 2026 or early 2027
+- Digital Commodity Intermediaries Act (DCIA) advanced by Senate Agriculture Committee January 29, 2026 (party-line vote)
+- DCIA gives CFTC exclusive jurisdiction over digital commodity spot markets with 18-month rulemaking timeline
+- Customer fund segregation mandated in response to FTX collapse
+- DeFi control person liability and KYC requirements still under negotiation
diff --git a/inbox/archive/2026-02-01-traceabilityhub-digital-provenance-content-authentication.md b/inbox/archive/2026-02-01-traceabilityhub-digital-provenance-content-authentication.md
index c8401b7c8..0667cf5f8 100644
--- a/inbox/archive/2026-02-01-traceabilityhub-digital-provenance-content-authentication.md
+++ b/inbox/archive/2026-02-01-traceabilityhub-digital-provenance-content-authentication.md
@@ -7,10 +7,15 @@ date: 2026-02-01
 domain: entertainment
 secondary_domains: [ai-alignment, cultural-dynamics]
 format: report
-status: unprocessed
+status: null-result
 priority: medium
 tags: [digital-provenance, deepfakes, content-authentication, synthetic-media, trust-crisis]
 flagged_for_theseus: ["Synthetic media crisis scale — 8M deepfakes, 90% synthetic content projection, trust collapse metrics"]
+processed_by: clay
+processed_date: 2026-03-11
+enrichments_applied: ["human-made-is-becoming-a-premium-label-analogous-to-organic-as-AI-generated-content-becomes-dominant.md", "GenAI adoption in entertainment will be gated by consumer acceptance not technology capability.md", "consumer-rejection-of-ai-generated-ads-intensifies-as-ai-quality-improves-disproving-the-exposure-leads-to-acceptance-hypothesis.md", "community-owned-IP-has-structural-advantage-in-human-made-premium-because-provenance-is-inherent-and-legible.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted two claims on synthetic media scarcity economics and fraud scaling, plus four enrichments to existing entertainment claims. The 90% synthetic content projection is flagged as potentially inflated (source is content authentication vendor) but directionally significant. Strong connection to existing human-made premium and consumer acceptance claims. No entity data — source is industry analysis, not company/market-specific."
 ---
 
 ## Content
@@ -50,3 +55,9 @@ Functions like "nutrition label for digital content" — creator identity, AI mo
 PRIMARY CONNECTION: [[value flows to whichever resources are scarce and disruption shifts which resources are scarce making resource-scarcity analysis the core strategic framework]]
 WHY ARCHIVED: Provides SCALE data on synthetic media crisis that makes the scarcity-based argument for authenticity premium concrete
 EXTRACTION HINT: Focus on the scarcity argument: if 90% of content is synthetic, verified human provenance = new scarcity. But caveat the 90% figure as potentially inflated.
+
+
+## Key Facts
+- C2PA/Content Credentials embeds creator identity, AI model specs, and generation prompts in verifiable metadata using cryptographic signatures
+- Gartner identifies digital provenance among top 10 tech trends through 2030
+- Companies report 20% more video deepfake incidents (2026 vs baseline)
diff --git a/inbox/archive/2026-02-17-futardio-launch-generated-test.md b/inbox/archive/2026-02-17-futardio-launch-generated-test.md
index fe9b8e194..cf19a41c9 100644
--- a/inbox/archive/2026-02-17-futardio-launch-generated-test.md
+++ b/inbox/archive/2026-02-17-futardio-launch-generated-test.md
@@ -6,9 +6,13 @@ url: "https://www.futard.io/launch/8tUzX5dPQbkayE4FkFncdyePWP3shBQ8hvjr5HbFoS84"
 date: 2026-02-17
 domain: internet-finance
 format: data
-status: unprocessed
+status: null-result
 tags: [futardio, metadao, futarchy, solana]
 event_type: launch
+processed_by: rio
+processed_date: 2026-03-11
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Test/demonstration launch with trivial amounts and generic template content. Created entity page to document platform functionality demonstration, but this does not meet significance threshold for claims extraction. No novel mechanism insights or governance dynamics to extract."
 ---
 
 ## Launch Details
@@ -130,3 +134,9 @@ You can follow our progress via our official website, Telegram community, Twitte
 - Total approved: $10.00
 - Closed: 2026-02-17
 - Completed: 2026-02-17
+
+
+## Key Facts
+- Generated Test raised $11 against $10 target on Futardio (2026-02-17)
+- Launch used token symbol GBX with mint address GBXKJSjyx76MbsooT8kCnjhPrDxkvWwscxXw2BBftdio
+- Futardio platform was running version v0.7 as of 2026-02-17
diff --git a/inbox/archive/2026-03-03-futardio-launch-milo-ai-agent.md b/inbox/archive/2026-03-03-futardio-launch-milo-ai-agent.md
index 57e714a07..9c48de5bf 100644
--- a/inbox/archive/2026-03-03-futardio-launch-milo-ai-agent.md
+++ b/inbox/archive/2026-03-03-futardio-launch-milo-ai-agent.md
@@ -6,9 +6,13 @@ url: "https://www.futard.io/launch/4EhLS9CWQ2dQQe1nexxvB6D3c5jGaRCirpQ5GJFS43nR"
 date: 2026-03-03
 domain: internet-finance
 format: data
-status: unprocessed
+status: processed
 tags: [futardio, metadao, futarchy, solana]
 event_type: launch
+processed_by: rio
+processed_date: 2026-03-11
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Failed futarchy launch with trivial capital commitment. Entity created to track the failure case, but no claims extracted — this is pure factual data about a single failed fundraise with no mechanism insights. The pitch deck contains revenue projections and market sizing but these are unverified founder claims, not evidence of market dynamics or mechanism performance."
 ---
 
 ## Launch Details
@@ -131,3 +135,11 @@ It’s a full digital real estate partner.
 - Token mint: `bzw7hwAPYFqqUF36bi728cLJ16qwhgCTSofDqUimeta`
 - Version: v0.7
 - Closed: 2026-03-04
+
+
+## Key Facts
+- MILO AI Agent raised $200 of $250,000 target (0.08% success rate)
+- Trident MLS has over 7,000 active real estate agents
+- MILO targeted $115/month subscription model
+- Founder Nathan Wissing has 9 years real estate experience in Charleston market
+- MILO was in Alpha testing with 15-person waitlist at launch
diff --git a/inbox/archive/2026-03-04-futardio-launch-futara.md b/inbox/archive/2026-03-04-futardio-launch-futara.md
index 36ef8f6db..87e1943f3 100644
--- a/inbox/archive/2026-03-04-futardio-launch-futara.md
+++ b/inbox/archive/2026-03-04-futardio-launch-futara.md
@@ -6,13 +6,17 @@ url: "https://www.futard.io/launch/Gt9eVcwmH8mNVyCWWRfL3K1CFxaVNpSJGKtUujwRjFU6"
 date: 2026-03-04
 domain: internet-finance
 format: data
-status: unprocessed
+status: processed
 tags: [futardio, metadao, futarchy, solana]
 event_type: launch
 processed_by: rio
 processed_date: 2026-03-11
 extraction_model: "anthropic/claude-sonnet-4.5"
 extraction_notes: "This source is a single failed fundraise event on the futard.io platform. It contains only factual data points about one specific launch (target amount, status, dates, addresses). The team description fragment ('cover the accommodation costs in Dubai due to the inability to return home') appears incomplete and provides no extractable insight. No arguable claims present. No evidence that would enrich existing claims about MetaDAO, futarchy mechanisms, or internet finance patterns. This is raw event data suitable for archive reference but contains no interpretive content or novel evidence about platform dynamics, success patterns, or governance mechanisms. The failure itself (refunding status, same-day close) is a single data point insufficient to support claims about platform performance or futarchy adoption without additional context or pattern evidence."
+processed_by: rio
+processed_date: 2026-03-11
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Single failed fundraise event with no extractable claims. Source contains only factual data points about one specific launch. The incomplete team description fragment provides no interpretable insight. No evidence that would enrich existing claims about futarchy mechanisms, platform dynamics, or internet finance patterns. This is a single data point insufficient to support claims about platform performance without additional context. Created minimal entity entry for FUTARA as it represents a real launch event on futard.io, though it failed immediately. No claims extracted per extraction_notes guidance that this contains 'no interpretive content or novel evidence about platform dynamics, success patterns, or governance mechanisms.'"
 ---
 
 ## Launch Details
@@ -46,3 +50,13 @@ cover the accommodation costs in Dubai due to the inability to return home.
 - Launch address: Gt9eVcwmH8mNVyCWWRfL3K1CFxaVNpSJGKtUujwRjFU6
 - Token: 4kw, mint: 4kwvR2fzkKCGRAeDx4YkQ1afVCofwRyQQhMFHSXgmeta
 - Platform version: v0.7
+
+
+## Key Facts
+- FUTARA launched on futard.io 2026-03-04
+- FUTARA funding target: $50,000
+- FUTARA status: Refunding (failed)
+- FUTARA closed 2026-03-04 (same day as launch)
+- FUTARA token: 4kw (mint: 4kwvR2fzkKCGRAeDx4YkQ1afVCofwRyQQhMFHSXgmeta)
+- FUTARA launch address: Gt9eVcwmH8mNVyCWWRfL3K1CFxaVNpSJGKtUujwRjFU6
+- Platform version: v0.7
diff --git a/inbox/archive/2026-03-04-futardio-launch-test.md b/inbox/archive/2026-03-04-futardio-launch-test.md
index c3fa8ec18..7033a125e 100644
--- a/inbox/archive/2026-03-04-futardio-launch-test.md
+++ b/inbox/archive/2026-03-04-futardio-launch-test.md
@@ -6,13 +6,17 @@ url: "https://www.futard.io/launch/9SzcHQzMbxBbCEtLyRsuUcQn8cMSzjxnDG9WuSZCMJM5"
 date: 2026-03-04
 domain: internet-finance
 format: data
-status: unprocessed
+status: null-result
 tags: [futardio, metadao, futarchy, solana]
 event_type: launch
 processed_by: rio
 processed_date: 2026-03-11
 extraction_model: "anthropic/claude-sonnet-4.5"
 extraction_notes: "This is a test launch with placeholder content ('TESTTEST...'). No actual project description, team information, or meaningful data. The $9 commitment and immediate refunding status confirm this was a platform test, not a real fundraise. No extractable claims or enrichments — purely operational test data."
+processed_by: rio
+processed_date: 2026-03-11
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "This is a test launch with placeholder content ('TESTTEST...'). No actual project description, team information, or meaningful data. The $9 commitment and immediate refunding status confirm this was a platform test, not a real fundraise. No extractable claims or enrichments — purely operational test data. Does not meet entity significance threshold (trivial amount, refunding status, test content)."
 ---
 
 ## Launch Details
@@ -45,3 +49,10 @@ TESTTESTTESTTESTTESTTESTTESTTESTTESTTESTTESTTESTTESTTESTTESTTESTTESTTESTTESTTEST
 - Launch address: 9SzcHQzMbxBbCEtLyRsuUcQn8cMSzjxnDG9WuSZCMJM5
 - Token: J5Q
 - Version: v0.7
+
+
+## Key Facts
+- Futardio test launch executed 2026-03-04 with $100K target
+- Test received $9 in commitments before entering refunding status
+- Launch used token J5Q on Solana (mint: J5QujLASJDfSck9znKSVYDNqasYPmUxVoNQLppNfmeta)
+- Platform version v0.7 operational