diff --git a/domains/entertainment/ai-narrative-filmmaking-breakthrough-will-be-filmmaker-using-ai-not-pure-ai-automation.md b/domains/entertainment/ai-narrative-filmmaking-breakthrough-will-be-filmmaker-using-ai-not-pure-ai-automation.md
index 56613731e..9a607607c 100644
--- a/domains/entertainment/ai-narrative-filmmaking-breakthrough-will-be-filmmaker-using-ai-not-pure-ai-automation.md
+++ b/domains/entertainment/ai-narrative-filmmaking-breakthrough-will-be-filmmaker-using-ai-not-pure-ai-automation.md
@@ -10,14 +10,16 @@ agent: clay
 scope: causal
 sourcer: RAOGY Guide / No Film School
 related_claims: ["[[non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain]]", "[[GenAI adoption in entertainment will be gated by consumer acceptance not technology capability]]", "[[media disruption follows two sequential phases as distribution moats fall first and creation moats fall second]]"]
-related:
-- AI filmmaking is developing institutional community validation structures rather than replacing community with algorithmic reach
-- AI filmmaking enables solo production but practitioners retain collaboration voluntarily, revealing community value exceeds efficiency gains
-reweave_edges:
-- AI filmmaking is developing institutional community validation structures rather than replacing community with algorithmic reach|related|2026-04-17
-- AI filmmaking enables solo production but practitioners retain collaboration voluntarily, revealing community value exceeds efficiency gains|related|2026-04-17
+related: ["AI filmmaking is developing institutional community validation structures rather than replacing community with algorithmic reach", "AI filmmaking enables solo production but practitioners retain collaboration voluntarily, revealing community value exceeds efficiency gains", "ai-narrative-filmmaking-breakthrough-will-be-filmmaker-using-ai-not-pure-ai-automation"]
+reweave_edges: ["AI filmmaking is developing institutional community validation structures rather than replacing community with algorithmic reach|related|2026-04-17", "AI filmmaking enables solo production but practitioners retain collaboration voluntarily, revealing community value exceeds efficiency gains|related|2026-04-17"]
 ---
 
 # AI narrative filmmaking breakthrough will be a filmmaker using AI tools not pure AI automation
 
-The 'Blair Witch moment' thesis represents industry consensus that the first mainstream AI narrative film success will come from a filmmaker using AI as production tools, not from pure AI generation. This prediction is grounded in observed technical barriers: AI currently struggles with temporal consistency (keeping characters and objects consistent across shots), which requires 'a thousand decisions a day' that only accumulated craft knowledge can navigate. The distinction between 'AI native' (pure generators) and 'Filmmakers using AI' (craft + AI) produces fundamentally different output types. Sources consistently note that creators without film training 'may generate pretty images but cannot maintain narrative consistency over 90 minutes.' The anticipated breakthrough assumes the winner will be someone who combines AI's production cost collapse with traditional narrative craft, not someone who relies on AI alone. This is a falsifiable prediction: if a pure AI system (no human filmmaker with craft training) achieves mainstream narrative success before a filmmaker-using-AI does, this thesis is disproven.
\ No newline at end of file
+The 'Blair Witch moment' thesis represents industry consensus that the first mainstream AI narrative film success will come from a filmmaker using AI as production tools, not from pure AI generation. This prediction is grounded in observed technical barriers: AI currently struggles with temporal consistency (keeping characters and objects consistent across shots), which requires 'a thousand decisions a day' that only accumulated craft knowledge can navigate. The distinction between 'AI native' (pure generators) and 'Filmmakers using AI' (craft + AI) produces fundamentally different output types. Sources consistently note that creators without film training 'may generate pretty images but cannot maintain narrative consistency over 90 minutes.' The anticipated breakthrough assumes the winner will be someone who combines AI's production cost collapse with traditional narrative craft, not someone who relies on AI alone. This is a falsifiable prediction: if a pure AI system (no human filmmaker with craft training) achieves mainstream narrative success before a filmmaker-using-AI does, this thesis is disproven.
+
+## Supporting Evidence
+
+**Source:** VentureBeat, Runway Hundred Film Fund, January 2026
+
+Runway's Hundred Film Fund (up to $1M for AI-made films) is subsidizing filmmaker-led productions rather than pure AI automation, and Gen-4.5 includes Director Mode for precise lighting/composition/camera control, indicating the breakthrough model is filmmaker-directed AI tools
diff --git a/domains/entertainment/ai-production-cost-decline-60-percent-annually-makes-feature-film-quality-accessible-at-consumer-price-points-by-2029.md b/domains/entertainment/ai-production-cost-decline-60-percent-annually-makes-feature-film-quality-accessible-at-consumer-price-points-by-2029.md
index 8d7b39b0a..42c91017f 100644
--- a/domains/entertainment/ai-production-cost-decline-60-percent-annually-makes-feature-film-quality-accessible-at-consumer-price-points-by-2029.md
+++ b/domains/entertainment/ai-production-cost-decline-60-percent-annually-makes-feature-film-quality-accessible-at-consumer-price-points-by-2029.md
@@ -10,9 +10,16 @@ agent: clay
 scope: causal
 sourcer: MindStudio
 supports: ["non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain", "media disruption follows two sequential phases as distribution moats fall first and creation moats fall second"]
-related: ["non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain", "media disruption follows two sequential phases as distribution moats fall first and creation moats fall second"]
+related: ["non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain", "media disruption follows two sequential phases as distribution moats fall first and creation moats fall second", "ai-production-cost-decline-60-percent-annually-makes-feature-film-quality-accessible-at-consumer-price-points-by-2029", "ip-rights-management-becomes-dominant-cost-in-content-production-as-technical-costs-approach-zero"]
 ---
 
 # AI production cost decline of 60% annually makes feature-film quality accessible at consumer price points by 2029
 
 MindStudio reports GenAI rendering costs declining approximately 60% annually, with scene generation costs already 90% lower than prior baseline by 2025. At 60% annual decline, costs halve every ~18 months. Current data shows 3-minute AI short films at $75-175 (versus $5K-30K professional traditional) and feature-length animated films at ~$700K (versus $70M-200M studio). Extrapolating the 60% trajectory: if a feature-quality production costs $700K in 2026, it reaches ~$280K in 2027, ~$112K in 2028, and ~$45K in 2029. This puts feature-film-quality production within consumer price points (sub-$10K) by 2029-2030. The exponential nature of the decline is critical: this is not incremental improvement but structural cost collapse that makes professional-quality production accessible to individuals within a 3-4 year window. The rate of decline (60%/year) is the key predictive parameter.
+
+
+## Supporting Evidence
+
+**Source:** VentureBeat, Runway Gen-4 adoption metrics, January 2026
+
+Sony Pictures achieved 25% post-production time reduction using Runway Gen-4, and 300+ studios adopted enterprise plans at $15,000/year, demonstrating production cost collapse is accelerating through specific capability unlocks like character consistency
diff --git a/domains/entertainment/character-consistency-unlocks-ai-narrative-filmmaking-by-removing-technical-barrier-to-multi-shot-storytelling.md b/domains/entertainment/character-consistency-unlocks-ai-narrative-filmmaking-by-removing-technical-barrier-to-multi-shot-storytelling.md
new file mode 100644
index 000000000..fe842513a
--- /dev/null
+++ b/domains/entertainment/character-consistency-unlocks-ai-narrative-filmmaking-by-removing-technical-barrier-to-multi-shot-storytelling.md
@@ -0,0 +1,19 @@
+---
+type: claim
+domain: entertainment
+description: Runway Gen-4's character consistency capability represents a qualitative threshold change that makes AI video practical for narrative content production
+confidence: likely
+source: VentureBeat, Runway Gen-4 adoption metrics (300+ studios, 20,000+ creators on enterprise)
+created: 2026-04-21
+title: Character consistency across shots unlocks AI video for narrative filmmaking by removing the technical barrier to multi-shot storytelling
+agent: clay
+scope: causal
+sourcer: VentureBeat
+supports: ["ai-production-cost-decline-60-percent-annually-makes-feature-film-quality-accessible-at-consumer-price-points-by-2029"]
+challenges: ["GenAI adoption in entertainment will be gated by consumer acceptance not technology capability"]
+related: ["ai-production-cost-decline-60-percent-annually-makes-feature-film-quality-accessible-at-consumer-price-points-by-2029", "non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain"]
+---
+
+# Character consistency across shots unlocks AI video for narrative filmmaking by removing the technical barrier to multi-shot storytelling
+
+Runway Gen-4 introduced character and scene consistency across multiple shots in 2025, solving the specific technical problem that had made AI video generation impractical for narrative filmmaking. Without consistent character appearance across scenes, AI video could only produce isolated shots or visual effects, not coherent stories. The rapid enterprise adoption demonstrates this was a binding constraint: 300+ studios adopted enterprise plans at $15,000/year, and major studios like Sony Pictures achieved 25% post-production time reductions. Lionsgate built a custom model on their 20,000+ title catalog, indicating confidence in production-grade capability. The Hundred Film Fund's commitment of up to $1M for AI-made films suggests Runway is actively subsidizing proof-of-concept productions, indicating the technology has crossed a threshold but market validation of narrative quality remains incomplete. This is distinct from general AI video quality improvements—it's a specific capability (character consistency) that removes a categorical barrier (inability to tell stories across cuts).
diff --git a/domains/entertainment/non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain.md b/domains/entertainment/non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain.md
index 9d84e96c4..977f72ad6 100644
--- a/domains/entertainment/non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain.md	
+++ b/domains/entertainment/non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain.md	
@@ -3,17 +3,11 @@ type: claim
 domain: entertainment
 description: "The 80% of blockbuster film budgets spent on below-the-line crew, post-production, and overhead — roughly $160-170M on a $200M median blockbuster — will follow technology cost curves downward as AI replaces labor across every production stage, potentially falling by orders of magnitude"
 confidence: experimental
-source: "Clay, from Doug Shapiro's 'AI Use Cases in Hollywood' (The Mediator, September 2023)"
+source: Clay, from Doug Shapiro's 'AI Use Cases in Hollywood' (The Mediator, September 2023)
 created: 2026-03-06
-supports:
-- AI production cost decline of 60% annually makes feature-film quality accessible at consumer price points by 2029
-- IP rights management becomes dominant cost in content production as technical costs approach zero
-related:
-- AI narrative filmmaking breakthrough will be a filmmaker using AI tools not pure AI automation
-reweave_edges:
-- AI narrative filmmaking breakthrough will be a filmmaker using AI tools not pure AI automation|related|2026-04-17
-- AI production cost decline of 60% annually makes feature-film quality accessible at consumer price points by 2029|supports|2026-04-17
-- IP rights management becomes dominant cost in content production as technical costs approach zero|supports|2026-04-17
+supports: ["AI production cost decline of 60% annually makes feature-film quality accessible at consumer price points by 2029", "IP rights management becomes dominant cost in content production as technical costs approach zero"]
+related: ["AI narrative filmmaking breakthrough will be a filmmaker using AI tools not pure AI automation", "non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain", "ip-rights-management-becomes-dominant-cost-in-content-production-as-technical-costs-approach-zero"]
+reweave_edges: ["AI narrative filmmaking breakthrough will be a filmmaker using AI tools not pure AI automation|related|2026-04-17", "AI production cost decline of 60% annually makes feature-film quality accessible at consumer price points by 2029|supports|2026-04-17", "IP rights management becomes dominant cost in content production as technical costs approach zero|supports|2026-04-17"]
 ---
 
 # Non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain
@@ -53,4 +47,10 @@ Relevant Notes:
 
 Topics:
 - [[entertainment]]
-- [[teleological-economics]]
\ No newline at end of file
+- [[teleological-economics]]
+
+## Extending Evidence
+
+**Source:** VentureBeat, Runway Gen-4 capabilities, January 2026
+
+Character consistency capability extends AI replacement from isolated visual effects to full narrative production workflows, expanding the scope of production costs that converge with compute costs to include multi-shot storytelling
diff --git a/entities/entertainment/hundred-film-fund.md b/entities/entertainment/hundred-film-fund.md
new file mode 100644
index 000000000..db654ca20
--- /dev/null
+++ b/entities/entertainment/hundred-film-fund.md
@@ -0,0 +1,15 @@
+# Hundred Film Fund
+
+**Type:** Film production fund  
+**Parent:** Runway ML  
+**Focus:** AI-generated filmmaking  
+**Funding:** Up to $1M per film  
+**Status:** Active (2026)
+
+## Overview
+
+The Hundred Film Fund is Runway ML's initiative to subsidize feature films made with AI tools. The fund provides up to $1 million per film, representing a market development play to prove AI-generated narrative content can achieve commercial and artistic success.
+
+## Timeline
+
+- **2026-01** — Fund announced alongside Runway Gen-4 enterprise adoption metrics; designed to validate AI filmmaking use case beyond technology capability demonstration
\ No newline at end of file