auto-fix: strip 2 broken wiki links

Pipeline auto-fixer: removed [[ ]] brackets from links
that don't resolve to existing claims in the knowledge base.

inbox/queue/2026-03-10-coindesk-pudgy-world-launch-club-penguin-moment.md

@@ -30,7 +30,7 @@ The "Club Penguin" framing is significant: Club Penguin succeeded by building co
 
 **What I expected but didn't find:** No evidence of community governance participation in Pudgy World design decisions. The "Huddle" community was not consulted on the Club Penguin positioning.
 
-**KB connections:** [[community ownership accelerates growth through aligned evangelism not passive holding]] — Pudgy World tests whether game engagement produces the same ambassador dynamic as NFT holding; [[fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership]] — games are the "content extensions" rung on the ladder; [[progressive validation through community building reduces development risk]] — Pudgy World reverses this by launching game after brand is established.
+**KB connections:** [[community ownership accelerates growth through aligned evangelism not passive holding]] — Pudgy World tests whether game engagement produces the same ambassador dynamic as NFT holding; [[fanchise management is a stack of increasing fan engagement from content extensions through co-creation and co-ownership]] — games are the "content extensions" rung on the ladder; progressive validation through community building reduces development risk — Pudgy World reverses this by launching game after brand is established.
 
 **Extraction hints:** The DAU plateau data is the most extractable claim — it suggests a specific failure mode (acquisition without retention) that has predictive power for other Web3-to-mainstream projects. Also extractable: "Club Penguin moment" as strategic framing — what does it mean to aspire to Club Penguin scale (not NFT scale)?
 

inbox/queue/2026-04-xx-mindstudio-ai-filmmaking-cost-breakdown.md

@@ -49,7 +49,7 @@ Specific cost data for AI film production in 2026:
 
 **What I expected but didn't find:** Comparison data on AI production quality at these price points — the claim that $75-175 AI film "rivals" a $5K-30K professional production deserves scrutiny. The quality comparison is missing.
 
-**KB connections:** [[non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain]] — this source provides specific numbers that confirm the convergence direction; [[GenAI is simultaneously sustaining and disruptive depending on whether users pursue progressive syntheticization or progressive control]] — the $700K 9-person feature film is progressive control; the studios using AI for post-production cost reduction is progressive syntheticization; [[value flows to whichever resources are scarce and disruption shifts which resources are scarce making resource-scarcity analysis the core strategic framework]] — if production costs approach zero, rights/IP becomes the scarce resource, which shifts where value concentrates.
+**KB connections:** [[non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain]] — this source provides specific numbers that confirm the convergence direction; [[GenAI is simultaneously sustaining and disruptive depending on whether users pursue progressive syntheticization or progressive control]] — the $700K 9-person feature film is progressive control; the studios using AI for post-production cost reduction is progressive syntheticization; value flows to whichever resources are scarce and disruption shifts which resources are scarce making resource-scarcity analysis the core strategic framework — if production costs approach zero, rights/IP becomes the scarce resource, which shifts where value concentrates.
 
 **Extraction hints:** The rights management insight is underexplored in the KB — extract as a forward-looking claim about where cost concentration will move in the AI era. Also extract the 60%/year cost decline as a rate with strong predictive power (at 60%/year, costs halve every ~18 months, meaning feature-film-quality AI production will be sub-$10K within 3-4 years).