diff --git a/inbox/archive/2026-02-01-seedance-2-ai-video-benchmark.md b/inbox/archive/2026-02-01-seedance-2-ai-video-benchmark.md
index b0c317b22..6a75a5f0f 100644
--- a/inbox/archive/2026-02-01-seedance-2-ai-video-benchmark.md
+++ b/inbox/archive/2026-02-01-seedance-2-ai-video-benchmark.md
@@ -7,9 +7,14 @@ date: 2026-02-01
 domain: entertainment
 secondary_domains: []
 format: report
-status: unprocessed
+status: null-result
 priority: medium
 tags: [ai-video-generation, seedance, production-costs, quality-threshold, capability]
+processed_by: clay
+processed_date: 2026-03-11
+enrichments_applied: ["non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain.md", "consumer definition of quality is fluid and revealed through preference not fixed by production value.md", "GenAI adoption in entertainment will be gated by consumer acceptance not technology capability.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Extracted two claims: (1) hand anatomy threshold crossing as capability milestone, (2) Sora retention data as demand-side constraint signal. Applied three enrichments to existing claims about production cost convergence, quality definition fluidity, and consumer acceptance gating. The curator's hint about Sora retention being the 'most extractable insight' was correct—it's the clearest evidence of demand-side constraint despite supply-side capability. Did NOT extract entity data for Seedance/ByteDance, Kling, Veo, or Sora as these are established players without new organizational developments in this source (only product benchmarks)."
 ---
 
 ## Content
@@ -59,3 +64,11 @@ Aggregated benchmark data on the leading AI video generation models in 2026 (See
 PRIMARY CONNECTION: `non-ATL production costs will converge with the cost of compute as AI replaces labor across the production chain`
 WHY ARCHIVED: The hand anatomy benchmark crossing signals that the quality threshold for realistic video has been substantially cleared — which shifts the remaining barrier to consumer acceptance (demand-side) and creative direction (human judgment), not raw capability.
 EXTRACTION HINT: The Sora retention data (supply without demand) is the most extractable insight. A claim about AI video tool adoption being demand-constrained despite supply capability would be new to the KB.
+
+
+## Key Facts
+- Seedance 2.0 ranked #1 globally on Artificial Analysis benchmark (February 2026)
+- Seedance 2.0: native 2K resolution, 4-15s duration, 30% faster than 1.5 Pro
+- Benchmark methodology: 50+ generations per model, identical 15-category prompt set, 4s at 720p/24fps, rated 0-100 on 6 dimensions by 2 independent reviewers
+- Kling 3.0 leads for ease of use, Seedance 2.0 leads for precise creative control
+- Sora standalone app: 12 million downloads, <8% day-30 retention