Fix blog accuracy and add methodology documentation

Blog posts (all 10 files updated):
- Update all counts to match DB: 434 drafts, 557 authors, 419 ideas, 11 gaps
- Fix EU AI Act timeline to August 2026 (5 months, not 18)
- Reframe growth claim from "36x" to actual monthly figures (5→61→85)
- Add safety ratio nuance (1.5:1 to 21:1 monthly variation)
- Fix composite scores (4.8→4.75, 4.6→4.5)
- Add OAuth/GDPR consent distinction (Art. 6(1)(a), Art. 28)
- Add EU AI Act Annex III + MDR context to hospital scenario
- Add FIPA, IEEE P3394, eIDAS 2.0 references
- Add GDPR gap paragraph (DPIA, erasure, portability, purpose limitation)
- Rewrite Post 04 gap table to match actual DB gap names

Methodology:
- Expand methodology.md: pipeline docs, limitations, related work
- Add LLM-as-judge caveats and explicit rating rubric to analyzer.py
- Add clustering threshold rationale to embeddings.py
- Add gap analysis grounding notes to analyzer.py
- Add Limitations section to Post 07

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

data/reports/blog-series/01-gold-rush.md

@@ -23,7 +23,7 @@ In 2024, just **9 AI/agent-related drafts** were submitted to the IETF -- **0.5%
 | 2025 | 2,696 | 190 | 7.0% |
 | 2026 (Q1) | 1,748 | 162 | 9.3% |
 
-The IETF itself accelerated 2.4x from 2021 to 2025. But AI/agent work went from essentially zero to dominant topic in under two years. The acceleration is not gradual. It is a step function that began in mid-2025 and has not slowed.
+The IETF itself accelerated 2.4x from 2021 to 2025. But AI/agent work went from essentially zero to dominant topic in under two years. The acceleration is not gradual. Submissions surged rapidly beginning in mid-2025 -- from 5 drafts in June 2025 to 61 in October 2025 to 85 in February 2026 -- and have not slowed.
 
 This growth is driven by a convergence of forces: the explosion of commercial AI agent deployments (ChatGPT plugins, Anthropic's Claude tools, Google's Gemini agents), the emergence of protocols like MCP and A2A that need standardization, and the recognition across the industry that AI agents communicating over the internet without agreed-upon identity, security, and interoperability standards is a problem that gets worse every month it goes unaddressed.