v0.3.0: Gap-to-Draft pipeline, Living Standards Observatory, blog series

Gap-to-Draft Pipeline (ietf pipeline):
- Context builder assembles ideas, RFC foundations, similar drafts, ecosystem vision
- Generator produces outlines + sections using rich context with Claude
- Quality gates: novelty (embedding similarity), references, format, self-rating
- Family coordinator generates 5-draft ecosystem (AEM/ATD/HITL/AEPB/APAE)
- I-D formatter with proper headers, references, 72-char wrapping

Living Standards Observatory (ietf observatory):
- Source abstraction with IETF + W3C fetchers
- 7-step update pipeline: snapshot, fetch, analyze, embed, ideas, gaps, record
- Static GitHub Pages dashboard (explorer, gap tracker, timeline)
- Weekly CI/CD automation via GitHub Actions

Also includes:
- 361 drafts (expanded from 260 with 6 new keywords), 403 authors, 1,262 ideas, 12 gaps
- Blog series (8 posts planned), reports, arXiv paper figures
- Agent team infrastructure (CLAUDE.md, scripts, dev journal)
- 5 new DB tables, schema migration, ~15 new query methods

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

src/ietf_analyzer/config.py

@@ -16,6 +16,12 @@ DEFAULT_KEYWORDS = [
     "autonomous",
     "machine-learning",
     "artificial-intelligence",
+    "mcp",
+    "agentic",
+    "inference",
+    "generative",
+    "intelligent",
+    "aipref",
 ]
 
 
@@ -32,6 +38,15 @@ class Config:
     fetch_since: str = "2024-01-01"
     # Polite delay between API requests (seconds)
     fetch_delay: float = 0.5
+    # Pipeline
+    generation_max_tokens: int = 4096
+    generation_model: str = ""  # defaults to claude_model
+    # Observatory
+    observatory_sources: list[str] = field(default_factory=lambda: ["ietf"])
+    dashboard_dir: str = str(DEFAULT_DATA_DIR.parent / "docs")
+    w3c_groups: list[str] = field(default_factory=lambda: [
+        "webmachinelearning", "wot", "credentials", "did", "vc"
+    ])
 
     def save(self) -> None:
         Path(self.data_dir).mkdir(parents=True, exist_ok=True)