Idea quality pipeline, web UI features, academic paper

- Tighten idea extraction prompts (1-4 ideas, no sub-features) reducing
  1,907 ideas to 468 across 434 drafts (78% reduction)
- Add embedding-based dedup (ietf dedup-ideas) for same-draft similarity
- Add novelty scoring (ietf ideas score) and filtering (ietf ideas filter)
  using Claude to rate ideas 1-5, removing 49 generic building blocks
- Final count: 419 high-quality ideas (avg 1.1/draft)
- Web UI: gap explorer with live draft generation and pre-generated demos
- Web UI: D3.js author collaboration network (498 nodes, 1142 edges,
  68 clusters, org filtering, interactive zoom/pan)
- Academic paper: 15-page LaTeX workshop paper analyzing the 434-draft
  AI agent standards landscape
- Save improvement ideas backlog to data/reports/improvement-ideas.md

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

data/reports/dev-journal.md

@@ -4,6 +4,14 @@
 
 ---
 
+### 2026-03-06 CODER — Interactive D3.js Author Network Visualization
+
+**What**: Replaced the Plotly spring-layout co-authorship graph on `/authors` with a full D3.js v7 force-directed network. Added enriched data layer (`get_author_network_full`) with avg draft scores per author, connected-component cluster detection (68 clusters found), and a new `/api/authors/network` JSON endpoint. Template now includes: interactive D3 force graph with zoom/pan/drag, org filter dropdown, cluster highlighting with zoom-to-fit, hover tooltips showing author details + draft list, click-to-navigate, plus the existing Plotly org bar chart, cross-org collaboration chart, sortable authors table (now top 50), and org stats sidebar.
+**Why**: The Plotly spring layout was static and limited. D3 force simulation gives true interactivity -- draggable nodes, smooth zoom, hover/click interactions -- which makes the collaboration patterns much more explorable. Cluster detection reveals the structure (one giant 165-member cluster dominated by Huawei/China Telecom, plus 67 smaller groups).
+**Result**: 498 nodes, 1142 edges, 68 clusters rendered interactively. Org color coding, size-by-draft-count, label-on-hover all working. Three files changed: `src/webui/data.py` (new `get_author_network_full`), `src/webui/app.py` (updated route + new API endpoint), `src/webui/templates/authors.html` (full rewrite with D3).
+
+---
+
 ### 2026-02-28 — v0.2.0 Release
 
 **What**: Built full analysis pipeline — fetch, analyze, rate, embed, ideas, gaps, visualize, report. 13 CLI commands, 13+ visualizations, 11 report types.

data/reports/improvement-ideas.md

@@ -0,0 +1,31 @@
+# IETF Draft Analyzer — Improvement Ideas
+
+*Saved 2026-03-06 for future implementation*
+
+## Quick Wins
+
+### 1. Finish the Web Dashboard
+`src/webui/` has a solid plan (PLAN.md) but is partially built. A live, interactive explorer makes the data far more accessible than markdown reports. Priority: ship it.
+
+### 2. Publish the Blog Series
+8 posts drafted in `data/reports/blog-series/`. Publish on GitHub Pages, dev.to, or a static site. The "4:1 capability-to-safety ratio" finding is shareable and provocative.
+
+### 3. Trend Alerts (`ietf watch`)
+Add a CLI command that re-fetches weekly and flags new drafts, revised drafts, and drafts moving toward WG adoption. Makes this a living tool, not a one-shot analysis.
+
+## Medium Effort
+
+### 4. Interactive Embedding Map
+Export Ollama embeddings as a 2D UMAP/t-SNE scatter plot (Plotly or Observable). Color by category, size by score. Most visually compelling artifact possible.
+
+### 5. Draft Recommendation Engine
+With 1,907 ideas and embeddings, build "if you're interested in X, these drafts are most relevant." Useful for IETF participants finding related work before submitting.
+
+### 8. IETF Meeting Companion
+Time around IETF 123 (July 2026). "Here are the AI/agent drafts being discussed, clustered by theme, with quality ratings." Extremely useful for attendees.
+
+### 9. Expand Beyond AI/Agent
+The pipeline (fetch > analyze > rate > embed > gap-find) is generic. Apply to other IETF topics: post-quantum crypto, MASQUE/proxying, IoT security. Each becomes a new landscape report.
+
+### 11. Living Dashboard with RSS/Email Digest
+Combine web UI with trend alerts. Weekly email: "3 new AI agent drafts this week, 1 gap partially filled, here's what changed." Newsletter-ify the analysis.