Vision Lock v1: AI News Aggregator -> AI Enthusiast Daily (ADR-0007)

- docs/vision/VISION_LOCK_V1.md: permanent editorial mission, audience (builders/tinkerers/
  local-AI users/home-lab/agent devs), Editorial Test ('what would an enthusiast DO?'),
  architectual constraint (editorial vision is primary system), priority order.
- docs/vision/ADR-0007_EDITORIAL_PIVOT.md: accepted pivot record, before/after table,
  Sprint 1 evidence (high-signal = actionable, low-signal = spectator content).
- docs/vision/EDITORIAL_GUIDELINES.md: operating rules; score is draft, taste overrides;
  hand-before-machine; memory must store 'what can be done' not 'what happened'.
- docs/vision/SECTION_DEFINITIONS.md: 5 sections (What Shipped / Run It Locally /
  Benchmarks & Builds / Problem Solved / Worth Trying Tonight).
- docs/vision/SPRINT_1_FINDINGS.md: reference evidence, 45/200 UNCATEGORIZED taxonomy gap.
- Issue_001.md: handcrafted prototype edition from Sprint 1 stories; benchmark for all future automation.

This is the architectural directive. No scoring/narrative/memory work proceeds except in
service of the Vision Lock. Sprint 2 (Lens) stays blocked pending manual review tallies.

docs/vision/ADR_0007_EDITORIAL_PIVOT.md

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+# ADR-0007: Editorial Pivot — AI News Aggregator → AI Enthusiast Daily
+
+**Status:** ACCEPTED · 2026-07-15
+**Supersedes:** implicit "AI news aggregation" assumption (never written down — that was the bug)
+**Superseded by:** nothing yet
+
+---
+
+## Title
+
+Editorial Pivot: AI News Aggregator → AI Enthusiast Daily
+
+## Context
+
+Athena Oracle was built as a multi-source AI research pipeline: ingest → score → pattern/falsification. Sprint 1 (pure rule-based bucket classifier + scorer) was the first time we put 200 real stories in front of a human with the question "would we proudly publish these?"
+
+The classifier accuracy was never the discovery. The discovery was **what the stories were actually for**. Scanning the 200, the ones we'd proudly ship were uniformly *actionable by a builder*: local-model how-tos, benchmarks with real numbers, reproducible tooling, agent infra with code. The ones we'd reject were uniformly *spectator content*: lawsuits, funding rounds, CEO opinions, valuations, corporate announcements.
+
+We had been optimizing the system for the wrong question.
+
+## Decision
+
+Athena Oracle is **no longer optimizing for:**
+
+> "What happened in AI today?"
+
+Athena Oracle is **optimizing for:**
+
+> "What can an AI enthusiast DO after reading this?"
+
+This changes every layer: scoring, classification, editorial review, rendering, narratives, memory. Everything.
+
+## Before / After
+
+| Dimension | Before (implicit) | After (locked) |
+|-----------|------------------|-----------------|
+| Optimized for | Recency | Actionability |
+| | Volume | Reproducibility |
+| | Virality | Enthusiast value |
+| | | Builder usefulness |
+| Unit of value | "was published" | "can be done" |
+| Audience | anyone interested in AI | builders / tinkerers / local-AI users |
+| Reject signal | none | "reader would do NOTHING" |
+
+## Sprint 1 Evidence
+
+From the 200-story manual review (athena_review_report.txt):
+
+**High signal (would ship):**
+- LOCAL AI bucket — gguf / rtx / quantization / llama.cpp stories scored highest on enthusiast + replication
+- Open-source tools (Juggler GUI coding agent, open-source arXiv tool, Zer0Fit MCP server)
+- Benchmarks with real numbers (GPUHedge: 117s→30s p95; Migrating to GPT-5.6: 2.2x faster, 27% cheaper)
+- Infrastructure with code (Your $80 Tesla P100 llama.cpp fix)
+- Production learnings (agent identity, permissioned crawlers)
+
+**Low signal (would reject):**
+- Funding rounds (PixVerse $439M, DeepSeek $7B)
+- Lawsuits (Apple/OpenAI trade secret, Google training suit)
+- CEO opinions (Altman, Hassabis, Mosseri takes)
+- Valuations (PixVerse $2B)
+- Corporate announcements (Waze features, Spotify assistant)
+
+**Taxonomy gap found:** 45 / 200 (22.5%) were UNCATEGORIZED — mostly Reddit/HN opinion + culture-adjacent pieces with no keyword hit. This is exactly the discovery data we wanted: the editorial boundary is sharper than any keyword set yet.
+
+## Consequences
+
+- All future scoring work measures actionability, not recency.
+- The Lens (Sprint 2) is **blocked** until manual review tallies are returned and the taxonomy is tuned by hand.
+- Narratives and memory engines, when built, must encode "what can be done," not "what happened."
+- This ADR is the reference anchor for every later ADR.
+
+## Confirmation
+
+Accepted by founder directive 2026-07-15. Locked in `/docs/vision/VISION_LOCK_V1.md`.