diff --git a/.gitignore b/.gitignore
index 6bf0dde..474a2d6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -41,3 +41,17 @@ services/nginx/certs/*.key
 
 # ─── Alembic ──────────────────────────────────────────────
 *.db
+
+# ── GSD baseline (auto-generated) ──
+.gsd
+Thumbs.db
+*.code-workspace
+.env.*
+!.env.example
+.next/
+target/
+vendor/
+*.log
+coverage/
+.cache/
+tmp/
diff --git a/DECISIONS.md b/DECISIONS.md
deleted file mode 100644
index 5d6de87..0000000
--- a/DECISIONS.md
+++ /dev/null
@@ -1,67 +0,0 @@
-# Fractafrag — Project Decisions
-
-## D001 — Backend Language & Framework
-- **Choice:** Python + FastAPI
-- **Rationale:** AI/ML integrations (pgvector, LLM clients, embeddings) are Python-native. FastAPI gives async performance with Pydantic auto-generated OpenAPI docs. Celery + Redis is mature for job queues.
-- **Made by:** Collaborative
-- **Revisable:** No
-
-## D002 — Frontend Stack
-- **Choice:** React 18 + Vite + Three.js + TanStack Query + Zustand + Tailwind CSS
-- **Rationale:** Three.js for 3D shader rendering, raw WebGL for feed thumbnails. React UI, TanStack Query for server state, Zustand for client state.
-- **Made by:** Collaborative
-- **Revisable:** No
-
-## D003 — Database & Cache
-- **Choice:** PostgreSQL 16 + pgvector + Redis 7
-- **Rationale:** pgvector for taste/style/desire embeddings (ANN). Redis for sessions, feed cache, rate limiting, Celery broker.
-- **Made by:** Collaborative
-- **Revisable:** No
-
-## D004 — Container Orchestration
-- **Choice:** Single Docker Compose stack, self-hosted, no cloud dependencies
-- **Rationale:** Self-contained with nginx reverse proxy. .env-driven config.
-- **Made by:** Collaborative
-- **Revisable:** No
-
-## D005 — Media Storage (Q1)
-- **Choice:** Docker volume initially, S3-compatible config flag for later migration
-- **Rationale:** Volume is simplest for single-server. Add Minio/S3 when storage grows large.
-- **Made by:** Agent (per spec recommendation)
-- **Revisable:** Yes
-
-## D006 — Style Embedding Model (Q2)
-- **Choice:** Heuristic classifier + LLM structured output for M1, fine-tune later
-- **Rationale:** No training data yet for fine-tuning. Heuristic is fast/cheap, LLM fills accuracy gaps.
-- **Made by:** Agent (per spec recommendation)
-- **Revisable:** Yes
-
-## D007 — Renderer Approach (Q3)
-- **Choice:** Puppeteer + Headless Chromium
-- **Rationale:** Accurate browser-equivalent rendering. Profile at M2 and optimize if needed.
-- **Made by:** Agent (per spec recommendation)
-- **Revisable:** Yes
-
-## D008 — Generation Status UX (Q4)
-- **Choice:** Polling for M5, SSE upgrade later
-- **Rationale:** Simpler to implement. Generation takes 5-30s, 2s polling is acceptable UX.
-- **Made by:** Agent (per spec recommendation)
-- **Revisable:** Yes
-
-## D009 — Comments Scope (Q6)
-- **Choice:** Defer to post-M5 polish sprint
-- **Rationale:** Schema is in place. Feature is not on critical path for core product loop.
-- **Made by:** Agent (per spec recommendation)
-- **Revisable:** Yes
-
-## D010 — Moderation Approach (Q7)
-- **Choice:** Admin API endpoints only (/api/v1/admin/queue). No admin UI for M4.
-- **Rationale:** Simple approve/reject actions via API. Admin panel deferred until scale demands it.
-- **Made by:** Agent (per spec recommendation)
-- **Revisable:** Yes
-
-## D011 — Creator Economy
-- **Choice:** Deferred until organic traction (500 DAU, 1000 shaders, 20 active creators)
-- **Rationale:** Build the hooks (schema stubs, engagement tracking), not the features. Monetization on a platform nobody uses is worthless.
-- **Made by:** Collaborative (per spec Section 11)
-- **Revisable:** Yes