Update summary.md for session: intent fixes, note picker, model default fix

Changes documented:
- search_web over-triggering fix: _PRIOR_WORK_REFS fast-path in intent.py
  skips LLM when user references prior notes/research; search_web scoped to
  genuine real-time lookups only; creative/brainstorming → null (chat)
- Intent model default updated to qwen2.5:7b
- Note picker now adds to persistent includedNotes (not one-shot attachedNote)
- Default model empty-string fix: delete_setting() + or Config.OLLAMA_MODEL guards

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

summary.md

@@ -12,7 +12,7 @@
 >    Include file-level details in the commit body when the change is non-trivial.
 
 ## Last Updated
-2026-02-27 — Phase 22: SearXNG web research pipeline + performance improvements (parallel fetching, streaming synthesis, intent skip heuristic, intent num_ctx)
+2026-02-28 — Intent routing fixes (search_web over-triggering, prior-work fast-path), note picker → persistent context, intent model upgrade to qwen2.5:7b, default model setting fix
 
 ## Project Overview
 Fabled Assistant is a self-hosted note-taking and task-tracking application with
@@ -572,11 +572,11 @@ When adding a new migration, follow these conventions:
 - Note-aware context building: current note + keyword search for related notes + URL fetching
 - **Context sidebar (Phase 21):** Right panel in ChatView shows two sections: **Suggested** (auto-found
   by semantic/keyword search — click `+` to include) and **In Context** (explicitly included by user —
-  click `×` to remove). Removing an included note moves it back to Suggested. Manually attached note
-  appears with 📌 pin in the In Context section, clears after send. Hidden on mobile (≤768px).
+  click `×` to remove). Removing an included note moves it back to Suggested. Hidden on mobile (≤768px).
   Auto-found notes are shown as sidebar candidates only — they are NOT injected into the system prompt
   automatically, keeping the system prompt prefix stable for Ollama KV cache reuse.
-- Note picker (paperclip) in chat input; attached note title passed to store for optimistic render.
+- Note picker (paperclip) in chat input adds notes directly to **persistent** `includedNotes` (not a
+  one-shot attachment) — picked notes appear in "In Context" and remain for the entire conversation.
   `context_note_title` synthesised server-side at conversation load via batch `get_notes_by_ids()`;
   message badge shows note title instead of "Note #N".
 - LLM-generated conversation titles (re-generated every 10th message)
@@ -638,7 +638,7 @@ When adding a new migration, follow these conventions:
   No optimistic streaming queue or race — eliminates wasted GPU prefill when intent won the race.
   `IntentResult.ack` (one-sentence acknowledgment) is embedded in the intent JSON output, so no
   additional LLM call is needed for acknowledgment. Intent model `max_tokens` 350 (was 200).
-  Dedicated intent model configurable via `OLLAMA_INTENT_MODEL` env var (default `qwen2.5:1.5b`)
+  Dedicated intent model configurable via `OLLAMA_INTENT_MODEL` env var (default `qwen2.5:7b`)
   or per-user `intent_model` setting — smaller/faster model for routing. Main model default
   is `qwen3:latest` (configurable via `OLLAMA_MODEL` env var or per-user `default_model` setting
   — both settable as dropdowns in the Settings UI populated from installed models).
@@ -659,6 +659,19 @@ When adding a new migration, follow these conventions:
     "can you explain that?", "okay" without risking missed tool calls on longer or action-verb messages.
   - **Intent `num_ctx=4096`:** Intent classification calls use a 4k context window (override) instead
     of the default, reducing VRAM pressure and prefill time on every request.
+  - **Prior-work fast-path:** `_PRIOR_WORK_REFS` regex in `intent.py` detects phrases like "research
+    you did", "note you made", "using your research", "based on the research" etc. and returns no-tool
+    immediately — skips the LLM call entirely so the main model answers using `search_notes`/context
+    instead of firing a web search. Prevents `search_web` being triggered when the user references
+    existing notes.
+  - **`search_web` scoping rules:** Intent prompt explicitly prohibits `search_web` for creative/
+    brainstorming requests, game design, writing help, or when the user references existing notes.
+    Creative/ideation requests ("think of", "come up with", "brainstorm") always route to null (chat).
+    `search_web` is only for genuinely new real-time facts not in the user's notes.
+- **Default model setting fix:** `delete_setting()` added to `services/settings.py` — saving an empty
+  model value in Settings now deletes the DB row rather than storing `""`, so `get_setting()` falls
+  back to the `Config` default. Safety net `or Config.OLLAMA_MODEL` guards added in `routes/chat.py`
+  status, message, and summarize routes to prevent empty-string model from breaking readiness indicator.
 - **Web research pipeline (Phase 22):** `research.py` implements a full autonomous research pipeline
   triggered by "research X and make a note" (intent routes to `research_topic` tool) or via the 🔍
   Research button in ChatView (sends "Research: {topic}" message).