Generalize from health-specific to universal personal assistant

The app manages multiple life areas (health, finance, personal, work),
not just health. Updated all health-specific language throughout:

Backend:
- Default system prompt: general personal assistant (not health-only)
- AI tool descriptions: generic (not health records/medications)
- Memory categories: health, finance, personal, work, document_summary, other
  (replaces condition, medication, allergy, vital)
- PDF template: "Prepared for" (not "Patient"), "Key Information" (not "Health Profile")
- Renamed generate_health_pdf -> generate_pdf_report, health_report.html -> report.html
- Renamed run_daily_health_review -> run_daily_review
- Context assembly: "User Profile" (not "Health Profile")
- OpenAPI: generic descriptions

Frontend:
- Dashboard subtitle: "Your personal AI assistant"
- Memory categories: Health, Finance, Personal, Work
- Document types: Report, Contract, Receipt, Certificate (not lab_result, etc.)
- Updated en + ru translations throughout

Documentation:
- README: general personal assistant description
- Removed health-only feature descriptions

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

backend/app/services/ai_service.py

@@ -24,13 +24,13 @@ client = AsyncAnthropic(api_key=settings.ANTHROPIC_API_KEY)
 AI_TOOLS = [
     {
         "name": "save_memory",
-        "description": "Save important health information to the user's memory. Use this when the user shares critical health data like conditions, medications, allergies, or important health facts.",
+        "description": "Save important information to the user's memory. Use this when the user shares critical personal data, facts, preferences, or key details they want to remember across conversations.",
         "input_schema": {
             "type": "object",
             "properties": {
                 "category": {
                     "type": "string",
-                    "enum": ["condition", "medication", "allergy", "vital", "document_summary", "other"],
+                    "enum": ["health", "finance", "personal", "work", "document_summary", "other"],
                     "description": "Category of the memory entry",
                 },
                 "title": {"type": "string", "description": "Short title for the memory entry"},
@@ -46,7 +46,7 @@ AI_TOOLS = [
     },
     {
         "name": "search_documents",
-        "description": "Search the user's uploaded health documents for relevant information. Use this when you need to find specific health records, lab results, or consultation notes.",
+        "description": "Search the user's uploaded documents for relevant information. Use this when you need to find specific records, files, or notes the user has uploaded.",
         "input_schema": {
             "type": "object",
             "properties": {
@@ -57,13 +57,13 @@ AI_TOOLS = [
     },
     {
         "name": "get_memory",
-        "description": "Retrieve the user's stored health memories filtered by category. Use this to recall previously saved health information.",
+        "description": "Retrieve the user's stored memories filtered by category. Use this to recall previously saved information.",
         "input_schema": {
             "type": "object",
             "properties": {
                 "category": {
                     "type": "string",
-                    "enum": ["condition", "medication", "allergy", "vital", "document_summary", "other"],
+                    "enum": ["health", "finance", "personal", "work", "document_summary", "other"],
                     "description": "Optional category filter. Omit to get all memories.",
                 },
             },
@@ -94,7 +94,7 @@ AI_TOOLS = [
     },
     {
         "name": "generate_pdf",
-        "description": "Generate a PDF health report compilation from the user's data. Use this when the user asks for a document or summary of their health information.",
+        "description": "Generate a PDF report compilation from the user's data. Use this when the user asks for a document or summary of their stored information.",
         "input_schema": {
             "type": "object",
             "properties": {
@@ -173,8 +173,8 @@ async def _execute_tool(
         })
 
     elif tool_name == "generate_pdf":
-        from app.services.pdf_service import generate_health_pdf
-        pdf = await generate_health_pdf(db, user_id, title=tool_input["title"])
+        from app.services.pdf_service import generate_pdf_report
+        pdf = await generate_pdf_report(db, user_id, title=tool_input["title"])
         await db.commit()
         return json.dumps({
             "status": "generated",
@@ -213,7 +213,7 @@ async def assemble_context(
     memories = await get_critical_memories(db, user_id)
     if memories:
         memory_lines = [f"- [{m.category}] {m.title}: {m.content}" for m in memories]
-        system_parts.append(f"---\nUser Health Profile:\n" + "\n".join(memory_lines))
+        system_parts.append(f"---\nUser Profile (Key Information):\n" + "\n".join(memory_lines))
 
     # 5. Relevant document excerpts (based on user message keywords)
     if user_message.strip():