Ask Your Brain

Your Brain is more than search — it’s a conversation with your knowledge.

How It Works

  1. Type your question in natural language
  2. Brain analyzes your question’s meaning and intent
  3. Semantic search finds the most relevant items across your entire brain
  4. AI synthesizes an answer with citations
  5. Response streams in real-time

What Makes It Different

Semantic Understanding

Unlike keyword search, Brain understands meaning. Ask “What did I learn about performance optimization?” and it finds items about speed, caching, and load times — even if those exact words weren’t used.

This works because every item in your brain is converted to an AI embedding (a numerical representation of meaning). When you ask a question, Brain finds items with similar meaning, not just matching text.

Brain combines multiple search methods for the best results:

  • Vector search — Semantic similarity using AI embeddings
  • Topic matching — Direct topic and keyword matching
  • Recency boost — Recent items get priority when relevant

This hybrid approach ensures you find both conceptually related items and exact matches.

Intent Detection

Brain automatically detects what you’re looking for:

  • Shopping queries — “What’s on my shopping list?” → Shows your shopping items
  • Calendar queries — “What’s on my agenda?” → Pulls from your calendar
  • Task queries — “What tasks are open?” → Shows your todos
  • General knowledge — Everything else searches your full brain

Real-Time Streaming

Responses appear instantly as they’re generated — no waiting for the full answer. You’ll see the AI’s thinking unfold in real-time.

Source Citations

Every response includes clickable citations linking back to the original items. You always know where the information came from.

Example Queries

Task Management

  • “What tasks do I have open?”
  • “What did I complete last week?”
  • “What’s overdue?”
  • “Show me tasks related to Project X”

Calendar & Planning

  • “What’s on my agenda tomorrow?”
  • “When is my next meeting with Sarah?”
  • “What events do I have this month?”
  • “What did I have scheduled last week?”

Knowledge Retrieval

  • “What do I know about React hooks?”
  • “Summarize my notes on the marketing project”
  • “Find everything related to client X”
  • “What did I learn about productivity?”

Insights & Summaries

  • “What patterns do you see in my work?”
  • “Give me a summary of this week”
  • “What should I focus on today?”
  • “What topics have I been thinking about most?”

Discovering Connections

  • “How is React connected to TypeScript in my notes?”
  • “Show me related ideas to ‘startup’”
  • “What connects my work projects to my personal goals?”

Tips for Better Results

  1. Be specific — “React hooks performance” finds more relevant results than just “React”
  2. Include time context — “last week”, “this month”, “in January”
  3. Use natural language — No special syntax required, just ask like you’d ask a colleague
  4. Ask follow-up questions — Refine your search iteratively
  5. Try summaries — “Summarize what I know about X” gives you a quick overview

Coming Soon

  • Voice queries
  • Proactive suggestions based on your context
  • Weekly insight reports
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