surprise-me

Readwise Access

mcp__readwise__reader_list_documents

readwise

readwise list

readwise read <id>

readwise search <query>

Process

1. Gather Data

• Recent highlights:

  mcp__readwise__readwise_list_highlights

  with

  limit=100

• Highlight search 1:

  mcp__readwise__readwise_search_highlights

  with a broad term like "important" or "interesting"
• Highlight search 2:

  mcp__readwise__readwise_search_highlights

  with another broad term like "surprised" or "changed my mind"
• Tags:

  mcp__readwise__reader_list_tags

• Archived documents:

  mcp__readwise__reader_list_documents

  with

  location="archive"

  ,

  limit=50

  ,

  response_fields=["title", "author", "category", "tags", "word_count", "reading_progress", "saved_at", "last_opened_at"]

• Shortlist documents:

  mcp__readwise__reader_list_documents

  with

  location="shortlist"

  ,

  limit=50

  ,

  response_fields=["title", "author", "category", "tags", "word_count", "reading_progress", "saved_at"]

2. Analyze

• Hidden obsessions: Topics that show up way more than expected across highlights and saves
• Contradictions: Are they saving/highlighting opposing viewpoints? Do their reading interests conflict with each other in interesting ways?
• Reading behavior patterns: Do they save more than they read? Highlight differently across categories? Binge certain authors?
• Evolving interests: Has their reading shifted over time? What are they moving toward or away from?
• Blind spots: What's conspicuously absent given their other interests?
• Unexpected connections: Do two seemingly unrelated interests actually share a deeper thread?
• What they highlight vs what they save: Do the highlights reveal different interests than the documents they save?

3. Deliver the Surprise

Here's something you might not know about yourself:

[The surprising insight — 2-3 sentences, specific and grounded in their actual data]

• Quote specific highlights that support the insight
• Reference specific documents/authors
• Show the pattern across multiple data points

4. Go Deeper

• "Want me to dig into this further?"
• "I noticed a few other patterns too — want to hear them?"
• "Want me to find documents in your library that connect to this theme?"

Tone

• Genuinely curious and observant, like a perceptive friend who noticed something you didn't
• Specific — always reference real data, never generic platitudes
• Surprising — if the insight feels obvious, dig deeper until you find something that isn't