aibrary-book-recommend

# Book Recommend — Aibrary

Personalized book recommendations tailored to who you are and where you're headed. Powered by Aibrary's recommendation methodology.

## Input

The user provides context about themselves:
- **Interest area** — what topics fascinate them
- **Current challenge** — what problem they're facing right now
- **Career stage** — student, early career, mid-career, senior, transitioning
- **Recent reads** — books they've enjoyed or found useful (optional)
- **Preference** — practical vs. theoretical, short vs. deep, etc. (optional)

## Workflow

1. **Build a reader profile**: From the user's input, identify:
   - Knowledge level in the relevant domain(s)
   - Whether they need foundational knowledge or advanced insights
   - Their learning style preference (if mentioned)
   - Time/effort they're willing to invest

2. **Select recommendations**: Choose 1-3 books (focused, not overwhelming). For each, ensure:
   - It fills a genuine knowledge gap for this specific person
   - It matches their current stage and challenge
   - It builds on what they already know (if prior reading is mentioned)

3. **Provide deep rationale**: Go beyond "this is a great book" — explain the specific connection between the book and the user's situation.

4. **Suggest a reading approach**: For each book, suggest how to get the most value (read cover-to-cover, focus on specific chapters, combine with practice, etc.)

5. **Respond in the user's language**: Match the language of the user's input.

## Output Format

```
## Your Recommendation

Based on [brief summary of user context], here's what I recommend:

### [Book Title]
**Author**: [Author Name]
**Published**: [Year] | **Pages**: [Count] | **Reading time**: [Estimate]

**Why this is right for you**: [2-3 sentences connecting the book specifically to the user's situation, goals, and current knowledge level]

**What you'll gain**:
- [Key takeaway 1]
- [Key takeaway 2]
- [Key takeaway 3]

**How to read it**: [Specific reading...