Context Libraries: Giving AI Your Full Story Before Conversation

A context library is essentially a digital filing system where you teach an AI who someone was. It's like writing a biography, but in bite-sized pieces. Each time you add a detail—"She loved mystery novels," "He was afraid of heights," "They had three siblings"—you're building a richer, more complete picture that the AI can draw from later.

Why does this matter? Imagine telling a grief counselor about your loss. You wouldn't start from scratch every session; you'd build on what you've already shared. Context libraries work the same way. Instead of re-explaining who your loved one was every time you talk to an AI, the system learns and remembers.

What Goes Into a Context Library

Think of it in layers. The base layer is biographical: name, age, occupation, key relationships. The second layer is personality and values: what made them laugh, what they cared about, how they showed love. The third layer is specific memories: places they loved, traditions they kept, words they often said. The deepest layer is meaning: what their life meant to you, what you learned from them, what you want to remember most.

You don't need to do this all at once. Better to add details gradually, as they surface naturally in your grieving process. Some details emerge in conversations with friends. Some hit you unexpectedly. A smell reminds you of something they did. A song brings back a conversation. When these moments happen, you add them to your context library.

How This Changes Conversations with AI

Without a context library, asking an AI "What would my dad say about this decision?" gets generic advice. With a library that includes Dad's philosophy, his experiences, his particular way of seeing the world, the AI can offer guidance that actually sounds like him. That doesn't mean the AI becomes him—it doesn't—but it becomes a better mirror of his thinking.

This is especially powerful for processing grief. You can ask the AI to help you write a letter to your lost loved one, knowing the system understands the specific relationship. You can explore "What would they think of who I'm becoming?" with real depth.

The Practical Setup

You can build a context library using Obsidian (storing everything locally and privately) or by maintaining organized conversations with Claude or ChatGPT. The key is consistency: same tool, same format, same place to return.

Try this: Start a new document titled with your loved one's name. Spend 10 minutes writing answers to these prompts: 1) What was their most distinctive habit? 2) What did they always say? 3) What made them angry? 4) What made them proud? 5) What were they afraid of? Save this. You've started a context library. Return to it monthly, adding new details as they surface.