u/General-Front-2025

I stopped trusting AI’s taste this year.

Not its usefulness. I still use AI every day.

But for creative or strategic work, I kept feeling like I was doing the real thinking and the AI was mostly helping me phrase it.

So I started giving it “fingerprint files”: rules, principles, methods, examples, mistakes to avoid, and signs of when to stop.

It worked.

But I can’t write a wisdom file for every subject.

So I asked: where should AI look when it needs better judgment?

Not just Google. Search is useful, but it is shaped by SEO, backlinks, and freshness.

The obvious answer was books.

Books compress years of thought into one subject.

So I built ShelfLayer: a library card for AI agents.

It is an MCP server that lets an AI search 30k+ public-domain books, inspect chapters, and pull relevant passages into its work.

It will not teach your agent the latest React framework.

But for timeless subjects like history, philosophy, strategy, rhetoric, writing, art, biographies, and business history, it is already useful.

The public-domain book layer will stay free forever. Open-copyright books should not be locked behind a paywall.

Beta is fully free.

Link in comments.