BookSignal demo

A curated reading path from one messy learning goal.

This demo shows the MVP promise: interpret the user, search real book metadata, rank by fit, and explain why each book belongs in the path.

Try the live MVP View demo results

Example query

Books on AI consciousness and model welfare. I want something serious but readable. I am not looking for shallow AI hype books.

Intent parsed

AI consciousness, sentience, moral status, model welfare

Sources searched

Google Books + Open Library

Candidates ranked

120 retrieved, 109 deduped, 5 selected

Output style

Serious, readable, no shallow AI hype

Explains the match

Each result says why it fits, what it covers, what it misses, and who it is best for.

Ranks before it writes

Retrieval, metadata quality, semantic similarity, and LLM judgment combine into the final order.

Learns from feedback

Users can save, hide, or mark books as too academic, too shallow, already read, or not relevant.

Demo recommendations

A fixed sample for your website; the live app can generate new lists from arbitrary queries.

Website-safe demo mode

Start here

Saving Artificial Minds

Understanding and Preventing AI Suffering

Leonard Dung, 2025

Directly targets AI suffering risk, machine sentience, moral standing, and practical approaches for reducing welfare risks.

DifficultyMedium

Best forModel welfare and moral status

Caveat: Best once the reader is comfortable with some philosophy of mind language.

SaveMore like thisToo academicToo shallowNot relevant

Foundational

Artificial You

AI and the Future of Your Mind

Susan Schneider, 2019

A serious, readable philosophical bridge between consciousness, AI minds, personal identity, and ethical implications.

DifficultyMedium

Best forConceptual grounding

Caveat: Less focused on operational AI welfare frameworks than on the broader mind question.

SaveMore like thisToo academicToo shallowNot relevant

Technical / Academic

Computational Approaches To Conscious Artificial Intelligence

Antonio Chella, 2023

Surveys computational approaches to conscious AI, including pain, suffering, intentional action, and machine categorization.

DifficultyHard

Best forMachine consciousness research

Caveat: Edited and more academic, so it is better after an orientation book.

SaveMore like thisToo academicToo shallowNot relevant

Contrarian / Skeptical

Consciousness Explained

Daniel C. Dennett, 1991

Gives a durable, deflationary account of consciousness that helps test assumptions behind AI sentience claims.

DifficultyMedium

Best forA skeptical frame on consciousness

Caveat: Not an AI welfare book; useful as a lens rather than a direct answer.

SaveMore like thisToo academicToo shallowNot relevant