Product snapshot
What Should I Read Next is a web-based recommendation tool that uses a custom AI engine called Robo Ratel to suggest books tailored to each reader. The app helps people find their next favorite title by matching recommendations to individual tastes and feelings, creating a more personally relevant reading experience.
How recommendations are created
Robo Ratel generates suggestions by analyzing user-provided cues: preferred genres, specific narrative features, and the reader’s current mood. The system blends those inputs to prioritize titles that reflect the emotional tone and storytelling elements a user wants, rather than relying solely on popular lists or broad categories.
Standout capabilities
- Suggests books based on narrative qualities like character arcs, emotional pacing, and stylistic devices.
- Adapts recommendations to the reader’s emotional state and long-term literary preferences.
- Covers a wide range of settings and storytelling techniques so suggestions feel varied and engaging.
Input options you can use
- Genre selections (science fiction, historical, romance, fantasy, etc.)
- Narrative traits such as plot complexity, point of view, or tone
- Current mood and emotional preferences
Themes and reading moods to explore
- Heartwarming stories that emphasize warmth, connection, and emotional payoff
- High-tension mysteries and thrillers for readers who crave suspense
- Speculative and science fiction adventures for imaginative, concept-driven reading
- Character-focused literary fiction for deep emotional and psychological exploration
- Cozy or uplifting reads for low-stakes, comforting experiences
Who benefits
Avid readers wanting curated, personally relevant suggestions will find this tool especially useful. Whether you’re expanding your usual genres or seeking books that match how you feel right now, the app aims to make discovery more satisfying and efficient.
Availability and tiers
The service offers basic recommendation features at no cost, with an enhanced, paid tier that unlocks more advanced personalization and richer recommendation options (an updated V2 is available for premium users).
Technical
- Web App
- Full