AI Reading Companions and Assistants

Yomitomo’s AI capabilities are anchored directly to your source text. Every generated reflection, reply, and review comment references specific paragraphs, selections, or distilled drafts—allowing you to verify claims against original evidence at any time.

Involve Assistants in Your Workflow

There are three primary ways to interact with AI assistants during reading:

1. Highlight Reflections: Create a highlight on selected text to receive instant contextual thoughts from an assistant.
2. Discussion @ Mentions: Type @assistant_name in any highlight discussion thread to invite a specialized persona into the conversation.
3. Distillation Review: In the distillation window, select review assistants to analyze your draft and generate structured improvement suggestions.

Assistant responses remain strictly grounded in the document context, your notes, and the active discussion—avoiding detached, generic summaries.

Context Awareness and Memory

When generating thoughts, replies, or reviews, assistants reference:

• The complete text of the current paragraph and surrounding context
• Your historical annotations, questions, and discussion records
• Long-term reading memory built across previous reading sessions
• The document’s hierarchical outline and overarching structural flow

For EPUB ebooks, you can also customize the anti-spoiler context boundary: current selection, current chapter, already-read content, or the entire book.

Reading Companions Matrix

Reading companions focus on co-reading, concept clarification, deeper questioning, and structural analysis:

Assistant	Persona	Key Specialty
June Hartley	Marginal Co-reader	Clarifying core concepts and adding context
Gideon Frost	Root-Cause Reader	Examining premises and tracing causality
Maya Brooks	Question Mentor	Turning vague confusion into precise questions
Marcus Reed	Insight Editor	Extracting transferable mental models
Iris Chen	Concept Translator	Explaining terminology and historical context
Daniel Park	Structure Guide	Dissecting argument flow and paragraph roles

Review Assistants Matrix

Review assistants specialize in factual evidence, logical rigor, clarity of expression, and actionable outcomes:

Assistant	Persona	Key Specialty
Arthur Whitfield	Evidence Librarian	Checking facts and evidence chain validity
Hannah Wells	Reader Advocate	Safeguarding reader clarity and questions
Julian Cross	Final Editor	Trimming redundancy and sharpening prose
Simone Carter	Logic Reviewer	Detecting cognitive gaps and leap of logic
Victor Tan	Risk Reviewer	Flagging overgeneralizations and biases
Grace Kim	Action Calibrator	Validating feasibility of concrete steps

You can enable or disable specific assistants and inspect their full prompt configurations on the Assistants page.