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AI Reading Experience / 2024

AI Story Companion

An AI-assisted continuation experience that helps long-form fiction readers recover plot memory, character context, clues and worldbuilding after reading breaks.

AI Story Companion

Core pain

reading drop-off

Method

interviews + survey

AI workflow

ChatGPT + Codex + Figma

Interactive Prototype

Try the AI reading companion inside a phone frame.

Switch between recap, character map, clue timeline and AI Q&A to see how the experience helps readers return to a long story.

Overview

Long serial novels often contain hundreds of chapters, dense character relationships and multi-threaded narratives. The product gives readers a calm way back into the story before they abandon it.

Problem

Readers do not always quit because interest is gone. They quit because the story becomes hard to re-enter after days away.

Wireframe

The low-fidelity flow separates quick recall, deeper exploration and AI Q&A so readers can choose the smallest amount of help they need.

High Fidelity

The final UI uses a warm reading surface, clear hierarchy and light orange accents to preserve the feeling of reading rather than turning the flow into a dashboard.

Prototype

Prototype states include chapter recovery, character graph expansion, clue tracking and AI-generated recap cards.

Motion

Motion focuses on gentle memory reconstruction: cards unfold, timelines connect and character relationships draw in progressively.

Reflection

The project sharpened my belief that AI is most meaningful when it lowers cognitive friction without taking over the user's emotional relationship with the content.

Research

  • Interviewed readers who follow long fantasy and web fiction series.
  • Mapped competitor gaps across QQ Reading, Qidian and Qimao Reading.
  • Compared recap, community and recommendation flows to understand where re-entry fails.

Insights

01

Plot memory decays quickly after a reading break, especially around day 7.

02

Readers need context before content: recap, characters, timeline and clues.

03

Community comments help, but they are noisy and unreliable for precise recall.

User Journey

01

Pause reading

02

Forget relationships

03

Open story companion

04

Scan recap and character map

05

Return to chapter with confidence

Project Portfolio

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