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Readoow

In internal testing

Personalized AI language learning

Launch at the end of Q4 2026

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Who it is for

College students preparing for TOEFL, IELTS, CET-4, or CET-6: clear goals, limited time, and results-first learning.

What it solves

Generic materials, no matter which level you are at. What you want to read is incomprehensible, what you can read is meaningless, and the memorized words are quickly forgotten.

What it changes

The article is generated in real time according to your current level, and the generated word into the word book is repeated at intervals; the portrait of interest will also proactively suggest what to read next, and explain why it is it.

Function

generateWeb

AI writes in real time, generates while reading

Provide three modes: free generation, topic-driven, and interest suggestion-driven. The content is streamed and can be read without waiting for the entire article to be written.

serializationWeb

series, volumes, chapters, keep writing.

AI continues to write long essays at your current level, reading one chapter after the next. Mixed languages have been defined in the generation mode. Extended languages are configurations, not reconstructions.

qualityWeb

Target word coverage, explicitly shown to you

Each generation is accompanied by a quality report, listing the target word coverage and mixing ratio. When the subject constraints are not met, coverage and warnings will be returned explicitly, and there will be no silent confusion.

retainWeb

It's not a clock out, it's a settlement ledger.

Garden Planting and Harvesting, Illustrated Books, Daily Check-ins, Achievements and Milestones, Experience and Levels, and Daily Tasks. All interfaces are idempotent. Repeated requests will not be rewarded repeatedly. Products built to long-term operating standards are handled this way, demo versions are not.

DoudouWeb

Whenever you read something you don't understand, ask about it

Read the companionship agent and answer with your current context. You don't have to leave the article to look it up elsewhere, and you don't have to copy out the entire paragraph and reinterpret it.

Cognitive psychology basis

AI个性化学习Products基于清华大学专业心理学与认知科学专家建议

01 · DifficultyJust enough
自动演示

The article is generated in real time according to your level, and you can jump to it.

Vygotsky Recent Development Zone (ZPD) · Krashen understandable input (i +1)

Too easy没有收获, 太难读不下去. 人学的最快的内容是略高于现在的水平. Readoow 每次generate都瞄准比用户水平略高一点的内容.

原理示意

Realized capabilities

10 Item is online

Flow backThe portrait determines the choice and difficulty of the next article. The more you read, the more questions you ask

position

Determine your current level of truth before deciding what to give to the first article

01Entry level assessment
Onboarding Q&A + ability assessment to position the learning starting point.

generate

The article is written on the spot, the difficulty and the vocabulary are according to you

02AI generates personalized articles in real time
Streamed generation, while generating and reading; free/topic-driven/interest suggestion three modes.
03Serialized long article reading
The series, volumes, and chapters are progressive, and the AI continues to write at your level, supporting mixed language mode.
04Generate quality reports
The target word coverage and blending ratio are returned explicitly, and warnings are given when the constraint is not satisfied.

intensive reading

Read, listen, check words, review, plus a mechanism to get you back tomorrow

05listening training
Settled separately from reading, training progress is recorded independently and not overwritten by each other.
06Vocabulary + spaced repetition
Word lookup, word addition, review, due date reminder (SRS).
09Reading Companion Agent (Pocket)
Always ask where you don't understand, with context.
10Complete gamification retention system
Planting harvest, check-in, achievements, XP, daily tasks, all interfaces idempotent, etc.

Flow back

What did you read, where is the card, write it all down and feed it back to the portrait

07Reading behavior burying point
Active sessions and word exposure records, reversing portraits and topic selection.
08Interest portrait-driven topic selection
KG identifies interests from your conversations and readings, proactively suggests the next article and explains why.

Roadmap

  1. 2026 Q4At the end of the quarter, the university community and content channels were launched coldly.
  2. 2027 Q1Comprehensive promotion, running out of retention and conversion data in English scenarios.
  3. 2027 Q2Expand the language and category, and reuse the same set of learning portrait engines.

Readoow

Open web versionLog in
Other platforms
  • iPhoneOpening soon
  • AndroidOpening soon