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Build apps, websites, and AI agents in English. Zero-interaction setup for AI agents (Claude Code, Cursor, Windsurf). Download to your computer, run in the cloud, deploy to the edge. Open source and free forever.
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Markdown
---
title: Features In English
dimension: things
category: features-in-english.md
tags: ai
related_dimensions: connections, events, people
scope: global
created: 2025-11-03
updated: 2025-11-03
version: 1.0.0
ai_context: |
This document is part of the things dimension in the features-in-english.md category.
Location: one/things/features-in-english.md
Purpose: This feature creates an intelligent content flywheel, maximizing the value of every video a creator
Related dimensions: connections, events, people
For AI agents: Read this to understand features in english.
---
### New Feature Examples, Written in Plain English
#### 1. Automated Content Repurposing Engine
This feature creates an intelligent content flywheel, maximizing the value of every video a creator produces.
**FEATURE:** Repurpose high-performing videos into a blog post and social media thread
**WHEN** a creator's video reaches 10,000 views
**FLOW:**
GET the video WHERE view count is 10,000
SAVE AS source video
CALL OpenAI to transcribe the video
WITH source video audio
SAVE AS transcript
CALL OpenAI to identify the 5 key takeaways
WITH the transcript
SAVE AS key takeaways
CALL OpenAI to write a detailed blog post
WITH the transcript and key takeaways
IN THE STYLE OF the creator's previous blog posts
SAVE AS blog post content
CREATE blog post called "Insights from my Latest Video"
WITH blog post content
WITH a link to the source video
WITH status "draft"
SAVE AS new post
**CONNECT** creator to new post as **authored**
CALL OpenAI to write a 5-part social media thread
WITH the key takeaways
SAVE AS social thread content
CREATE social post called "Thread: 5 Key Ideas from my New Video"
WITH social thread content
SAVE AS new thread
**CONNECT** new post to new thread as **references**
NOTIFY creator ABOUT the new draft content
VIA in-app message
WITH a link to review and publish
---
#### 2. Proactive Student Engagement Journey
This feature acts as an automated teaching assistant, ensuring students stay engaged and get help when they need it.
**FEATURE:** Onboard and nurture new course students
**WHEN** a student enrolls in a course
**FLOW:**
**WAIT** 1 hour
NOTIFY the student ABOUT their enrollment
VIA email
WITH a welcome message and a link to the first lesson
**WAIT** 3 days
GET the student's progress WHERE they are enrolled in the course
SAVE AS course progress
CHECK course progress is greater than 0
OTHERWISE NOTIFY the student ABOUT getting started
VIA push notification
WITH a motivational message: "Ready to dive in? Your first lesson is waiting for you!"
**WAIT** 7 days
GET the student's completed lessons
SAVE AS completed lessons
CHECK completed lessons is greater than 2
THEN GIVE the student 50 tokens as a reward for their progress
AND NOTIFY them about the reward
---
#### 3. Dynamic, AI-Generated Personalized Course
This is a premium, high-value feature that demonstrates the full power of the AI-native ontology.
**FEATURE:** Generate a personalized learning path for a fan
**INPUT:**
- fan: who is the course for
- topic: what they want to learn
**OUTPUT:**
- course ID: the new, personalized course
**FLOW:**
CHECK fan owns at least 1000 tokens
OTHERWISE say "This feature requires 1000 tokens to create a custom course."
GET all of the creator's content WHERE the knowledge label is the fan's topic
SAVE AS source materials
CALL OpenAI to analyze and structure a 5-part curriculum
WITH the source materials
SAVE AS curriculum
CREATE course called "Your Personal Path to Mastering [topic]"
WITH the fan's name in the description
SAVE AS new course
CONNECT fan to new course as enrolled
CONNECT creator to new course as teaching
FOR EACH chapter IN the curriculum
DO CREATE a lesson WITH the chapter's content
AND CONNECT the lesson to new course as part_of
RECORD personalized course generated
BY fan
WITH the topic
WITH the number of lessons created
**GIVE** the course ID and a success message
---
### Strategic Implications of This System
This Plain English DSL unlocks three transformative business capabilities:
1. **The Creator App Store:** Creators can now write and package their own features. A power user could write a sophisticated "Automated Substack Newsletter" feature and _sell or share it_ with other creators on the ONE platform. The platform evolves from a tool into a self-sustaining ecosystem and marketplace.
2. **The Rise of the "AI Feature Engineer":** You can give a high-level business goal to an AI agent (e.g., "Increase fan-to-token-holder conversion by 10%"). The agent can analyze existing data, hypothesize a solution, write a new feature in Plain English (like a "first-time buyer discount"), and deploy it. The system becomes self-optimizing.
3. **Zero-Ambiguity Auditing and Governance:** When business logic is written in auditable, version-controlled English, compliance and governance become trivial. You can prove exactly how the system works for any given feature by simply reading its specification, which is always in sync with the live code.