--- 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.