AI Features

Generates hierarchical course structures (modules, lessons, topics) from user-provided prose descriptions by analyzing the current page context within the Heights platform. The system maintains session-aware state of what the user is working on and uses that context to produce structurally appropriate outlines with suggested lesson sequences. Generation appears to be synchronous with real-time output to the UI, though latency and queue behavior at scale are undocumented.

Generates professional marketing copy for course landing pages, course descriptions, and lesson descriptions by analyzing the course outline and user-provided context. The system produces prose optimized for conversion (benefit-focused language, clear value propositions) and can regenerate variations on demand. Integration with the platform's no-code website builder allows generated copy to be directly inserted into landing pages without manual formatting.

Selects or generates appropriate cover images for courses and lessons based on course topic and content. The system analyzes course titles, descriptions, and topics to recommend or generate visually appealing cover images. Image selection method is undocumented (stock library vs. AI generation), but the system produces images optimized for course thumbnails and landing pages. Images can be replaced or regenerated on demand.

Generates suggestions for additional lessons, topics, and curriculum expansions based on existing course content and learning objectives. The system analyzes the current course structure and identifies gaps or opportunities for deeper coverage. Suggested lessons include titles, descriptions, and learning objectives. Suggestions can be accepted to auto-populate lesson templates or rejected to refine recommendations.

Maintains awareness of the user's current activity within the Heights platform by analyzing the active page, form state, and project context. This context awareness enables AI features to provide relevant suggestions and generate content tailored to what the user is currently working on. The system appears to use DOM inspection or state tracking to understand the current page and context, though the technical implementation is undocumented. Context is used to improve generation quality across all AI features (outlines, copy, coaching).

Generates professional email templates for course announcements, weekly newsletters, and community round-up digests by analyzing course content, community activity, or user-provided topics. The system produces HTML-formatted emails with subject lines, body copy, and call-to-action buttons optimized for email clients. Weekly community round-up emails are generated automatically by analyzing community discussion activity and summarizing key posts/conversations.

Generates suggested discussion topics and conversation prompts for community forums by analyzing course content, student learning objectives, and community engagement patterns. The system produces discussion prompts designed to encourage member participation and knowledge sharing. Prompts are context-aware to the course topic and can be customized by community managers before posting.

Analyzes existing course content (lesson descriptions, video metadata, course structure) and provides feedback on quality, completeness, clarity, and pedagogical effectiveness. The system evaluates lessons against best practices for online education and suggests improvements. Review criteria appear to include lesson clarity, learning objective alignment, and engagement potential, though specific evaluation rubrics are undocumented.

Generates complete landing pages and course websites from natural language descriptions using a drag-and-drop no-code builder. The AI produces page layouts, copy, images, and call-to-action buttons optimized for conversion. Generated pages can be edited visually without code, and the AI can regenerate sections or entire pages on demand. Integration with Stripe and PayPal payment processors enables direct course sales from generated landing pages.

Automatically moderates community discussion posts by filtering spam, inappropriate content, and off-topic discussions. The system applies moderation rules to flag or remove posts that violate community guidelines. Moderation criteria and rule configuration are undocumented, but the system appears to use content classification to identify problematic posts. Human moderators can review flagged posts and override AI decisions.

Analyzes community member activity and generates engagement metrics including participation rates, discussion frequency, and member retention. The system produces charts and dashboards showing which members are active, which discussions are popular, and engagement trends over time. Analytics are used to identify at-risk members (low engagement) and inform AI-generated engagement strategies (discussion prompts, emails).

Generates personalized weekly action plans and business coaching recommendations based on user-defined business goals and progress. The system analyzes the user's course/community metrics, engagement data, and stated objectives to produce specific, actionable tasks for the week. Coaching is delivered via the Heights AI Coach chatbot and is available on Pro tier and above. Plans are generated weekly and can be customized based on user feedback.

Provides 24/7 AI-powered question answering for platform usage questions and business growth guidance. The chatbot answers questions about Heights features, course creation workflows, community management, and general business advice. Questions the chatbot cannot answer are escalated to human support. The chatbot maintains conversation context across multiple messages and can provide follow-up guidance.