Claro's Core Generation Engine

A Paradigm Shift in Authoring

Moving Beyond Manual Building

In traditional e-learning development, tools like Articulate Storyline require manual storyboarding, asset creation, and complex trigger programming. This labor-intensive process often takes weeks.

Claro AI represents a paradigm shift: it is an AI-native engine that bypasses the manual 'slide-building' phase entirely, converting raw data into interactive experiences in minutes.

Welcome to the future of e-learning development, where the days of manual slide building are evolving into instantaneous generation. Traditionally, converting a technical document into a course meant weeks of manual storyboarding and trigger setup in tools like Articulate. But as seen on tryclaro.ai, Claro AI bypasses this manual phase entirely, ingesting raw data to produce narrated, animated content in minutes rather than days.

• Traditional tools require manual storyboarding and triggers.
• Claro AI is an AI-native engine that automates the build phase.
• The shift is from 'building slides' to 'generating experiences'.

How Ingestion Works

Document-to-Course Ingestion

Claro’s engine is designed to 'read' and 'understand' unstructured data from various sources:

• PDFs
• Word Documents
• PowerPoint Decks

The AI analyzes the hierarchy of information, identifies learning objectives, and structures content into logical modules automatically.

How does Claro actually 'understand' your content? Whether you upload a PDF, a Word doc, or a deck, the engine performs a deep analysis. It identifies the hierarchy of information and maps out learning objectives. This allows you to generate high-quality training without needing an instructional designer to map out every single interaction from scratch.

• Claro 'reads' unstructured data like PDFs and Word docs.
• It automatically identifies hierarchy and learning objectives.
• No dedicated instructional designer is required for initial mapping.

Narration and Animation

Automated Polish

Claro handles the two most time-consuming elements of course polish: Narration and Animation.

• AI Narration: Natural-sounding text-to-speech models that are automatically synced to on-screen elements.
• Contextual Animation: Visual cues and animations are generated based on the context of the text, such as process flows or key term highlights.

Polishing a course usually takes days of recording and syncing. Claro utilizes advanced text-to-speech models to generate natural narration instantly. This audio is automatically synced with on-screen content. Furthermore, the engine generates animations based on context—if you're describing a process, Claro visualizes it dynamically, keeping learners engaged without you ever touching a trigger.

• AI-driven narration eliminates the need for voice talent and manual syncing.
• Animations are context-aware, visualizing processes automatically.
• Audio and visuals are perfectly aligned upon generation.

Scenario: The SOP Transformation

The 7-Day vs. 45-Minute Challenge

Imagine you are an L&D Lead. You have a 30-page Standard Operating Procedure (SOP) that must be deployed to 500 workers by Friday. Compare the two paths below.

Let's look at a real-world scenario. You have a 30-page SOP for heavy machinery that needs to be a course by Friday. Click the 'Articulate Path' to see the traditional timeline. Then, click the 'Claro Path' to see the difference. The Claro path is a sprint. You upload the PDF, and in under 15 minutes, the course is ready. Spend 30 minutes with the AI Copilot for final tweaks, and you're done in 45 minutes total. That is a massive strategic advantage. The Articulate path is a marathon. It takes 2 days to storyboard, 3 days to build, and 2 days to record. Total: 7 days.

• Traditional: 7 days (Storyboarding, Building, Recording).
• Claro: 45 minutes (Ingestion + Copilot Refinement).
• Massive time savings for urgent compliance or technical training.

Your 4-Step Workflow

Applying the Engine

Follow these steps to leverage the core generation engine effectively:

1. Prepare Your Source: Clean documents with clear headings work best.
2. Upload and Ingest: Use 'Create from Document'.
3. Review the Draft: Check for technical accuracy and summaries.
4. Refine with Copilot: Adjust tone or add quizzes.

Ready to try it? Here is your workflow. First, ensure your source document is clean—clear headings lead to better outlines. Next, upload your file and let the engine ingest it. Third, review the draft to ensure the AI hasn't summarized complex data too aggressively. Finally, use the AI Copilot to refine the tone or add specific interactivity.

• Clear document structure improves AI accuracy.
• Review is essential to catch aggressive summaries.
• Use Copilot for the 'last mile' of customization.

Refining with the Socratic Copilot

The 'Last Mile' of Creation

The AI Copilot is your intelligent assistant. If the engine's first pass isn't perfect, you don't rebuild—you converse.

Practice asking the Copilot to adjust your course content.

The engine gets you 90% of the way there. For the last 10%, you have the AI Copilot. Imagine you just generated a safety course, but the tone is too formal. Try asking the Copilot to make it more engaging or to add a quiz about machine safety.

• Copilot acts as an intelligent assistant for on-the-fly edits.
• Conversational editing replaces manual trigger adjustment.
• Focus on high-level strategy rather than manual building.