Micro-learning Content Factory

Step 1 of 1

Define your learning context

These inputs are not a generic form — each dimension directly shapes the pedagogical structure of the generated script.

Central topic

The core concept the learner must understand. Be specific — "phishing attacks" over "cybersecurity".

Audience expertise level

Determines cognitive load calibration and the complexity of examples used throughout the script.

Beginner No prior knowledge assumed Intermediate Familiar with the domain Expert Deep practitioner knowledge

Learning objective

Write it as a behavioral outcome using a Bloom's verb — this becomes the Gagné Event 2 anchor of the script.

Communication tone

Shapes sentence structure, vocabulary register, and the emotional arc of the narrative.

Professional Formal, authoritative Close / Casual Conversational, warm Inspirational Motivational, energetic Technical Precise, data-driven

Script language

The entire output — including Gagné section headers and visual cues — will be generated in this language.

Watch the pipeline execute in real time.

Webhook received Form data dispatched to n8n

Session registered Record created in Supabase

Pedagogical agent running AI Agent processing with Gemini

Applying Gagné structure 9 Events of Instruction mapped

Script complete Output saved and ready

0.0 seconds elapsed

Generated script

— sec 9/9 Gagné Events

Script gallery

Each script was produced by the same orchestration pipeline — demonstrating consistent output at scale.

Loading scripts from Supabase…