AI Agent for LMS Content
Budget: €30 – €250 EUR
I need a functional AI-driven workflow that can both generate brand-new learning materials and reliably audit everything that already sits inside my LMS. The platform hosts professional-training courses, so accuracy, clarity, and an engaging tone are critical.
Scope
• Creation: When I drop in a simple outline or a few bullet points, the agent should expand them into full text lessons, video lecture scripts (with slide prompts), and corresponding quizzes or assessments.
• Review: For anything that already exists—whether it’s a lesson document, a recorded lecture transcript, or a bank of quiz questions—the agent must flag factual errors, rewrite awkward phrasing, tighten learning objectives, and ensure assessment items align with the updated content.
Key requirements
• Accepts plain-text, PDF, or DOCX for input and returns clean, ready-to-upload files.
• Generates quiz items in multiple-choice and true/false formats with correct answers clearly marked.
• Provides a short change log for every edit so I can see what was modified and why.
• Integrates via API or webhook so that new or edited content pushes directly into the LMS once I approve.
• Uses established large-language-model tooling (e.g., OpenAI GPT-4 or similar) and supports future model swaps without major rework.
Deliverables
1. A working AI agent (Python, Node, or comparable stack) with setup instructions.
2. Sample output: one freshly generated module and one fully edited existing module covering text, video script, and quiz.
3. Brief user guide that shows how to trigger creation vs. review and how to read the change log.
Acceptance criteria
• Generated content matches the professional-training style and reads naturally.
• All edited materials pass Grammarly or equivalent checks with no critical issues.
• Quiz questions align 1-to-1 with learning objectives and score at least 0.8 on Bloom’s taxonomy relevance (you may use an automated check).
If you can demonstrate a previous content-creation or auditing agent, mention it so I can gauge fit quickly.
Scope
• Creation: When I drop in a simple outline or a few bullet points, the agent should expand them into full text lessons, video lecture scripts (with slide prompts), and corresponding quizzes or assessments.
• Review: For anything that already exists—whether it’s a lesson document, a recorded lecture transcript, or a bank of quiz questions—the agent must flag factual errors, rewrite awkward phrasing, tighten learning objectives, and ensure assessment items align with the updated content.
Key requirements
• Accepts plain-text, PDF, or DOCX for input and returns clean, ready-to-upload files.
• Generates quiz items in multiple-choice and true/false formats with correct answers clearly marked.
• Provides a short change log for every edit so I can see what was modified and why.
• Integrates via API or webhook so that new or edited content pushes directly into the LMS once I approve.
• Uses established large-language-model tooling (e.g., OpenAI GPT-4 or similar) and supports future model swaps without major rework.
Deliverables
1. A working AI agent (Python, Node, or comparable stack) with setup instructions.
2. Sample output: one freshly generated module and one fully edited existing module covering text, video script, and quiz.
3. Brief user guide that shows how to trigger creation vs. review and how to read the change log.
Acceptance criteria
• Generated content matches the professional-training style and reads naturally.
• All edited materials pass Grammarly or equivalent checks with no critical issues.
• Quiz questions align 1-to-1 with learning objectives and score at least 0.8 on Bloom’s taxonomy relevance (you may use an automated check).
If you can demonstrate a previous content-creation or auditing agent, mention it so I can gauge fit quickly.