training-deck-reviewer

To run a technical accuracy QA review on a PowerPoint training deck, trigger the review process by requesting an audit of your .pptx file. The system executes a 9-phase review checking content accuracy, visuals, animations, and flow.

Yes, you can automatically check your AI/ML training deck for content gaps and errors. The process audits content accuracy via web research, analyzes technology gaps, verifies visual diagrams, and identifies factual errors in the presentation.

The PowerPoint QA process outputs both a corrected _reviewed.pptx file with applied fixes and new content, and a detailed qa-report.md document. It also generates an anticipated-qa.md file with expected questions and answers.

A 9-phase quality assurance audit for AI/ML presentations includes inventory, content accuracy checks via web research, visual verification, animation checks, gap analysis, and content flow review to ensure the deck is accurate and polished.

Yes, reviewing training decks for technical accuracy requires specific dependencies including markitdown, soffice, pdftoppm, and python-pptx to properly parse, analyze, and modify the PowerPoint files during the automated review process.

The best way to fix typos and update outdated years in a technical training deck is to use an automated QA review. It automatically corrects typos, updates years, and generates a revised deck ready for instructors.