Greenlines and GPTs: Building Guardrails, Not Speed Bumps
summary
Demonstrates a workflow that turns an accessibility checklist into a custom GPT that reviews storyboards and PowerPoints, using ChatGPT (paid) to write prompts, upload PDFs and return a 1–5 score per criterion with actionable fixes and test steps. Highlights common failures — missing alt text, poor color contrast, no captions/autoplay video, absent keyboard focus/navigation — and cites 36 million identify disability and 87% fail basic accessibility as why this matters; the demo GPT WagMe maybe scored 2/5.
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chapters (15)
- 0:00Introduction
- 1:27Accessibility beyond compliance
- 4:41Accessibility misconceptions in L&D
- 7:52Disability scale and learning impact
- 10:20Accessibility failures in corporate learning
- 15:17Accessibility standards framework
- 15:59GPT for accessibility audits
- 24:07Refining GPT prompts
- 30:50Improving GPT accuracy
- 37:22Top accessibility criteria for GPT
- 40:16Final GPT prompt
- 45:07Building and testing GPT
- 47:18Accessibility GPT WagMe
- 49:27Q&A on GPTs and policies
- 56:13Closing remarks
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