Lesson 1139 of 1455
Policy Debate Evidence: How AI Cuts Cards Without Losing on Topicality
NSDA debate cards have to be source-verifiable — AI can cut and tag, but only if you keep the original PDFs.
Builders · Research & Analysis · ~4 min read
The big idea
Card-cutting is the unglamorous half of policy debate. AI can do it 5x faster — but the second a judge can't find your tag in the original article, the card dies.
Some examples
- Prompt Claude: 'Cut a card from this article, tag = warming causes extinction'
- Ask ChatGPT to find the qualifications block for the author
- Have AI generate the 'cite' header in the format your league uses
- Use Claude to turn a 30-page policy paper into a 200-word card
Try it!
Pick one article you've been meaning to read for next tournament. Have Claude cut three cards from it. Verify each tag in the original before adding to your file.
Key terms in this lesson
Practice this safely
Try this with a school, hobby, or family example where the stakes are low. Use the AI output as a draft you can question, not as the final answer.
- 1Ask AI to explain policy debate in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "Policy Debate Evidence: How AI Cuts Cards Without Losing on Topicality" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check NSDA against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
8 questions · Score saves to your progress.
Lesson help
Questions are best handled with a grown-up here.
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