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Every platform promises "AI feedback." This shows you what that actually means on Rigorous Reasoning: a real prompt, a real student response, and the structured feedback Claude produces — strengths, weak spots, and a concrete next step.
Step 1 — the prompt
Evaluate the argument
P1. Every swan I have observed has been white.
P2. Therefore, all swans are white.
Is this argument deductively valid? Sound? If neither, characterize what kind of inference it is and what its weakest link is.
Step 2 — a sample student answer
The argument is not deductively valid because the conclusion goes beyond the evidence — the premises don't strictly entail the conclusion. It's an inductive generalization from a sample. The weakest link is the jump from "swans I have seen" to "all swans," since the sample may not be representative: I might live in a region with only white swans.
Step 3 — instant AI feedback
Rigorous Reasoning evaluates the response against a deterministic rubric, then Claude rewrites the feedback in pedagogically grounded prose.
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