A clean summary feels like research. It is not.
The summary reads well, the bullets line up, nothing contradicts itself. That polish is exactly the trap. Smooth output is a writing quality. It says nothing about whether the underlying numbers are right or whether anyone checked.
A summary tells you what a document said. Research proves it, ties every claim back to a source, and then tries to break it. Those are different jobs.
What separates a summary from research:
-> Source tie-out: every figure traces to a filing, a page, and a date. No trace, not usable. -> Independent verification: re-derive the number from the primary document, do not take the model's word for it. -> Active challenge: ask what would have to be false for this to be wrong, then go look.
The common mistake: you read the clean summary, it agrees with what you already believed, and you stop. The failure mode: an unverified figure or a dropped caveat carries straight into your thesis and you never tied it out.
The disciplined version: AI builds the summary fast. You do the tie-out, the verification, and the challenge. AI summarizes. You research.
Save this and run it before you trust the next output.
Educational content only. Not investment advice, and not a recommendation to buy, sell, or hold any security. Wall Street Prompt. Always verify against the primary source.