Most people pick one AI tool and ask it to do the whole research job. Wrong setup.
No single tool is best at every stage. They are good at different things. I ran the same finance research task across all three and let each one do the part it is actually good at.
The workflow, by stage:
-> Perplexity: the find-and-source stage. Pull recent facts with a live citation on each one. Use it to locate the filing, the press release, the earnings date. Then open the primary source yourself. -> ChatGPT: the structure stage. Paste in your messy notes and have it organize them into a clean comps table or a question list. It shapes what you already gathered. It is not your fact source. -> Claude: the long-document stage. Feed it the full 10-K or the earnings call transcript and ask it to summarize one section at a time, with the page noted. Then draft the first pass of the memo.
The common mistake: trusting whichever tool you opened first to also be correct. The failure mode: a confident answer with no source that quietly becomes an assumption in your model.
The discipline: every figure gets a source, a page, and a date, or it gets cut. The tool drafts and extracts. You verify and decide.
Why it matters: the tool that writes fast is not the tool that checks facts. Match the tool to the stage and you stop trusting the wrong one.
Save this and run it on your next name.
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.