You think you need to code to use AI for research. You do not.
Not Python. Not an API. Not a single line. The thing you are missing is not engineering. It is a system.
Most non-coders open a chat window, ask one question, get one answer, and close it. No memory, no sources, no structure. That is not a workflow. That is a search bar.
Here is the no-code version, built from parts you already have:
-> A standing source list: the filings, earnings calls, and comps you trust, in one place you point AI at every time. -> A repeatable prompt: write the instructions once, save them, paste them every time. Same job, same format, every filing. -> A citation rule: every figure AI returns gets a source, a page, and a date, or you delete the line. -> A filing system: positive, negative, or unclear. "Unclear" is a real answer and goes on your follow-up list.
Why it matters: the value was never the code. It was the discipline. A repeatable process beats a clever one-off prompt every time.
What AI is not doing here: deciding what a company is worth, or what you do about it. It extracts and organizes. You own the assumptions and the call.
Save this and build your version this week.
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.