You can stop doing 7 analyst tasks by hand before earnings season.
No skipped reading. No guessing. Just faster prep on the parts that were always grunt work.
Here are 7 manual research steps an AI workflow can take off your plate, and the human judgment that still has to stay yours:
1. Reading a 200-page 10-K cold. AI pulls the risk factors, MD&A, and segment notes into a summary. You still verify against the filing.
2. Building a comp table from scratch. AI drafts the peer set and pulls the multiples. You sanity-check the peers and the period.
3. Transcribing earnings call tone. AI flags where guidance language changed quarter over quarter. You decide if it matters.
4. Tracking insider Form 4 filings. AI lists the transactions and dates. You read the context.
5. Reconciling GAAP vs non-GAAP bridges. AI lays out the add-backs side by side. You judge whether they are aggressive.
6. Summarizing analyst Q&A. AI clusters the recurring questions across quarters. You spot what management keeps dodging.
7. Drafting your first-pass research note. AI structures the sections. You write the thesis and own the call.
The pattern: AI removes the typing and the page-flipping. It does not remove the thinking. Anyone selling you "AI picks the winners" is selling the part that does not exist.
This is educational only. No buy, sell, or hold. No targets. Do your own work on every number.
Want the full 7-step prompt sequence we use for a 10-K? Comment TEARDOWN and we will send it.