BIS
A confident answer is not the same as a verified answer
AI can produce clear language even when the underlying claim needs checking. A stronger research habit is to decide what evidence you need before asking for a polished conclusion.
Question → sources → evidence → synthesis → verification
Start with a precise question. Gather authoritative sources. Note what each source actually supports. Only then ask AI to compare, summarize or draft from that evidence.
Use a bounded notebook when the source set matters
Google Gemini Notebook can work from sources you choose and returns inline citations back to those sources. It supports documents, websites, public YouTube videos with captions, audio and other supported source types.
Can you explain the last idea in your own words without looking back?
Build a three-source evidence map
Pick one real question. Add three relevant sources. Write one sentence describing what each source supports. Then ask AI for the points where the sources agree, disagree or leave gaps.
Good AI research is partly a provenance problem
If you can trace an important claim back to its evidence, it becomes easier to review, correct and update. The goal is not to make AI infallible; it is to make your process auditable.
Try it. Then prove it.
Practice sets and 20-question mastery checks will attach to the same Topic object when the Practice engine is connected.
See Practice Rooms