3 Ways To Use ChatGPT Right Now

ChatGPT is already useful in three practical ways: it can act as a fast research assistant, help users capture and organize answers directly into their notes, and—most importantly—force clearer thinking by pushing people to ask better questions. The payoff is speed and mental clarity, not just “getting answers,” which is why it’s starting to fit naturally into everyday workflows.

First, ChatGPT can replace the slow, multi-step grind of traditional search. Instead of bouncing between results, opening articles, deciding what to read, and then interpreting what it means, a user can ask for a specific output—like “tell me the story of Don Quixote”—and receive a concise paragraph that’s immediately usable. The transcript contrasts this with the Google workflow: choosing which source to trust, reading enough to understand it, and sometimes backtracking when the first article isn’t the right depth. In the example, ChatGPT collapses those steps into a single question and returns something “good enough” to move forward.

Second, ChatGPT’s answers can be integrated into a living knowledge system. The workflow described pairs ChatGPT with Obsidian, placing the chat on one side and the note editor on the other. That setup turns responses into copy-paste building blocks—such as adding a short explanation about which character came first (Don Quixote vs. Hamlet) into a note. The key idea is that Q&A becomes part of an evolving document: each new question produces text that can connect to other notes and support ongoing creation.

Third, ChatGPT helps users think better by making them confront what they actually care about. After receiving an initial response about Don Quixote, the user realizes the plot summary isn’t the real goal; the deeper need is understanding why the story matters. Asking a follow-up—“why should I care about Don Quixote?”—produces a more relevant answer that the user can store in a callout box inside Obsidian. This “inactive engaged thinker” dynamic matters: it’s not passive consumption, it’s iterative questioning that sharpens the user’s intent.

There’s also a hard constraint: ChatGPT is not reliably trustworthy. The transcript emphasizes that it can produce false information, a known issue, so high-stakes claims require verification. Still, for everyday research, confirmation, and additional context—especially when the user already has basic grounding—ChatGPT’s speed and usefulness can outweigh the risks.

Overall, the central message is pragmatic: use ChatGPT right now to compress research time, feed your notes with structured answers, and improve the quality of your questions—while treating outputs as drafts that must be checked when accuracy matters.