Prompts for Grok: Research, Sources, and Useful Drafts

Grok, xAI's AI assistant, has access to real-time information from X and the wider web, which makes it useful for current research and quickly scoped questions. The prompts below are designed for that strength: getting focused research summaries, source suggestions, and grounded drafts with explicit constraints on what to verify.

Like any AI assistant, Grok can state things confidently that turn out to be incomplete or wrong. These prompts are structured to make Grok flag uncertainty and suggest verification steps rather than present a smooth, unqualified answer. Tools like fenbs store your verified findings and best prompt versions so they carry across sessions.

Before you start: set up a research context

Each research session benefits from a short context note that scopes the question before you start prompting. This prevents the model from ranging into adjacent topics you did not ask about and helps anchor the answer to your actual need rather than a generic treatment of the subject.

My research question is: [question]. The context is: [one sentence on why you are researching this]. I need information about: [specific aspects]. I do not need information about: [out-of-scope topics]. Primary audience for this research: [who will use the findings].

Paste this at the start of the session. The prompts below reference this context. Keeping it current between sessions means you do not spend the opening of each conversation re-establishing what you are looking for.

Prompts for scoped research questions

Open-ended questions produce wide-ranging answers. Scoped prompts narrow the model to the specific aspect you need. This also makes the output easier to verify, because a focused answer draws on fewer sources than a broad synthesis.

Using the research context above, give me a summary of [specific topic]. Focus only on the specific aspect I listed. For any claim that could change over time or that you are uncertain about, flag it explicitly and suggest how I could verify it.

What is the current state of [topic] as of today? Summarize the key developments in the last [time period]. For each development, note whether it comes from a specific source you can name or whether it is a general synthesis. Flag anything that has been contested or that may have changed recently.

For US regulatory, legal, or financial topics, verify anything Grok tells you against the relevant official source: the FTC at ftc.gov, the SEC at sec.gov, the IRS at irs.gov. Grok can point you in the right direction, but the agency's own documentation carries the authoritative text. A summary, however accurate it sounds, can still misstate a nuance that matters in practice.

Prompts for source suggestions

Grok can suggest where to look for authoritative information, which is often more reliable than asking it to summarize that information itself. When you use it as a research starting point rather than a final source, the verification step becomes a normal part of the workflow rather than an afterthought.

For my research question, what types of primary sources would be most reliable? Name the kinds of organizations, publications, or databases I should check (for example, government agencies, academic journals, industry bodies). Do not summarize those sources for me — just point me to where to look.

I have been told that [specific claim]. Is this accurate based on what you know? If you are certain, say so and explain why. If you are uncertain, say that explicitly and suggest how I could verify it. Do not state it as fact if you cannot confirm it.

When Grok names a specific source, follow the link and read the original before citing it. A summary can simplify what the source actually says, and a simplification that misses a qualifier can lead to a wrong conclusion even when it comes from a real source. This is especially important for regulatory and legal claims, where the operative word is often in the exception clause rather than the main statement.

Prompts for structured writing from research

Once you have verified the facts you need, Grok can help structure them into a draft. The key is to supply the verified facts yourself rather than asking the model to recall them. This keeps the draft grounded in what you have confirmed rather than in what the model infers from general knowledge.

Here are the verified facts I want to include in this piece: [list your facts]. Write a [type of document] for [audience] that presents these facts in a logical order. Do not add facts beyond this list. If a transition requires additional context, ask me for it rather than generating it.

Summarize the key points from this research in [N] bullet points. Each point should be something I have confirmed, not something the model inferred. If a point is inferential, label it as such.

Keeping successful prompts and verified findings

Research projects often span multiple sessions. The second session is much more productive when you start from verified findings rather than re-running the same research prompts. Keep two kinds of records: the prompts that worked, and the facts that have been confirmed. The prompts help you start the next session efficiently; the confirmed facts help you avoid re-verifying things you already checked.

A common mistake is to treat each Grok session as self-contained and start from scratch each time. This wastes time on re-running earlier queries and loses the subtle adjustments you made to prompts that started producing better output. Even a five-minute note at the end of a session — what you confirmed, what is still uncertain, what the best prompt version was — makes the next session noticeably more efficient. Research that builds on previous sessions rather than repeating them also produces a more complete and reliable final picture of the subject.

How to do this with fenbs

1. Create a free account and set up a project for your research.
2. In Skills and prompts, save your scoped research prompt and your source-suggestion prompt as named skills.
3. In context notes, record verified findings with the source you checked. Update the note when a fact changes.
4. Connect a supported AI app from Integrations. Grok does not currently connect directly, but you can use a connected app to read your fenbs context before switching to Grok for research tasks.
5. After each Grok session, paste your verified findings into fenbs context notes and note what still needs checking.

fenbs does not connect to Grok directly. For research that stays in one session, Grok alone may be enough. fenbs adds most value when the same research project spans multiple sessions or multiple people, and when you need a consistent record of what has been confirmed versus what is still uncertain. A running log also makes it easier to hand a project off to a colleague or return to it after a break without losing the thread you built.