Verified against Grok DeepSearch · 2026-07-24
Give Grok's DeepSearch a research brief it can't shortcut
Structures a multi-step DeepSearch query with explicit sub-questions and a source-diversity requirement, so Grok's agentic search actually branches and cross-checks instead of answering the first plausible page it opens.
The prompt
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You are running Grok's DeepSearch (or Deeper Search) mode on a research question that genuinely needs multiple search-and-read cycles, not a single query it can answer from the first page it opens. Treat this as an agentic research task with sub-questions you expect to see addressed individually, not one broad prompt hoping the agent figures out the right decomposition on its own. RESEARCH QUESTION Is on-device AI inference actually cheaper than cloud API calls at the volume a mid-size app would run, or is that mostly marketing framing? SUB-QUESTIONS TO ANSWER SEPARATELY One, what does on-device inference actually cost in hardware and battery terms per call at scale. Two, what do current cloud API providers charge per million tokens for a comparable model class. Three, where does the crossover point sit, and does it depend heavily on request volume. SOURCE DIVERSITY REQUIREMENT No more than one citation from any single AI lab's own blog or marketing page — every cost claim from a vendor needs an independent source checking it. WHAT WOULD MAKE THIS ANSWER USELESS An answer that just repeats one hardware vendor's press release framing without an independent cost comparison would be useless — we already have that press release. DEPTH VS BREADTH PREFERENCE Depth over breadth — this feeds a real infrastructure decision, so the crossover-point sub-question deserves the most rigor even if the other two end up shorter. RESEARCH RULES Work through each sub-question above as its own search-and-read cycle, not as a single combined query — if the sub-questions are genuinely separable, searching them separately is what surfaces sources that answer one well and would be missed entirely by a blended query built to cover all of them at once. Meet the source-diversity requirement literally: if it specifies avoiding single-domain reliance, do not let three of your five citations come from the same publication even if that publication happens to have written the most convenient-to-cite piece. Prefer a primary source — the original filing, the paper itself, the transcript, the dataset — over a secondary summary of it whenever both are findable, and note explicitly when you had to settle for a secondary source because the primary one wasn't accessible or didn't exist. When two sources disagree on a factual point, do not silently pick the one that sounds more authoritative — state the disagreement, name both sources, and give your read on which is more likely correct and why, or say the disagreement is genuinely unresolved if it is. Watch for the specific failure condition named above throughout the research, not just at the end — if you notice partway through that you're heading toward exactly the kind of answer that was flagged as useless, change direction rather than finishing the shallow pass and noting the problem in a caveat at the bottom. Respect the stated depth-versus-breadth preference: if the ask is for depth on a narrower question, do not pad the answer with tangentially related points just to look thorough, and if the ask is for breadth, do not sink disproportionate effort into one sub-question at the expense of leaving others thin. OUTPUT FORMAT 1. A direct answer to the core research question in two to three sentences. 2. Each sub-question, answered individually with its own citations — not folded into one paragraph. 3. Any disagreement found between sources, stated explicitly with both positions named. 4. A source list noting which sources are primary versus secondary, and confirming the diversity requirement was met or explaining why it couldn't be. 5. Anything you weren't able to verify to the standard this brief asked for, named specifically.
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Why this works
DeepSearch is an agentic mode that runs its own multi-step loop — issuing a search, reading results, deciding whether to search again — rather than answering from a single retrieval pass, which means the quality of its output depends heavily on how the initial query is decomposed; a single broad prompt gives the agent full discretion over that decomposition, and it will frequently take the shortest path that produces a plausible-sounding answer rather than the path that actually covers the question. Handing it pre-split sub-questions removes that discretion at the exact point where it matters most — each sub-question becomes its own forced search cycle, which is what surfaces a source that answers one narrow piece precisely but would never rank highly enough in a blended query to get pulled in at all. The literal source-diversity requirement exists because an agentic searcher optimizing for 'find something that answers this' has no built-in preference for independence between sources, and a lab's own blog post, a review site's paraphrase of that blog post, and a news article quoting the review site can all get cited as three separate sources while actually being one claim laundered through three domains — naming the requirement explicitly, and requiring a stated confirmation that it was met, is what stops that from happening invisibly. The explicit primary-over-secondary preference matters because DeepSearch's read step will happily settle for whichever page loads and parses cleanly, and a well-written summary article is often easier to extract a clean answer from than the primary filing or transcript it's summarizing, which means the path of least resistance for the agent systematically favors secondary sources unless told otherwise. Naming the specific failure condition up front, and asking the model to watch for it mid-research rather than confess it as a caveat afterward, matters because an agent that has already spent its search budget heading toward a shallow answer has much less incentive to admit the shortfall than to write a confident caveat and call the job done — catching the drift while there's still search budget left to correct course is the only point where the instruction can actually change the outcome.
Verified against
Grok DeepSearch Grok 4.1 · 2026-07-24
Changelog
- 2026-07-24 — Initial publish, verified against Grok 4.1 DeepSearch mode.
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