Give Deep Research Your Sources and Boundaries

A briefing pattern for Deep Research: before it runs, tell it which sources to trust or avoid, the exact scope (timeframe, region, what's excluded), and the shape of the report you want back.

Deep Research runs for many minutes across dozens of sources, so a vague brief wastes a long, expensive run and returns a sprawling report that misses your intent. Naming preferred sources, hard boundaries, and an output structure focuses that effort — you get a scoped, well-organised report instead of an undirected survey.

Any substantial research task: market scans, literature reviews, competitive analysis, due diligence — anything where you'll act on the findings.

Quick factual questions a normal web search answers in seconds — spinning up Deep Research for those wastes minutes for no gain.

Research question: <precise question>.
Scope: <timeframe, region, what to include/exclude>.
Sources: prefer <types/domains>, avoid <types>. Flag anything you can't corroborate.
Output: <sections you want>, roughly <length>, with citations.

Scoping a report to 'EU regulations, 2023 onward, exclude vendor blogs, prefer primary legal texts' returns a tight, citable brief instead of a mixed bag padded with marketing pages.

Ask it to open with a one-paragraph answer and a confidence note, then the detail — so you get the conclusion first and can decide how deep to read.

• Firing off a one-line question and getting an unfocused, overlong report.
• Not excluding low-quality source types, so marketing content dilutes the findings.
• Skipping the output shape, then having to reorganise the result yourself.