Deep Research
How to read a deep research report like an expert
A practical checklist for anyone who relies on AI-generated research: what to check first, and what never to take on trust.
Denis Ojua, Founder & CEO
/2 min read
AI research reports are now a normal part of how many teams gather information. They are fast, well structured and often genuinely useful. They are also easy to over-trust. Here is how experienced researchers read them.
Start with the question, not the answer
Before reading the findings, reread the question the agent was given. Many weak reports are accurate answers to a slightly different question. If the scope drifted, everything after it answers the wrong thing.
Trace the claims that matter most
Most reports rest on a handful of key claims. Find them and trace each one to its source. Read the passage, not just the title or summary. Ask whether the source actually says this, in this context, with this level of certainty.
Look at the sources as a set
- Are they the sources a specialist in this field would trust?
- Are they recent enough for the question?
- Do they include work that disagrees, or only work that agrees?
- Is one source doing most of the work while appearing to be many?
The most important thing in a research report is often what it does not say.
Notice the confidence
Watch for language that is more certain than the evidence: “proves”, “clearly shows”, “it is well established”. Strong claims need strong support. When the evidence is mixed, a good report says so.
Decide what you will verify yourself
No one can check everything. Decide in advance which claims would change your decision if they were wrong, and verify those yourself or with a specialist. Treat the rest as useful background.
When to bring in a specialist
Some questions are too important, or too technical, for a general reader to verify. Bring in someone who knows the field when the report will inform a decision that is costly to reverse, when the sources are technical enough that a summary can easily distort them, or when the conclusion surprises you.
A surprising conclusion is sometimes a real insight. More often, it is a sign that something was misread along the way.
Used this way, research agents become what they are best at: a fast, wide first read that a person with real expertise turns into something they can stand behind.
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