Research Agents
Research Agents explained
Start by turning a broad question into an assessable brief: which decision, market and time period does the work address? An agent can investigate subquestions and respond to new findings. A longer report does not necessarily provide better understanding.
Research using existing sources differs from primary research. An agent reviewing competitor websites has not interviewed customers. A generated questionnaire is not a completed field study; an interview summary replaces neither the interview nor a justified sample.
Assessment depends on connecting each claim to its supporting material. Keep company statements, independently collected data and your own conclusions distinguishable. Preserve contradictions and gaps instead of smoothing them into a confident narrative.
In Creative Engineering, AI can structure information work and create room for better questions and interpretation. We assess quality and economics through usable results, including verification effort. We take responsibility for the concept and quality.
Examples
Hypothetical application
A team compares packaging claims in retail. A research agent records statements from a defined set of product pages, with sources and dates, and flags missing substantiation. This provides material for strategy work; it does not establish which packaging consumers prefer.
Key Points
- The assignment and data access define the scope.
- Distinguish desk research from new data collection.
- Check the source against the specific claim.
- Keep unanswered questions visible.
Practical application
Define questions, source scope and output format first. Require a supporting passage for decision-relevant claims and separate observation, interpretation and recommendation. Have the result assessed before using it to justify a decision.
Useful measures
Substantiation
Decision-relevant claims with appropriate, verified supporting evidence.
Coverage
Answered subquestions and remaining gaps.
Effort to usable output
Research, verification and correction required for decision support.
Common mistakes
- Presenting a sourced assertion as an independently collected finding.
- Equating source volume with evidential strength.
- Measuring generation time alone.
Sources and context
- Anthropic: How we built our multi-agent research system
Technical example of multi-step research; its internal benchmarks are not a general forecast of results.
Frequently Asked Questions about Research Agents
The label alone does not establish that. Individual activities may be supported or automated. A credible study still needs a suitable design, appropriate data and expert interpretation.
No. Several pages may repeat the same unverified story. Relevance, independence and evidential strength matter more than the count.
When a recurring research task can be clearly specified and its result checked. Compare quality and total effort with the existing approach.
Related links
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