Linkup is built for web search and research workflows in AI products. Strawberry helps a team turn a query, a set of results, and the surrounding decision context into a research pass people can check.
Use it to define the question, review source coverage, turn findings into a cited brief, and distinguish the evidence returned by search from the decision someone still needs to make.
01
Make the research question precise before asking the web.
A broad query can return a plausible answer without resolving the decision behind it.
Strawberry can help turn the business question into a search brief with required facts, time horizon, exclusions, and the source standard the result must meet.
02
Keep the source trail attached to the conclusion.
A sourced answer is more useful when the reader can tell which URL supports which claim.
Strawberry can structure the Linkup material into an evidence table rather than flattening result snippets into an uncited summary.
03
Compare research outputs instead of trusting the first fluent answer.
Different queries, modes, or source sets can produce different pictures of the same topic.
Strawberry can read the outputs you select, identify conflicts, and propose the next primary source to inspect without pretending the disagreement has disappeared.
04
Run a useful watch only at the cadence the topic deserves.
A Linkup research skill can preserve the exact market questions and source-quality checks behind a watchlist. A Monday morning routine is useful for a weekly market scan; a product launch or regulatory topic may require a tighter, explicitly chosen cadence instead.
Linkup Strawberry