RootedAI product · AI agents
Deep Research Builder
An internal agent system that runs structured, multi-step research and returns sourced output.
The challenge
Research work that informs strategy engagements is slow, repetitive, and inconsistent between people.
The insight
Research is a workflow, not a single prompt. Quality comes from decomposition, sourcing, and review, not a bigger model.
What we built
An agent that plans a research task, gathers and cites sources, and produces a reviewable structured output.
Engineering approach
Model-agnostic orchestration, explicit step decomposition, source capture for verification, and a human review step before anything is used.
How we worked together
Built and operated in-house, and used as a reference implementation for client agent work.
What changed
Research that informs client strategy is produced consistently and can be checked against its sources.
What lasts
The orchestration pattern is reused in client agent engagements rather than rebuilt each time.
Similar problem?
Tell us what the work looks like today and we will tell you honestly whether AI is the right answer for it.
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