AI · Web · 2024Live
DanAI Deep Research
An evidence-first research workspace that turns complex questions into clear, source-grounded reports.
Overview
A guided research studio built for decisions rather than long essays: it clarifies the question first, plans the evidence, collects sources and writes a report that keeps evidence, uncertainty and conclusions side by side.
The problem
General-purpose deep-research agents return long reports where it is hard to see which claims are backed by which source, what is still uncertain, and how the conclusion was reached — so the output is difficult to trust for a real decision.
Approach & key decisions
- Five visible milestones — decision question, scope, evidence plan, evidence collection, synthesis — so the user always knows where the run is and why.
- Clarifying questions are generated before any research starts, so the brief matches the decision the user actually has to make.
- Optional local knowledge base: users add their own files, web pages or saved notes as trusted context next to web sources.
- Reports keep evidence, uncertainty and conclusions in view, backed by a published methodology and source-trust policy.
- Privacy by design: no prompts, reports, credentials or API responses are cached; installable as a PWA.