What problem does it solve?
Purpose-driven deep research automates complex investigative workflows that otherwise require manual searching, cross-validation, and synthesis across many sources, saving analysts time and reducing oversight risk.
Core Features & Use Cases
- Adaptive Multi-Agent Pipeline: Orchestrates Planner, Searcher (2-pass), Deep Reader, Analyzer, Query Refiner, Red Team and Synthesizer for robust, layered analysis.
- Evidence-First Reporting: Produces a 3-layer deliverable (TL;DR, Key Insights, Full Report) with evidence chains, maturity scoring, and actionable decision guides (Go/No-Go, Opportunity Map, Strategy Brief).
- Domain-Aware, Safe Research: Domain detection, source authority tiers, freshness policies, citation rules, and mandatory disclaimers for medical/finance/legal queries enable responsible outputs.
- Use Cases: market sizing and TAM analysis, competitive due diligence, literature/systematic reviews (PRISMA), policy analysis, and technical technology research.
Quick Start
Invoke the research pipeline by saying "ds deep AI agent market analysis" to run a full purpose-driven deep research with a 3-layer report and action recommendations.