Source extraction 27 / 50
- ✓Search across research sections
- ✓Reader extracted full text
- ✓Reranker picked the top 5
- Analyzing the next section…
A next-generation autonomous research agent with multi-stage analysis, two-tier search and full source citation.
Google-based planning builds the strategy and section structure. Autonomous deep search runs in parallel — iterative research with an initial evidence report.
Multi-source search gathers sources by section. The Reader extracts full content, the Reranker picks the top 5 most relevant.
The LLM extracts and classifies facts from all sources: confirmed, single-source, or disputed.
First a plan with target section lengths. Then sections are generated sequentially with the chosen tone and citation style.
The final stage checks overconfident claims, adds SEO metadata and assembles a full verified source list.
The agent searches, reads, fact-checks and assembles a cited report on its own — you see the whole process.
Food delivery market in Moscow
Top players and market shares
Before generation the agent builds a report outline with target section lengths — text is never written blindly.
The last stage cleans up overconfident wording, verifies citations and assembles a vetted source list.
Describe a topic — the agent decides on its own that deep analysis is needed and assembles a report with sources.