Automate deep research with multi-step AI agents

The Problem

• Manual research takes hours or days per topic, and the process is maddeningly inefficient — open 30 browser tabs, skim articles, copy notes into a document, try to synthesize contradictory findings, and still worry you missed something important buried on page 3 of the search results.
• Information is scattered across dozens of sources — industry reports behind paywalls, academic papers, competitor websites, internal documents, Slack threads, and expert opinions on social media. No single researcher can systematically cover all relevant sources for every question.
• Research quality varies wildly depending on who does it, how much time they have, and how familiar they are with the subject matter. A junior analyst and a domain expert will produce dramatically different outputs from the same research brief.
• Research goes stale quickly in fast-moving markets but updating it is almost as time-consuming as doing it from scratch. By the time a competitive analysis is complete, new competitors have launched, existing ones have pivoted, and pricing has changed.

How It Works

1. 1Define your research questions, scope boundaries, and desired output format — structured comparison table, executive summary, annotated bibliography, or custom templates. Specify which source types to prioritize and any known high-quality sources to include.
2. 2The agent searches systematically across multiple source types: web search, academic databases, industry reports, your internal document repository, CRM notes, and any connected data sources. It follows citation chains, checks primary sources, and cross-references findings.
3. 3Findings are synthesized into a coherent analysis with full citations, confidence scores for each claim, and explicit flags where sources disagree. The agent distinguishes between well-supported conclusions, emerging trends, and speculative claims.
4. 4The finished report is delivered in your specified format, or the structured data feeds directly into your workflow — a Notion database, spreadsheet, Slack channel, or downstream application. Scheduled re-runs keep the research current with delta reports highlighting what changed.

Results

• Research that previously took days is completed in minutes with broader source coverage than any human researcher could achieve manually. The agent doesn't get tired, doesn't skip sources, and doesn't stop at 'good enough' when there's more to find.
• Consistent research methodology across all tasks ensures every output meets the same standard of thoroughness and rigor, regardless of topic or urgency. Your team can trust the process, not just the individual researcher.
• Full source attribution and citation tracking means every claim in every report can be traced back to its origin. When a stakeholder asks 'where did this number come from?', the answer is one click away — not a frantic search through browser history.
• Scheduled re-runs keep research current automatically, delivering delta reports that highlight what changed since the last analysis. Competitive landscapes, market sizing, and regulatory updates stay fresh without requiring someone to manually re-do the work.