Freaky Fast Reviews

In this walkthrough, CEO and Founder Kevin Kallmes and Chief Design Officer Jeff Johnson take Nested Knowledge from start to finish: building a complete AI-assisted literature review in a single session. Using a timely, real-world research question (what does GLP-1 receptor agonist therapy do to patients' muscle mass?) they demonstrate every stage of the platform: smart search, AI screening, structured data extraction, and traceable written insights, all completed live. Whether you're conducting a full systematic review or a rapid targeted literature review, this video shows how the end-to-end workflow can get you from a plain-language clinical question to a shareable, living evidence dashboard faster than previously possible.

What We Cover

  • Building an AI-assisted Boolean search with Smart Search
  • Criteria-based abstract and full-text screening with our Smart Screener
  • Configuring tags for qualitative and quantitative data extraction
  • Using templates and core smart tags to accelerate setup
  • Building interactive synthesis dashboards with PRISMA diagrams, maps, and sunburst visualizations
  • Generating fully traceable AI Insights from your extracted data

Our platform has been independently validated at over 85% time savings and over 90% accuracy in screening and extraction. Everything we show here is human-in-the-loop, auditable, and built to keep you in the driver's seat.

Helpful Links

  • Documentation
  • Rapid Review Guide
  • Validation Studies

Have a research question you'd like to bring to us? We'd love to hear from you.