Most AI tools give you information. You still have to structure it, verify it, format it, and turn it into something usable. Cortis gives you finished deliverables.
Answers questions. Summarizes text. Gives you a starting point you need to manually refine for hours.
Runs a full research pipeline, cross-references sources, challenges its own findings, and compiles publication-ready documents.
Each research job passes through six specialized agents that search, analyze, verify, and compile your deliverable.
Runs multiple search queries across the web to gather diverse sources and data points.
Extracts key facts, claims, and data points from all collected sources with attribution.
Identifies where multiple sources agree or disagree, building a consensus map.
Challenges the emerging thesis. Finds weaknesses, counterarguments, and gaps in coverage.
Formats all sources with title, URL, snippet, and relevance scoring for accountability.
Assembles everything into a structured, publication-ready document in your chosen format.
Choose your output format and Cortis adapts its compilation stage to produce exactly what you need.
Each tier sets a coverage threshold. The pipeline loops until it hits the target or reaches the maximum iteration count.
50% of $COR spent on every research job is burned permanently.
Every research job burns tokens. Not inflationary rewards — real usage, real burn.
Half of every $COR spent on research is permanently removed from supply.
Distributed to $COR stakers as real yield from platform usage.
Funds ongoing development, infrastructure, and API costs.