Supporting
HypothesisSecurity through obscurity fails; transparent systems improve faster under public review.
[01] sources

Prism is an AI research agent that explores the web, discovers diverse perspectives, retrieves supporting evidence, and recommends the strongest arguments.
Prism is an AI research agent that explores the web, discovers diverse perspectives, retrieves supporting evidence, and recommends the strongest arguments.
Analysis preview
Live claim from the knowledge base — research agent not run in this build.
Security through obscurity fails; transparent systems improve faster under public review.
[01] sources
Irreversible release of weights removes the ability to patch misuse pathways.
[01] sources
Open weights accelerate research and competition; closed weights concentrate capability and reduce some misuse vectors.
[02] sources
How it works
Spectrum stages map the research process—from hypothesis to verified insight—without hiding the trail.
01
Submit a claim or question. Prism treats it as a hypothesis to test—not a prompt to flatter.
02
The agent searches the web across viewpoints, collecting citations, related debates, and primary evidence.
03
Raw information is refracted into supporting, opposing, and neutral threads with transparent reasoning.
04
You see the strongest arguments on each side—evidence first—before deciding what you believe.
Features
Every claim is explored from supporting and opposing angles before synthesis.
Sources stay attached to claims so you can inspect the trail, not just the summary.
Prism surfaces how conclusions were formed—no black-box “trust me” answers.
Watch research stages unfold: hypothesis, discovery, synthesis, and verification.
Domain tags and metadata keep complex threads scannable during deep reading.
Powers balanced debate cards with curated arguments for and against each claim.