Every feature is designed to catch the mistakes that single AI models confidently make.
Enable any combination for your question.
3+ models from different providers (OpenAI, Anthropic, Google) answer independently, then critique
each other. Catches blind spots any single model would miss.
Q: "Is coffee healthy?"
Model A: "Yes, antioxidants..."
Model B:
"Depends on amount..."
Model C: "Consider anxiety effects..."
= Balanced synthesis covers all
angles
Extracts every factual claim from the final answer, checks each against sources using
Chain-of-Verification (CoVe), and shows a confidence score. You see exactly which claims are
verified.
Claim: "Python was created in 1991"
Source check: Wikipedia confirms
1991 ✅
Claim: "70% of developers use Python"
Source check: Actual figure is 48%
❌ corrected
One council member is assigned to actively challenge the group consensus. Prevents groupthink and
ensures controversial topics get both sides represented.
Q: "Should we adopt microservices?"
2 models: "Yes,
scalability..."
Devil's Advocate: "Monolith is simpler for teams under 10, deployment complexity
increases 3x..."
= Synthesis includes real trade-offs
Compares model responses semantically. If they fundamentally disagree, you get a warning that the
topic is contested — not a false sense of certainty.
Q: "Will AI replace programmers?"
Model A: "Yes, within 5
years"
Model B: "No, it augments"
⚠ Warning: "Models diverge significantly. This topic
is actively debated."
Based on Stanford's STORM methodology. Generates multi-perspective research questions, conducts
expert interviews across models, and produces a structured report with executive summary, findings,
and limitations.
Q: "Impact of AI on healthcare"
Output: 2,000+ word report
with:
• Executive Summary
• Methodology (3 expert perspectives)
• Key
Findings (7 sections)
• Limitations & References
Adds numbered [1][2][3] references throughout the answer, with a source list showing exactly where
each claim comes from. Know which sources support which statements.
Output: "Python is the most popular AI language [1], though Julia is
gaining traction [2]."
[1] Stack Overflow Survey 2024
[2] Nature Computational Science,
2024