Feb 4, 2026
Why 30% of AI Research Is Wrong — And How to Fix It
A deep dive into the hallucination problem plaguing AI-generated research and how claim-level verification changes the game.
Read MoreAI-powered analyst reports with claim-level source verification. Every insight autonomously researched. Every claim traced to its source. Every assertion verified.
Traditional AI tools generate plausible-sounding research that looks authoritative — but is riddled with unsourced claims, fabricated statistics, and content-grounding failures.
AI confidently cites papers, data, and URLs that don't exist.
The source exists but doesn't actually say what the AI claims it says.
ChatGPT, Perplexity, Gemini, and Copilot have zero post-generation claim verification.
The HalluHard benchmark (2026) proved that even top models with web search hallucinate in nearly a third of high-stakes research claims.
3 of 5 claims failed verification
Three integrated systems that go from your question to a verified intelligence report — automatically.
Multi-agent AI researchers investigate across academic, financial, regulatory, and technical sources. Multiple iterations with automatic gap detection. Research continues until saturation — not after one search pass.
Every factual claim is extracted, traced to its cited source, and verified through a three-stage pipeline: Relevance — is the source about the same topic? Support — does it actually back the claim? Fidelity — does the claim accurately represent the source?
Verification outcomes and user feedback feed back into the system nightly. Domain-specific thresholds calibrate automatically. Knowledge patterns compound over time. Every report makes the next one better.
Every claim in a PromptReports deliverable links to its source with a verification score. Click a claim below to see exactly how it works.
"The global observability market is expected to grow from $41B in 2025 to $64B by 2028, representing a 15.8% CAGR driven by cloud-native adoption and increasing infrastructure complexity."
VS = (Source Quality × 0.25) + (Grounding × 0.35) + (Fidelity × 0.25) + (Corroboration × 0.15) = 0.94Type your research question in natural language. Select your domain and depth level.
Specialist AI agents — academic, market, regulatory, technical, contrarian — research in parallel across multiple iterations until source saturation.
Claims are extracted, traced to sources, and verified through the three-stage pipeline. Failed claims trigger automatic re-research.
Analyst-grade report with click-through source verification on every claim. Export as PDF or DOCX.
Type your research question in natural language. Select your domain and depth level.
Specialist AI agents — academic, market, regulatory, technical, contrarian — research in parallel across multiple iterations until source saturation.
Claims are extracted, traced to sources, and verified through the three-stage pipeline. Failed claims trigger automatic re-research.
Analyst-grade report with click-through source verification on every claim. Export as PDF or DOCX.
From research question to verified report to marketplace revenue — everything built around claim-level verification.
Generate analyst-grade research reports with automatic claim extraction and source verification. Every assertion traced and checked.
Generate Report →Monitor verification scores across all your reports. Click any claim to see the source, the excerpt, and the three-stage verification breakdown.
View Dashboard →Buy verified intelligence from expert researchers or sell your own reports. Verification badges command premium prices.
Browse Marketplace →Every verification outcome feeds back into the system. Domain thresholds recalibrate nightly. Reports generated today are more accurate than last month.
See How It Works →Iterative until saturation
Human analysts ($$$)
Single-pass RAG
Template-driven
3-stage automated pipeline
Trust reputation
No verification
None
Every claim linked to source
Footnotes
Inline links, unverified
None
Gets smarter nightly
Static methodology
Quarterly model updates
Static
Buy & sell verified reports
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Transparent, automated daily testing of leading AI models across 50+ curated prompts spanning knowledge, reasoning, math, coding, and more.
Factual accuracy & recall
Logic & problem-solving
Numerical computation
Code generation & debugging
Make informed decisions about which AI model to use. No hidden agendas.
Avg Verification Score
Claims Verified Per Report
Sources Evaluated Per Deep Report
AI Benchmarks Updated
See what's trending. Get the intelligence that matters.
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Feb 4, 2026
A deep dive into the hallucination problem plaguing AI-generated research and how claim-level verification changes the game.
Read MoreJan 28, 2026
Understanding the three-stage verification pipeline and why source fidelity matters for high-stakes decisions.
Read MoreJan 15, 2026
A case study on using daily benchmark data to optimize AI model selection for different research domains.
Read MoreGenerate your first verified intelligence report in minutes. Every claim traced. Every source verified.
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