RESEARCH · Deep Research
Podcast & Long-Video Claim Extraction & Multi-Source Fact-Checking Agent (from ai-engineering-hub)
Guests on podcasts and video essays love dropping bold statistics and "Stanford study" claims. Using the Fact-Checker workflow from open-source ai-engineering-hub, extract verifiable factual assertions from transcripts and cross-verify them against primary sources.
CORE TOOLS
Perplexity / Metaso AI Search / DeepSeek Web Search
BEST FOR
Content creators, journalists, researchers, critical thinkers
REQUIREMENTS
Web-search-enabled AI (Perplexity, DeepSeek with Search, or Claude with Search)
✦ WHY THIS WORKFLOW
Confident speakers often mix solid insights with half-remembered stats or overhyped animal studies. Running a systematic claim-extraction audit separates hard truth from persuasive storytelling.
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Interactive Workflow Animation Preview
Step-by-Step Action Checklist
0 / 4 Completed
READY-TO-USE PROMPT TEMPLATE
Execute the **Claim Extraction & Fact-Checking Workflow** (from `ai-engineering-hub`) with web search enabled on the transcript/article below: [Paste transcript or draft] Produce a **Forensic Fact-Check Audit**: 1) [Claim Extraction]: Isolate all verifiable factual assertions (statistics, cited studies, historical events, financial figures) while ignoring purely subjective opinions; 2) [Verification Matrix]: For each claim, output `Original Claim`, `Verdict (✅ True / ⚠️ Cherry-Picked / ❌ False or Misquoted)`, and `Primary Source Evidence` (study sample size, year, or official filing); 3) [Logical Fallacy Spotter]: Flag correlation-vs-causation leaps, mouse-study extrapolations or survivorship bias.