Designing a multi-agent due diligence app to audit online gurus and e-commerce brands
AgentVN · reddit · 2026-09-06
A Reddit poster proposes an agentic due-diligence product for auditing direct-response marketers, high-ticket course sellers, agencies and aggressively marketed e-commerce brands, seeking feedback from agent builders.
Core principle: not an AI "scam detector" (inaccurate and legally risky), but a system reporting verifiable facts and inconsistencies — e.g. "domain registered four months ago while the site claims nine years of operation" — with every finding backed by screenshots, archives, links, dates and reasoning.
Design highlights:
- Entity resolution agent: merges people, companies, domains, social accounts, ad pages, phone numbers and prior brand names into one operation, so searching a current name doesn't miss dissolved LLCs, old domains and complaints filed under a founder's legal name.
- Testimonial & review research: collects reviews across sites, Trustpilot, BBB etc., detecting signals like identical copy on unrelated sites, review clusters in narrow time windows, the same "customer" appearing across brands, and AI avatars or synthetic voices — labeled as possible matches with confidence levels, never as proof of fraud.
- Social media agent: searches Reddit, X, LinkedIn and more, distinguishing firsthand experiences, unverified accusations, affiliate promos, employee praise and competitor attacks, with direct links to sources.
The result is a multi-agent, evidence-chain-first background check system design.
Related event: Developer Proposes Multi-Agent AI Tool for Vendor Due Diligence(2 posts)→
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