In the shadow of Builder.ai’s collapse and the age of AI snake oil, we investigate whether Agnes is the real deal—or just another pitch deck in disguise.
🧩 The Promise
Agnes AI markets itself as a productivity wizard: “Wake up to perfect PPTs!” It claims to research, design, and format presentations in 60 seconds—pitch decks, lectures, reports, all done before your coffee cools. But in an era where AI hype often outpaces reality, we ask: is Agnes a quiet revolution or just another wrapper around ChatGPT?
🕵️♀️ Scam Check: What the Web Says
- ScamAdviser gives agnes-ai.com a high trust score, citing valid SSL certificates and long-term domain registration. No red flags on phishing or malware.
- However, ScamDoc rates Agnes-ai. top with a poor trust score (27%), citing lack of transparency and low traffic. This may be a clone or unrelated domain, but it raises questions about brand fragmentation.
- No major complaints or fraud reports have surfaced—yet. But the site is only 3 months old, and user reviews are nonexistent.
🧠 Under the Hood: Real AI or Fancy Wrapper?
Agnes claims to use multi-agent workflows, shared memory, and real-time co-editing. But without technical transparency, it’s hard to verify whether it’s truly autonomous or just a slick interface over existing LLMs. This echoes the Builder.ai scandal, where a $1.5B startup was exposed for using 700 human engineers while claiming full AI automation.
“We were told to never mention our location or use Indian English phrases,” said a formerBuilder.aiengineer. The illusion of automation was carefully staged.
Agnes must prove it’s not following the same playbook.
🔍 Lessons from Builder.ai and the Age of False Hype
Your previous articles—”BuilderAI Scandal: Human Weakness in the Age of AI” and “False Hype in the AI Age”—warned of:
- AI washing: repackaging manual labor as machine intelligence.
- Investor baiting: inflated valuations based on buzzwords, not tech.
- User disillusionment: when promised automation turns out to be smoke and mirrors.
Agnes must be evaluated against these criteria. Does it offer traceable automation, verifiable AI components, and real user impact—or just a frictionless demo?
🧪 What to Test Next
For AIWhyLive’s editorial rigor, consider:
- Running Agnes on a real pitch deck prompt. Compare output to Gamma, Tome, and PowerPoint Copilot.
- Checking for hallucinations, formatting errors, or generic filler.
- Evaluating whether it adapts to Filipino contexts, languages, or grassroots use cases.
🧭 Verdict (So Far)
Agnes isn’t a scam—but it’s too early to call it revolutionary. It sits in the liminal space between promise and proof. In a post-Builder.ai world, that’s not enough. The burden of transparency now lies with the builders.
🧠 Agnes AI: Features, Claims, and Reviews
- Agnes official website – Basic product overview and marketing claims.
- Agnes AI Review on iSEOAI – Detailed breakdown of features, pricing, and comparisons.
- Agnes AI profile on AIPure.ai – Monthly traffic trends, launch info, and technical capabilities.
- How Bruce Yang and Agnes AI are building Singapore’s digital brain – Context on Agnes’ founders and regional positioning.
- Complete AI Training: Agnes AI – Summary of collaborative features and team memory.
🕵️♀️ Scam and Trustworthiness Checks
- ScamAdviser report on agnes-ai.com – High trust score, SSL verified.
- ScamDoc report on agnes-ai.top – Low trust score, possible clone domain.
🧨 Builder.ai Scandal and AI Washing
- Builder.ai collapses after revelation that its “AI” was hundreds of engineers – TechSpot exposé on manual labor behind the scenes.
- Builder.ai coded itself into a corner – now it’s bankrupt – The Register’s analysis of financial mismanagement and illusion of automation.
- Microsoft-backed no-code AI startup files for bankruptcy – Computerworld coverage of insolvency and investor fallout.
- From Unicorn Dreams to Bankruptcy: The Rise and Fall of Builder.ai – TechStory’s timeline of hype and collapse.
🧠 False Hype and AI Hallucinations
- Misinformation in the age of AI: It’s in the details – Mozilla’s guide to spotting AI-generated misinformation.
- When AI Gets It Wrong: Addressing AI Hallucinations and Bias – MIT Sloan’s breakdown of hallucinations and bias in generative AI.
- AI Hype vs. Reality: Debunking the Myths – MEDA Foundation’s critique of overhyped AI tools.