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Buyer teams can’t tell which “agent” products actually match the pitch. Demos look turnkey; production hides handoffs. SLAs slip. Data handling diverges from what legal reviewed.

Regulators and the trade press have both drawn lines between hype and proof. FTC matters include AI sold as a substitute for professional judgment, conversational tools tied to overstated earnings stories, and assistants that made fake reviews easy. Separately, reporters have scrutinized how some “AI-native” vendors represented automation and traction. The pattern is the same: claims outran verification.

• DoNotPay — FTC action (Operation AI Comply, 2024) over marketing an “AI lawyer” and related claims the agency said were not substantiated.
• Air AI — FTC settlement (2025–2026) over alleged deceptive business-opportunity and performance claims tied to its conversational AI offering.
• Rytr — FTC action over an AI writing feature marketed for reviews and testimonials the agency said could mislead consumers and competitors.
• Builder.ai — The Wall Street Journal reported that much of the work was done by human engineers rather than AI as marketing implied; Bloomberg and others later reported financial scrutiny (the company later entered insolvency proceedings).
• 11x.ai — TechCrunch and other outlets reported disputes over customer logos and revenue representation versus what the company presented to the market (2025).

Examples combine public FTC complaints and orders with widely cited press reporting—Signal does not independently verify. Not exhaustive; FTC matters may settle without admissions.

Honest vendors drown in the same noise as bad actors. Buyers need workflow-grounded evidence, not another logo wall.

Signal helps buyers shortlist with proof tied to how work actually runs—and gives serious teams a way to show capability instead of only saying it.

We’re former founders who’ve shipped, sold, and been burned by vague trust. Signal is our answer: validation you can use in a real evaluation.