Proof of Usefulness Report

Resonant AI Ltd.

Analysis completed on 3/11/2026

-57

Proof of Usefulness Score

Lab Mode

Project ECHO proposes an interesting academic inquiry into conversational AI and parasympathetic emotional responses. However, the submission includes severe red flags: completely unsupported and wildly exaggerated claims such as 'most people have used my product', vague audience metrics ('everyone'), and nonsensical financial figures ('all time marketcap: 500000'). Because there is no credible evidence of traction and the technical details are omitted, the project triggers significant penalty reductions, bringing the overall score well below zero in alignment with the 'red flags' calibration criteria.

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Score Breakdown

Real World Utility+50

Audience Reach Impact-50

Technical Innovation+7.5

Evidence Of Traction-100

Market Timing Relevance+30

Functional Completeness+2.5

Subtotal-60

Usefulness Multiplierx0.95

Final Score-57

Project Details

Project URL

resonantai.uk

Description

An experimental research project into how conversational AI style influences behaviour — designed for academic and industry collaboration. Project ECHO is studying how variations in chatbot style and phrasing may shape user trust, compliance, experience and decision-making. Our intent is to isolate conversational style from content and trace its effects. Our focus extends beyond user experience to how subtle cues in conversational AI might activate parasympathetic emotional responses — the calm, trust-building side of the nervous system — shaping how people process choices. We are exploring the links between style, behaviour and implied brain chemistry.

Algorithm Insights

Market Position

Early stage requiring focused development

User Engagement

Documented reach suggests active user community

Technical Stack

Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline