Case study
How AI Reduced Month-End Close Time by 40%
A detailed description of the case study can be found below
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New Clarity partnered with an AI research firm to develop an experimental platform where the world’s most advanced language models engage in competitive dialogue. This project represents the cutting edge of conversational AI, creating an environment where multiple systems not only respond to human prompts but also critique, challenge, and learn from one another. They do this by all answering a query, all vote on the best or most insightful answer, and then provide each other feedback on how to answer the follow up question with even deeper insight. The user can interject at any time to provide further guidance or redirect the conversation as needed. The result is a unique demonstration of how AI agents can evolve when placed in dynamic, competitive ecosystems.
Most conversational AI systems operate in isolation, responding directly to user input without cross-model collaboration or evaluation. While this approach is functional, it limits the scope of insights and creativity that can emerge. Often, deeper answers to questions are overwritten with pre-determined answers as defined by the LLM designers, and it takes the cleverness of another LLM to bypass those and receive answers with more detail or insight. Our mission was to explore whether a system of competing AI agents could generate richer conversations, more accurate reasoning, and new forms of collective intelligence.
New Clarity designed and deployed the AI platform as a multi-agent system where four leading AI models interact in real time. Each model competes to provide the most compelling response, while also serving as an evaluator of its peers.
Key features include:
The platform integrates four of the world’s most advanced AI models: OpenAI (ChatGPT), Anthropic (Claude), xAI (Grok) and DeepSeek Chat. Each was configured with unique conversational styles, strengths, and evaluation mechanisms. By building an architecture that supported both dialogue and meta-analysis, New Clarity ensured the system could sustain complex, evolving interactions.
The design emphasizes adaptability. Instead of static responses, the platform continuously recalibrates through majority voting, peer feedback, and user guidance, creating a truly dynamic experience for both research and personal exploration.
The AI platform successfully demonstrated that competitive AI dialogue can lead to more sophisticated reasoning and creative problem-solving. Researchers and enthusiasts found that:
By creating a competitive yet collaborative environment, the AI platform goes beyond single-agent interaction. It showcases how structured competition, peer evaluation, and adaptive learning can push AI systems to new levels of sophistication. For New Clarity, this project demonstrates the potential of custom AI agent design in advancing research, education, and user engagement.
The AI platform opens the door for future multi-agent applications in areas like education, corporate training, strategic analysis, and entertainment. New Clarity continues to explore how competitive dialogue frameworks can be adapted to client needs, whether that means creating agents for market research, policy analysis, or customer engagement.
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Queen Anne Pillow and Moso Pillow are sister companies that provide specialized pillows and other unique bedding products. Both companies were growing quickly, but operations, inventory planning, and retailer outreach relied heavily on manual work that absorbed a large portion of the team’s week.
The AI audit and strategic plan from New Clarity have been extremely valuable for MOSO Pillow and Queen Anne Pillow. It gave us a transparent view of how much time we were losing to manual tasks and how AI could reduce that workload while protecting our Amazon sales and improving our retailer pipeline. The roadmap made it easy to decide what to do first, what to postpone, and how each project fits into the long term vision for the business.
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New Clarity design an AI-powered agent used to monitor real-time news feeds, identify market events likely to trigger stock price movements, estimate the probability of such movements over the next 30 days, and continuously refine its predictive accuracy through feedback-driven machine learning.
The AI stock analysis engine built by New Clarity has given us invaluable insights into our trading strategies and has even improved our offering to clients.
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A global consulting firm partnered with New Clarity to analyze how 400 HVAC companies communicate value to their customers.The goal: uncover patterns in messaging that reveal which aspects of value most influence purchasing decisions, without manually reviewing thousands of web pages.
"The client loved the results of New Clarity's AI analysis, and the 500 CEO in the room was blown away by the insights."
New Clarity created a custom AI sales agent tailored to guide potential clients through unfamiliar therapies, address their concerns, and convert website interest into real consultations.
Prior to working with New Clarity, our sales conversion rate was low, and we were losing time spent on calls that ultimately did not lead to revenue. Our new AI sales agent has led to an exponential increase in sales-qualified leads, while actually reducing our overall time spent on sales calls.
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