Intro: A Partnership Built on Shared Vision

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At Sprinklenet, we designed an emotionally intelligent chatbot system for AgileBrain by combining retrieval‑augmented generation (RAG) with their advanced emotion measurement technology. This case exemplifies how we move beyond narrow AI solutions—using discovery‑driven advisory to integrate RAG into client ecosystems, enabling context‑aware, empathic conversational AI that drives engagement and insight.

You’ll hear directly from:

• Jamie Thompson (Sprinklenet CEO and AI strategist)
• John Penrose (CEO of AgileBrain)
• Dr. Bill Nolen (Chief Scientist, AgileBrain)

Together, we walk through the strategic and technical decisions that shaped this emotionally attuned chatbot system — one that transforms static mental health scores into dynamic, human-centered interactions.

Discovery & Strategic Planning

🎥 Backstory on the Sprinklenet + AgileBrain Collaboration

This clip gives a brief background on how Jamie and John reconnected through a Boston venture fund and launched a collaborative AI journey in October 2024. Within 30 days, Sprinklenet deployed a working prototype. This video sets the stage for how the partnership began and why speed + strategy matter.

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From Static Scores to Conversational AI

🎥 Turning Wellbeing Assessments Into Chatbots

Dr. Bill Nolen explains the challenge: wellbeing data is deeply nuanced — with over 600 quintillion possible permutations in the AgileBrain scoring system. Before AI, that insight was delivered statically.

Now, with generative AI and chat-based interfaces, participants receive dynamic, personalized responses that interpret emotional activation in real time. This clip highlights:

• Why static scores were limiting
• How generative AI adds context and meaning
• The significance of emotional intelligence in AI design

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Architecting a Scalable, Safe System

🎥 Sprinklenet’s AI Architecture and Guardrails

This 6-minute segment breaks down the technical foundations that made it all possible:

• Sprinklenet designed a Retrieval-Augmented Generation (RAG) system built on AgileBrain’s research corpus
• Integrated with OpenAI APIs for LLM response generation
• Each chatbot is governed by custom personality guardrails to ensure safety and compliance
• The architecture was designed to scale — with API extensibility and future embedding into other platforms in mind

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🎥 Live Demo: Chatbot Integration in Action

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Why This Matters

This project exemplifies what Sprinklenet brings to the table:

• Strategic AI planning with long-term vision
• Fast prototype delivery
• Deep integration of subject matter expertise and safety
• Technical scalability with a strong architecture foundation

Whether you’re in mental health, compliance, education, or another high-impact domain — this is how emotionally aware, human-centered AI gets built.

📩 Let’s Talk

Curious how this could apply to your organization?
Let’s explore it together. Contact us.