I'm Joshua Tollette, an AI Systems Architect passionate about building the next generation of intelligent, autonomous systems.
I specialize in designing and deploying scalable, multi-agent architectures from research to production. My work focuses on creating robust, efficient AI swarms and emotionally intelligent interfaces that can solve complex problems with emergent, collaborative intelligence.
Real-time particle animation engine for AI interfaces with emotion-driven motion and musical beat synchronization
Emotive Engine is an open-source animation library that brings emotional intelligence to user interfaces through particle-based visualizations. Designed for AI assistants, chatbots, and interactive experiences, it transforms abstract emotional states into expressive visual animations.
Key Features:
- 🎭 12 Rich Emotions - Joy, calm, excited, love, focused, and more
- 🎵 Musical Time Sync - Animations sync to beats, not milliseconds
- 💫 Shape Morphing - Circle, heart, star, sun, moon with smooth transitions
- ⚡ High Performance - 60 FPS on mobile with adaptive quality
- 🔌 Framework Agnostic - Works with React, Vue, vanilla JS
- 📦 Production Ready - 336 passing tests, zero vulnerabilities
🔗 Explore the project: Emotive Engine on GitHub | Live Demo | NPM Package
npm install @joshtol/emotive-engineThe Wild Research Framework is a proprietary system for orchestrating large-scale AI swarms. As the architect, I designed the system to be highly modular, scalable, and capable of supporting thousands of concurrent agents with sub-100ms decision cycles.
At the heart of the framework is the Queen-Drone architecture, a novel approach to swarm management that enables both centralized strategy and decentralized execution. This design has allowed for:
- Massive Scalability: Simulated and deployed swarms of over 1,000 agents.
- Real-time Performance: Achieved sub-100ms decision-making cycles in complex simulations.
- Efficient Orchestration: A robust gRPC-based communication layer for high-throughput data exchange.
🔗 Explore the interactive architecture and visualizations: Wild Research Framework Overview
My work spans two critical domains of modern AI:
🎨 Emotional AI Interfaces Creating intuitive, human-centric interactions through real-time emotional visualization. Emotive Engine demonstrates how particle systems and musical timing can transform cold AI interactions into warm, engaging experiences.
👑 Autonomous AI Systems Building scalable multi-agent architectures for complex problem-solving. The Wild Research Framework shows how thousands of AI agents can coordinate seamlessly for enterprise-grade automation.
Potential Applications:
- AI Assistants & Chatbots: Emotionally responsive interfaces that feel alive
- Logistics & Supply Chain: Autonomous drone fleets for warehouse management
- Healthcare: Patient interfaces with calming, empathetic avatars
- Cybersecurity: Swarms of AI agents detecting threats in real-time
- Education: Engaging, emotionally-aware learning platforms
- Environmental Monitoring: Coordinated sensor networks for climate response
I am currently seeking opportunities to apply these technologies to real-world challenges and explore new frontiers in AI systems.
- Building Emotive Engine community and exploring applications in healthcare, education, and customer support.
- Scaling Wild Research Framework into a deployable, modular AI swarm library.
- Experimenting with swarm ethics & emergent behaviors for real‑world safety.
- Exploring cross‑domain applications of emotional AI and multi‑agent collaboration.
My expertise lies in designing and building the complete lifecycle of AI systems. My core competencies include:
- Multi‑Agent System Design & Simulation
- Real-time Animation & Particle Systems
- AI‑Driven Automation Pipelines
- Cloud‑Native Architecture & Deployment
- Bridging Simulation and Production Environments
Technologies I use:
| Project | Overview |
|---|---|
| 🎨 Emotive Engine | Open-source animation engine for emotionally intelligent AI interfaces. Musical time synchronization, 12 emotions, shape morphing. 60 FPS on mobile. Featured on emotiveengine.com |
| 👑 Wild Research Framework | Architected and visualized an interactive Queen–Drone AI swarm system. Scaled swarm simulations to 1K+ agents with sub‑100ms decision cycles. |
| 🐠 Caribbean Diving Guide 2025 | Generated a comprehensive scuba guide using a proprietary agentic AI pipeline. Automated end-to-end creation of a full travel dataset in <24 hours. |
I'm always open to discussing autonomous systems, emotional AI, and opportunities to build the future.
🎭 Curious about emotional AI? — Try the Interactive Demo
🐝 Curious about swarm logic? — Check out the hidden Swarm Logic Demo


