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joshtol/README.md
Wild Research Logo Wild Research Logo

Architecting Autonomous AI Systems

with Precision, Scale, and Cohesion

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.


🎨 Featured Project: Emotive Engine

Emotive Engine

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-engine

🚀 Flagship Project: The Wild Research Framework

The 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.

QUEEN Logo QUEEN Logo

Core Architectural Achievement: The Queen-Drone Model

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


📈 Vision & Applications

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.


🎯 Current Focus

  • 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.

🛠️ Architectural Competencies & Tech Stack

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:

Backend & AI Go Python Node.js

DevOps & Cloud Docker Google Cloud Firestore

Frontend & Animation JavaScript TypeScript Canvas React


📁 Portfolio Highlights

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.

🤝 Let's Connect

I'm always open to discussing autonomous systems, emotional AI, and opportunities to build the future.

LinkedIn


🎭 Curious about emotional AI? — Try the Interactive Demo
🐝 Curious about swarm logic? — Check out the hidden Swarm Logic Demo


Pinned Loading

  1. caribbean-diving-guide-2025 caribbean-diving-guide-2025 Public

    An interactive, in-depth guide to Caribbean scuba diving in 2025, focusing on reef health, conservation, and eco-tourism. Developed iteratively with a proprietary agentic AI system.

    HTML

  2. emotive-engine emotive-engine Public

    Real-time particle animation engine for AI interfaces with emotion-driven motion and musical beat synchronization

    JavaScript 8