📍 St. George, UT ↔ Dallas, TX | 🤖 Agentic systems builder | 🚀 Founder @ Ruska AI

Deep in agent orchestration mode — building production-grade AI systems that don’t just chat, but run, coordinate, and ship.
Focused on turning LLMs into durable infrastructure instead of demos.

Agent-native software infrastructure for real businesses.

Ruska is an opinionated platform for:

• Multi-agent orchestration (LangGraph, DeepAgents, MCP, A2A)
• Persistent state & filesystem-backed context
• Sub-agents you can spin up, tear down, and route across tools
• One system → many surfaces: Web, IDE, CLI, TUI, Slack, CI

🌐 https://ruska.ai
📺 Building in public on YouTube, Twitch, and LinkedIn.

• 🎼 Orchestra – Multi-agent orchestration engine with checkpoints, queues, and tool routing
• 🧑‍✈️ DeepAgents Harness – Long-running agents that can delegate, pause, and resume work
• 🖥️ Agent Chat UI – Self-hosted, auth-ready agent interface (LangGraph-native)
• 🧰 Ruska CLI – Manage agents, prompts, tasks, and state from your terminal
• 🗂️ Persistent Context Layer – File-system + DB backed memory for agents that outlive sessions
• 🔌 MCP Servers & Bridges – Claude Code, Codex, tools, and agents talking to each other

• Agent Frameworks: LangGraph, LangChain, DeepAgents, MCP
• Backend: FastAPI, TaskIQ, Redis, Postgres, Supabase
• Infra: Docker, AWS, Bedrock, Cloudflare, Netlify
• Models: Claude, GPT-4.x, Gemini, local & hosted LLMs
• Dev Ergonomics: CLIs, TUIs, streaming APIs, checkpointing, resumability

I care a lot about:

• Deterministic agent behavior
• Observability over “vibes”
• Systems that survive restarts, crashes, and humans

• 🎥 Prompt Engineers AI – Nightly stream building agents in public
• 👥 Plano Prompt Engineers – 1,000+ member AI builder community
• ✍️ Writing about:
  • Agent orchestration
  • Production LLM systems
  • Building leverage as a solo / small-team engineer
• 🧠 Teaching devs how to stop prompting and start architecting

• Shipping Ruska as a unified agent control plane
• Designing IaC for agents (spin up, edit, destroy, rehydrate)
• Hardening long-running agents with queues + checkpoints
• Exploring agent → agent → agent workflows at scale
• Helping teams replace brittle SaaS workflows with AI-native systems

“Always look for two confirmations.”

• Agents should be auditable, not magical
• Shipping > theorizing
• AI is leverage, not a replacement for taste
• Build systems that work at 2am when nobody’s watching