Senior IT leader bridging AI systems, operations, and human behavior to build what works in the real world.

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Ken Boustead • Peerlist Profile

Back in 2023 I had the absolute honor of being one of only two videographers filming a documentary in Ireland for the incredible non-profit Operation Rock the Troops: Highway Home.Their Season 5 trailer just dropped and it’s powerful. This was easily one of the most meaningful volunteer experiences of my life. That trip lit a fire in me, it inspired the poem “A Hero’s Pain” that I wrote for the book Wars Truth: Healing With Words – Poetry by Miss Amber Jane Guymer-Hosking, and it’s also what sparked the lyrics I wrote for the song “Two More Klicks” by Infinite Vibe Disorder.Take a couple minutes and check it out. Here’s the official trailer: <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.youtube.com/watch?v=7LSO25L6enE">https://www.youtube.com/watch?v=7LSO25L6enE</a>While you’re at it, grab the book here: <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://amzn.to/4eDWQij">https://amzn.to/4eDWQij</a>And give the song a spin on Spotify: <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://open.spotify.com/track/3GzsBPNF3jIjfcwDcB5gUE?si=16dbc2249c8d414e">https://open.spotify.com/track/3GzsBPNF3jIjfcwDcB5gUE?si=16dbc2249c8d414e</a>

Highway Home: Season 5 Ireland 2023

<h3>Overview</h3>BepInEx mod that adds a persistent, LLM-driven NPC companion to Valheim. The companion (default name: Sigrid) uses the lab's LiteLLM endpoint to make real-time decisions, respond to player chat in-character, manage inventory, fight enemies, eat food, and follow commands.Creators: Ken Boustead + Codie (Claude Code CLI) Started: 2026-04-07 Status: Active Development Phase 4 Complete and In Testing. ArchitectureSingle BepInEx plugin DLL targeting net471 (Unity Mono). Runs on both dedicated server and client — companion ZDO lives server-side, GameObject lives client-side.<h3>Tech Stack</h3><ul><li>Runtime: BepInEx 5.4 + HarmonyX + Jotunn 2.29.0 on Valheim (Unity 6)</li><li>LLM Backend: LiteLLM proxy &lt;SERVER_IP&gt;:4000 → Ollama &lt;SERVER_IP&gt;:11434, dual RTX 3060 12GB headless linux OS</li><li>Model: gemma4:e4b (Gemma 4 27B 4-bit) via ollama_chat/ provider with think: false</li></ul><h3>Key Files</h3>File Purposesrc/Plugin.cs BepInEx entry pointsrc/CompanionConfig.cs All BepInEx ConfigEntry definitionssrc/Companion/CompanionPrefab.cs Prefab build + ZNetScene injection + spawn/despawn RPCssrc/Companion/LLMCompanionBehaviour.cs Per-companion MonoBehaviour — AI loop, action dispatch, food system, inventory managementsrc/Companion/CompanionZDO.cs ZDO persistence (companion data + inventory serialization)src/LLM/LLMConnector.cs WebClient HTTP on ThreadPool + ConcurrentQueue drain on main threadsrc/LLM/LLMRequest.cs Request DTOs + hand-rolled ToJson()src/LLM/LLMRequestBuilder.cs Personality + game state prompt constructionsrc/LLM/GameStateBuilder.cs JSON snapshot of game state for LLM contextsrc/Commands/ChatCommandHandler.cs Chat.SendText Harmony patch for @Sigridsrc/Patches/WorldLoadPatch.cs ZNetScene.Awake postfix — prefab registration

Valheim LLM Companion - Sigrid

Boustead Framework v1.3 ©2025 Research &amp; IP — Creator: Kenneth Boustead Category: Applied AI Safety, Behavioral Alignment, Human–AI Interaction Systems A proprietary ethical interaction architecture designed for human–AI and multi-model alignment. The framework applies structured behavioral principles to improve long-form consistency, trust stability, and adaptive interaction quality across conversational and voice-based AI environments. Originally informed by leadership and team-based decision models tested in high-stakes operational settings, the framework evolved into a formal alignment methodology now undergoing controlled evaluation and refinement. Status: • Early testing indicates repeatable signal across multiple model classes • Preparing for controlled review and licensing exploration • Full methodology available only under NDA