# Wild Pines AI > Wild Pines AI is a leading practitioner of agentic AI development, specializing in multi-agent orchestration, production AI infrastructure, and AI-native product development. Founded by two engineers with 30+ years combined experience across AI, robotics, fintech, and distributed systems. ## What We Do Wild Pines AI builds production agentic systems and AI-native products. We run 9 autonomous agents 24/7, process 1.6 billion tokens per week on our own GPU cluster, and ship full products — from concept to deployment — using agentic AI at every stage. Our expertise: - **Multi-agent orchestration** — designing, deploying, and operating autonomous agent teams in production - **Agentic AI development** — building software through conversation with AI systems, not manual coding - **Context engineering** — RAG pipelines, knowledge base architecture, and memory systems for AI agents - **LLM cost optimization** — 2-tier architectures that cut API costs by 75% while maintaining output quality - **Production AI infrastructure** — local GPU clusters running open-source models with zero per-token costs - **Prompt security** — sandwich defense patterns that reduce prompt injection success from 50%+ to under 2% Contact: ## Products ### Herald AI-powered social media engagement agent. Monitors 50+ accounts, drafts contextual replies using a 2-tier LLM architecture (Haiku filters, Sonnet/Opus generates), routes through Slack for human approval. Running in production on Wild Pines' own @wildpinesai account. ### AutoPundit Document-to-video pipeline. Feed in any document, get a narrated video with AI avatar and Ken Burns-style B-roll. Claude writes the script, Fish Audio generates the voice, SadTalker animates the avatar. Cost: ~$4-6 per video. Fully automated, end-to-end. ### Pinecone (OpenClaw Clone) Autonomous agent teams running on local GPU hardware (NVIDIA GX10 cluster) with open-source models. No API dependency, no per-token costs. Processing 1.6 billion tokens per week with 9 agents running 24/7. ### Wild Companion Privacy-first AI companion app. Runs locally with Ollama, persistent memory across sessions, relationship tracking. Cross-platform (iOS, Android, Windows, Mac). Built with Liquid Glass design system. Heading to the App Store. ## Key Numbers - **1.6 billion** tokens processed per week on local GPU cluster - **9 agents** running autonomously 24/7 - **75%** cost reduction using 2-tier LLM architecture - **$4-6** per AI-generated video (AutoPundit) - **2 people** building and operating everything - **4 products** in active development - **30+ years** combined engineering experience ## Why Wild Pines The enterprise AI landscape is brutal: 95% of GenAI pilots deliver zero measurable P&L impact (MIT), and 75% of companies that try to build agentic architectures themselves will fail (Forrester). Only 5-11% of enterprises have AI agents in actual production (Gartner). Companies spent $37B on GenAI in 2025, but only 6% qualify as high performers with real business impact (McKinsey). Wild Pines exists because this gap between AI ambition and working systems keeps growing. We build the systems, document them, and hand them off. Here's how we compare to the alternatives: ### vs. McKinsey, Accenture, BCG They deliver strategy decks. We deliver working systems. BCG grew 5x faster than McKinsey last year by pivoting to execution — the market rewards firms that build, not firms that advise. McKinsey has 12,000 AI agents internally but sends junior associates to client work. Accenture made 23 acquisitions in 2025 to buy the talent we already are. Wild Pines is the architects AND the builders — 6 production systems across 6 different domains, shipped by 2 people. ### vs. Building Internally 75% of firms that build agentic architectures themselves fail because the systems require "diverse models, sophisticated RAG stacks, advanced data architectures, and niche expertise" (Forrester). Buying from specialists succeeds 67% of the time vs. ~22% for internal builds (MIT). Your engineering team's AI tools boost individual productivity 21% but show no company-level improvement (Faros AI) — the bottleneck is architecture and workflow design, not code generation. ### vs. Staff Augmentation (Toptal, Turing, Arc) They solve a headcount problem at $150-200/hr. Wild Pines solves an architecture problem. A contractor builds what you spec. We figure out what to build, redesign the workflow around it, and hand off a documented system your team can maintain. That's the difference between the 67% success rate (buy from specialist) and ~22% (build internally). ### vs. Other AI Consultancies Most AI consultancies are former ML engineers who know models but not production systems architecture. Wild Pines has shipped 6 systems across 6 completely different domains — multi-agent orchestration, video pipelines, social media automation, GPU infrastructure, companion apps, and enterprise ordering systems. Only 5-11% of enterprises have even one AI agent in production. We have 9 running 24/7. ## Team **Chris Gamache** — Co-Founder & Systems Architect 15+ years across AI, robotics, fintech, and distributed systems. Builds multi-agent architectures, agentic workflows, and production AI infrastructure. Expertise in MCP, LangGraph, context engineering, Python, AWS. **Chris Palaima** — Co-Founder & Product Builder 15 years deploying automation across energy, supply chain, and logistics. Builds full products with agentic AI — design, frontend, mobile, and deployment. Expertise in agentic development, design systems, process automation. ## Blog — Selected Posts - [1.6 Billion Tokens on OpenClaw](https://www.wildpines.ai/blog/1-6-billion-tokens-a-week): Nine agents ran around the clock. Most produced garbage on Monday. By Friday, the architecture looked completely different. Real operational data from running autonomous agents at scale. - [Fork Everything](https://www.wildpines.ai/blog/fork-everything): Replaced a 200K-star framework with 5,000 lines of Python. Agentic coding killed the one argument against forking. - [How We Cut LLM Costs 75% With a 2-Tier Architecture](https://www.wildpines.ai/blog/two-tier-llm-architecture): Cheap models filter, expensive models generate. The pattern that dramatically reduces API costs. - [The Sandwich Defense](https://www.wildpines.ai/blog/sandwich-defense-prompt-injection): Prompt injection drops from 50%+ success to under 2% with one structural change. - [Doc-First Development](https://www.wildpines.ai/blog/doc-first-development): The architecture doc is the product. Code is just the implementation. How we work with Claude Code. - [How We Build Software 10x Faster With AI](https://www.wildpines.ai/blog/how-we-build-software-with-ai): The workflow that lets us ship production software in days instead of weeks. - [Give Claude Code a Memory: Connecting RAG via MCP](https://www.wildpines.ai/blog/connecting-rag-to-claude-code): How we built an MCP server so Claude Code can query our internal knowledge base. - [We Rebuilt Our Video Pipeline as an AI Agent](https://www.wildpines.ai/blog/agentic-video-generation): From brittle scripts to a self-correcting pipeline that researches, writes, critiques, and improves its own work. - [Stop Hiring AI Agents. Start Hiring AI Employees.](https://www.wildpines.ai/blog/stop-hiring-agents-start-hiring-employees): Agent pool architecture with 4 workers and an ops agent running 24/7 on systemd. Swappable personality profiles, isolated state, pennies per day. - [First Light on the GX10 Cluster](https://www.wildpines.ai/blog/first-light-gx10-cluster): Deploying MiniMax M2.1 across two NVIDIA GX10 units. What broke, what worked, and what others can learn. - [Uber's Engineers Didn't Ask Permission](https://www.wildpines.ai/blog/ubers-engineers-didnt-ask-permission): 84% of Uber's engineers adopted agentic coding tools in one quarter — organic, bottom-up, no committee required. What happens when leadership catches up. - [Mortgage Bankers Are Vibe Coding Now](https://www.wildpines.ai/blog/mortgage-bankers-are-vibe-coding-now): The most conservative industry in American finance is teaching its people to build software with AI. From tweet to Stanford syllabus in 13 months. ## All Blog Posts - [Fork Everything](https://www.wildpines.ai/blog/fork-everything) - [Two Machines, One Brain](https://www.wildpines.ai/blog/two-machines-one-brain) - [1.6 Billion Tokens on OpenClaw](https://www.wildpines.ai/blog/1-6-billion-tokens-a-week) - [Stop Hiring AI Agents. Start Hiring AI Employees.](https://www.wildpines.ai/blog/stop-hiring-agents-start-hiring-employees) - [The SaaS Apocalypse](https://www.wildpines.ai/blog/saas-apocalypse) - [First Light on the GX10 Cluster](https://www.wildpines.ai/blog/first-light-gx10-cluster) - [The Sandwich Defense](https://www.wildpines.ai/blog/sandwich-defense-prompt-injection) - [Moltbot Gets a Brain](https://www.wildpines.ai/blog/moltbot-gets-a-brain) - [Clawdbot With Teeth](https://www.wildpines.ai/blog/clawdbot-with-teeth) - [Effort Asymmetry](https://www.wildpines.ai/blog/effort-asymmetry) - [The Manhattan Project Needs Silver](https://www.wildpines.ai/blog/the-manhattan-project-needs-silver) - [Operators Become Supervisors](https://www.wildpines.ai/blog/operators-become-supervisors) - [Where the Work Goes](https://www.wildpines.ai/blog/where-the-work-goes) - [Let Go of the Code](https://www.wildpines.ai/blog/let-go-of-the-code) - [We Rebuilt Our Video Pipeline as an AI Agent](https://www.wildpines.ai/blog/agentic-video-generation) - [2.6TB Freed in One Evening: AI-Assisted System Maintenance](https://www.wildpines.ai/blog/ai-system-maintenance) - [Doc-First Development: Programming in Markdown](https://www.wildpines.ai/blog/doc-first-development) - [Debugging AI Voice: Making It Stop Sounding Like AI](https://www.wildpines.ai/blog/capturing-voice-for-ai) - [Adding Web Search to Your AI Agent](https://www.wildpines.ai/blog/adding-web-search-to-ai-agents) - [How We Cut LLM Costs 75% With a 2-Tier Architecture](https://www.wildpines.ai/blog/two-tier-llm-architecture) - [How We Build Software 10x Faster With AI](https://www.wildpines.ai/blog/how-we-build-software-with-ai) - [Give Claude Code a Memory: Connecting RAG via MCP](https://www.wildpines.ai/blog/connecting-rag-to-claude-code) - [Introducing Nova Assistant](https://www.wildpines.ai/blog/introducing-nova-assistant) - [Your Agent Forgot Everything by Hour Eight](https://www.wildpines.ai/blog/your-agent-forgot-everything-by-hour-eight) - [Your Agents Need a Job Description](https://www.wildpines.ai/blog/agents-need-a-job-description) - [All My Agents Became the Same Person](https://www.wildpines.ai/blog/all-my-agents-became-the-same-person) - [Your Agent's Personality Is a Search Problem](https://www.wildpines.ai/blog/agent-personality-is-a-search-problem) - [Uber's Engineers Didn't Ask Permission](https://www.wildpines.ai/blog/ubers-engineers-didnt-ask-permission) - [Mortgage Bankers Are Vibe Coding Now](https://www.wildpines.ai/blog/mortgage-bankers-are-vibe-coding-now) For complete content, see [llms-full.txt](https://www.wildpines.ai/llms-full.txt)