Rusty Williamson

Business Automation Architect | AI Agents & Integrations

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Little Rock, USA

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Little Rock, USA

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Stop building science experiments and start building scalable, autonomous operational systems. I just published a detailed look under the hood at my most sophisticated AI integration yet: The Hierarchical Multi-Agent Business System. Most founders use ChatGPT to write emails. I build AI agent teams to source leads, design technical architectures, manage client-facing dashboards, and automate complex content pipelines—all with zero human input for everything except final approval. Take a look at the attached infographic to see how this recursive, self-optimizing architecture functions. Here is the operational impact of what I build: Departmental Specialization: I don't use one "smart" agent. I build a crew of highly specialized agents (Lead Gen, Content, DevOps) overseen by a Manager Agent to ensure quality and prevent hallucinations. The Human-in-the-Loop Safeguard: The entire workflow is designed to be fully autonomous until final quality control and strategic approval. You get the scale of AI with the certainty of a human final check. Tool Agnosticism: My builds are logic-first. We use the best tool for the task, whether that's CrewAI, LangGraph, Supabase, Cloudflare, OpenAI, or a custom API. If you are a founder or operator ready to turn your standard business workflows into high-performance, autonomous engines, check out the full case study. https://contra.com/s/2rFLgNAU-custom-ai-agent-for-your-business-workflow

21-Year Operations Overhaul: From Chaos to Clarity

AI Possession Kits for Live Haunted Attractions

E-Commerce Ops Hub: Unified & Automated

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Building Tether — From Noisy Telemetry to Deterministic Operations Role: Lead Architect & Full-Stack Developer Tech Stack: React, Cloudflare (Pages, Workers, R2, Zero Trust), Google Cloud Platform (Cloud Run, Cloud Storage), Python, FastAPI, Scikit-Learn. The Challenge: The Hospitality Data Gap Modern hospitality operators are drowning in data but starving for actionable intelligence. A restaurant's two most critical systems—the Point of Sale (revenue) and the scheduling platform (labor)—operate in complete isolation. Because these systems do not dynamically communicate, managers are forced to make high-stakes labor cuts on the fly based on delayed reporting and gut feeling. This disconnect results in thousands of dollars of weekly margin bleed. The challenge was clear: build a system that bridges these fragmented APIs, normalizes the data, and provides real-time operational certainty. The Solution & The Product Pivot I engineered Tether to be an AI-native operational layer for restaurant management. However, the true breakthrough of this project wasn't just technical—it was architectural. Initially, I designed Tether as a "Live Data Prediction Tool" that used active telemetry to drive real-time floor decisions. Through testing and auditing the data streams, I identified a critical UX flaw: live data is inherently noisy and reactive. To solve this, I executed a complete priority inversion, refactoring the application state to a "Schedule-First" philosophy. Instead of chasing live data, Tether now ingests historical data to generate a deterministic, highly optimized 14-day schedule baseline. The machine learning models were strategically demoted from "decision makers" to "real-time guardrails." Once the floor opens, Tether acts as a safety net, validating execution against the baseline and alerting managers to profit leaks before they compound. Technical Execution: A Masterclass in Edge ML To ensure security, scale, and sub-100ms latency, I architected Tether as a zero-backend Single Page Application (SPA) driven by serverless microservices. Edge Infrastructure & Security: The frontend is deployed via Cloudflare Pages and secured behind a Cloudflare Zero Trust perimeter, requiring One-Time PIN (OTP) authentication for operator access. Data Normalization: I developed Cloudflare Worker proxies to securely handle OAuth handshakes, ingest data from POS systems (Square, Toast) and labor platforms (7shifts), and normalize the varied streams into a unified, sanitized client schema. Autonomous ML Pipeline: I engineered a fully autonomous, serverless retraining loop hosted on Google Cloud Run. Every Tuesday at 3:00 AM UTC, the pipeline wakes up, pulls historical telemetry from Cloudflare R2, and retrains the primary Approval and Labor-to-Sales (LTS) models (using Ridge and Logistic Regression). Strict Data Contracts: The ML pipeline strictly enforces a 63-feature data contract. It validates baseline accuracy and ensures zero NaNs before allowing any model to pass into production, guaranteeing operational stability. Highly Optimized Model Distribution: Fresh model weights are served to the browser via a Dockerized FastAPI microservice (kept aggressively lean at ~500MB) and distributed globally through Google Cloud Storage (GCS). The Business Impact Tether replaces the anxiety of restaurant management with mathematical certainty. By automating the schedule generation and monitoring real-time Labor-to-Sales (LTS) velocity, Tether catches margin bleed live—such as a sudden drop in patio sales pace due to weather. It translates complex ML predictions into simple, actionable alerts (e.g., "Trim one support role. Protects $190 margin."). The result is protected daily profit margins, guaranteed labor compliance, and management teams empowered to run their floors with absolute confidence.

Tether is a custom middleware solution engineered to eradicate one of hospitality's most expensive bottlenecks: the gap between legacy POS systems and labor scheduling. By leveraging Make.com (http://Make.com) for high-frequency API polling, Tether automatically cross-references live sales data with time punches and maps it into a unified, real-time dashboard. Zero manual reporting, zero data silos—just instant visibility into labor-to-sales ratios.

Automated Inventory & Procurement System for Roofing Co

AI-Powered Affiliate Review Engine for SaaS Site

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Architected an autonomous AI pipeline that ingests product links, conducts SEO research, and generates publish-ready affiliate reviews with zero manual writing.

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I design and

Business Automation Specialist I design and build fully automated business systems that eliminate manual work, reduce errors, and help companies scale faster without increasing overhead. From lead capture to final reporting, I connect your tools into one seamless workflow using automation platforms, APIs, and custom logic. What I Do I turn scattered processes into clean, reliable systems: Capture and route leads instantly Automate follow-ups via email and SMS Build and manage CRM pipelines Sync data across platforms in real-time Create dashboards for clear, actionable insights Systems I Build Lead Capture → CRM → Notifications Sales Pipelines with automated stage progression Follow-up engines that engage prospects automatically End-to-end workflows from first click to closed deal Real-time reporting dashboards The Result No more manual data entry No more missed leads No more inconsistent follow-ups Faster response times Scalable, reliable operations My Approach Every system I build is designed to be: Simple – easy to use and maintain Reliable – runs without constant oversight Scalable – grows with your business Bottom Line I don’t just automate tasks… I build systems that run your business for you.