Ray Butler
I design how systems behave.
What I actually deliver
- Human–agent interactions that earn trust through behavior.
- RAG systems on the thin slices of real data you actually have.
- AI risk + ROI reads before the spend, so decisions sit on evidence.
- Agentic POCs — working prototypes in days, ready to pressure-test.
- Shipped AI use cases that move real customer outcomes.
Toolbox
Human Skills
Agent Skills
Modular capabilities I build for Claude. Each packages instructions, metadata, and optional resources (scripts, templates) the model loads automatically when the work calls for it.
Research
Interview Analysis
Turns raw user-interview and research sessions into themes, pain points, and JTBD statements.
Bundlesclustering script · affinity-map template
Competitive Intelligence
Tracks competitor releases and UX patterns and rolls them into SWOT and trend views.
BundlesSWOT template · trend-dashboard scaffold
Persona Intelligence
Keeps personas current — updating them from new research and flagging behavior shifts.
Bundlespersona template · archetype generator
Strategy
Problem Framing
Reframes requests, surfaces root causes, and challenges assumptions into sharper problem statements.
Bundlesopportunity-brief template · challenge-framing prompt
Jobs-To-Be-Done
Extracts jobs and forces of progress and maps them to the outcomes people are reaching for.
BundlesJTBD-map template · outcome-roadmap scaffold
Systems Mapping
Identifies actors, dependencies, and bottlenecks and models them as blueprints and system maps.
Bundlesservice-blueprint template · system-map scaffold
Micro Apps
Small apps I build to work with my agents faster: capture input, brief them, monitor runs, and review what they produce.
Agent Console
One place to brief any agent in plain language and get structured results back.
Capture Inbox
Drop in notes, transcripts, or links and route them to the right agent automatically.
Run Dashboard
Watch active agent runs, their status, and cost at a glance.
Review Queue
Approve, edit, or reject agent outputs without leaving the flow.
Selected AI Systems
Low Ox Life
Consumer iOS app — live in the App Store
Shipped
- Designed, built, and shipped to the App Store end-to-end — free, with in-app upgrades.
- Free Harvard 2023 Oxalate Table; paid tier adds food logging, journal history, and cloud sync.
PlanFlow
AI-Assisted Plan Review System
Active Development
Python, LangChain, vector search
- Designed and implemented a RAG-based validation workflow using structured document ingestion and retrieval logic.
- Implemented evaluation logic using TP, FP, FN tradeoffs to simulate real-world decision outcomes.
Multi-Agent Workflow System
CrewAI / LangChain — Independent
Production Prototype
- Architected a multi-agent system with planner, executor, and validator roles for coordinated task execution.
- Designed prompt and role structures to improve reliability, specialization, and review flow.
AI Workflow Configuration Platform
AI-Assisted Plan Review System — Independent
In Development
- Designed a modular workflow system with triggers, escalation logic, and human-in-the-loop review.
- Modeled decision paths and system behavior for permits, licensing, and service workflows.
Experience
2020 – Present
Dallas, TX
Founder & AI Systems Architect
Big Freight Life LLC
- Apply systems-level reasoning and tradeoff analysis to design decision-driven systems under real-world constraints.
- Design, build, and ship production web and mobile applications, including live apps in the App Store.
2022 – 2026
Cleveland, OH
Experience Designer
Hyland Software, Inc.
- Lead design for enterprise systems and integrations (Salesforce, Workday, ServiceNow), focusing on workflow orchestration.
- Designed regulated platforms and secure submission systems under compliance constraints.
- Defined system behavior, accessibility, and decision flows for complex workflows.
Pre-2020
Earlier career
Web design · Telecommunications · Small business
- Came up through web design in the 90s, telecommunications (designing physical systems), and running a small business before enterprise UX — the path that led to systems and AI.
Achievements
Formal AI training from MIT, Stanford, Wharton, IBM, and Google Cloud — 19 credentials in all.
Let's work together.
If your system isn't keeping up with your AI, that's the layer I design.
Let's talk