--- name: Tyler Mayberry title: AI-Native Systems Builder location: Tulsa, OK / Remote summary: AI-native systems builder who turns messy workflows into practical software, internal tools, agent workflows, and product prototypes. tags: - ai-agents - internal-tools - workflow-automation - product-engineering - full-stack - nextjs - react - typescript - python - sql - supabase - openai - anthropic - gemini - netlify - github - technical-operations - customer-workflows open_to: - full-time remote - contract - consulting - forward-deployed AI - product engineering --- # Tyler Mayberry **AI-Native Systems Builder** | Tulsa, OK / Remote [tyler@animasai.co](mailto:tyler@animasai.co) | [GitHub](https://github.com/MayberryDT) | [LinkedIn](https://www.linkedin.com/in/mayberrydt/) | [Portfolio](https://tylermayberry.dev) | [Animas AI](https://animasai.co) --- ## About I build practical AI/software systems for messy real-world workflows: internal tools, agent workflows, dashboards, prototypes, and product surfaces that make ambiguous work easier to execute. My strongest fit is work that sits between product, operations, customer context, and implementation. I am not trying to sell myself as a conventional narrow specialist. I am useful where a team needs someone who can understand the workflow, talk to the people doing the work, use modern AI and software tools well, and ship something concrete. --- ## Current Focus ### AI Systems Contractor - Brander Group *Dec 2025 - present* - Work on NDA-sensitive internal AI-enabled operations tooling, described publicly only at a high level. - Contribute across agent workflow tooling, monitoring, prototype pipelines, content/project workflow surfaces, Git/deploy support, and operational dashboards. - Use AI coding agents as a core development skill: inspecting unfamiliar systems, shaping implementation paths, debugging, verifying behavior, and shipping practical improvements. ### Founder / AI Automation Builder - Animas AI *Aug 2023 - present* - Build AI-assisted products, workflow automations, and internal tools under the Animas AI umbrella. - Focus on practical systems that turn vague user or operator needs into structured workflows, reliable handoffs, and usable interfaces. - Public proof includes Pip, product prototypes, AI workflow experiments, and applied AI integrations. --- ## Selected Projects ### Pip [Product site](https://spendwithpip.com) | [App](https://spendwithpip.com/app) | [Case study](https://animasai.co/pip.html) Pip is an AI-native spending companion built around one daily spending signal: Spendable Cash Today. - Built with Next.js, React, TypeScript, Supabase, Plaid, OpenAI agent tooling, Netlify, Zod, Vitest, Playwright, and API routes. - Designed around a clear trust boundary: deterministic application logic owns account state and financial calculations; the agent explains, routes intent, helps with setup, and presents approved actions. - Strongest proof of my product judgment: reducing a broad personal-finance behavior into a simple daily signal instead of another crowded dashboard. - Public-safe framing: read-only account data, deterministic financial logic, agent-assisted explanation/action, no money movement, and no financial-advice claims. ### Nova OS / Central Brain Private agent workflow and durable memory infrastructure. - Built around the idea that useful agents need durable, curated context instead of raw transcript dumps. - Explores agent coordination, retrieval, task records, tags, links, project context, and operational dashboarding. - Useful proof for agentic systems, memory design, internal tools, and AI operations. ### Mission Control NDA-sensitive internal AI operations platform work for Brander Group. - Publicly described only at a high level. - Relevant areas include agent workflow tooling, automation, monitoring, content/project workflow surfaces, prototype workflow surfaces, and deployment/process support. - Strong proof that I can work inside a complex, evolving AI operations codebase and turn ambiguous requests into verified changes. ### Executioner AI-assisted execution-planning product prototype. - Built with React, TypeScript, Supabase, Stripe, Resend, Gemini, access-key auth, onboarding flows, checkout/customer portal flows, audio transcription, brain-dump processing, and deterministic scheduling logic. - Strong proof of shipping a real product surface with onboarding, payments, email, and workflow logic. - Useful lesson: building the product is different from distribution and ongoing maintenance. --- ## Experience ### Bar Manager - Highgate Hotel Management / Holiday Inn *Nov 2022 - present* - Lead customer-facing operations under pressure, including prioritization, service recovery, guest communication, and team coordination. - Manage a team of 5 and work across hotel/bar/front-desk operational realities. - Confirmed operating outcomes include guest satisfaction up 22%, service scores up 18%, loyalty recognition improved from below 50% to above 80%, 98% complaint resolution, and RevPAR up 15% year over year. ### Software Systems Engineer - Panasonic Automotive Systems *Sep 2020 - Dec 2021* - Supported automotive media/navigation testing through troubleshooting, issue diagnosis, electronics work, internal database updates, and cross-team status communication. - Worked inside email and spreadsheet-heavy operational workflows, which shaped my interest in internal tooling and automation. ### Shirokuma / Ice Bear Digital *Entrepreneurial ecommerce and web experiments* - Built and operated an ecommerce marketplace business that reached approximately $15,000/month profit at peak and over $200,000 in revenue. - Coordinated 4 contractors across customer service, product research, and listing work. - Used marketplace tools, spreadsheets, supplier/order tracking, and workflow processes to scale beyond what I could do alone. --- ## Technical Stack | Category | Tools | | --- | --- | | Frontend | React, Next.js, TypeScript, JavaScript, Tailwind CSS | | Backend / Data | Node.js, Python, SQL, SQLite, Supabase, PocketBase | | AI / Agents | OpenAI API, Anthropic API, Gemini API, AI coding agents, agent workflows, prompt/tool boundaries | | Product / Ops | Internal tools, dashboards, workflow automation, implementation plans, testing, documentation | | Integrations | Plaid, Stripe, Resend, Netlify, GitHub, Make, Zapier | --- ## Working Style - I learn quickly in unfamiliar systems. - I am strongest when outcomes are clear but the path is not. - I care about useful shipped work, verification, and clean handoffs. - I communicate well with nontechnical users and can translate messy workflow needs into software/product decisions. - I use AI agents actively, but my value is judgment: deciding what to build, what the model should not own, how to verify behavior, and how to make the system usable. --- ## Education **Oklahoma State University** - Bachelor's Degree, University Studies Focus/coursework: Management Science and Information Systems | Minor: Japanese **Shinshu University, Matsumoto, Japan** - Intensive Japanese Language Program --- ## Useful Links - [Portfolio](https://tylermayberry.dev) - [GitHub](https://github.com/MayberryDT) - [LinkedIn](https://www.linkedin.com/in/mayberrydt/) - [Pip](https://spendwithpip.com) - [Animas AI Pip case study](https://animasai.co/pip.html)