Tyler Mayberry

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 | App | Case study

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