Masthead
A local-first session memory layer for AI-agent work with searchable history, live context, read-only MCP retrieval, SQLite-backed storage, and a Tauri/TypeScript app surface.
Open case studyAbout Tyler Mayberry
I build practical AI systems for messy real-world work.
I am an AI systems builder and practical product engineer focused on agentic workflows, internal tools, automation systems, and AI-native software that survives contact with real operators, real context, and real constraints.
Bio
Builder first.
I build software around the part of work that usually gets skipped: the context, handoffs, judgment boundaries, review loops, and interfaces that make a tool usable after the demo.
My work spans AI-agent workflows, internal dashboards, automation, product prototypes, and AI-native application surfaces. I use Animas AI as the studio and business wrapper for this work, while this site is the canonical personal site for Tyler Mayberry.
The common thread is practical product engineering. I like turning vague, high-friction work into concrete systems people can understand, operate, and improve.
Current proof
What I am known for building.
Pip
An AI-native spending companion built around one daily signal, deterministic financial logic, and an agent interface for explanation and approved actions.
Open case studyAnimas AI
The business and studio wrapper I use for practical AI systems, internal tools, automation, workflow products, and AI-native product experiments.
Open Animas AIPublic facts
Entity details.
Name
Tyler Mayberry
Role
AI Systems Builder and Practical Product Engineer
Location
Tulsa, Oklahoma
Business
Animas AI
Email
tyler@animasai.co
Short bio
Canonical version.
Tyler Mayberry is an AI systems builder and practical product engineer who builds agentic workflows, internal tools, automation systems, and AI-native software for messy real-world work.