Masthead
A local-first session data layer for AI coding agents: capture harness work into SQLite, publish knowledge artifacts through Workbench, and retrieve them via read-only MCP. Electron desktop app for macOS and Linux.
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.
ChartStead
Conference programming and speaker management software. Keep the call, review, speaker work, messages, and agenda together, then publish the public program when your team is ready. Live site, sample-data demo, and MIT-licensed source.
Open case studyPip
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.