abwhitt.online

AB WHITTINGTON

AI systems builder

PLAYER 1HIGH SCORE SINCE 1996CREDIT 01

AI SYSTEMS BUILDER

Useful AI needs engineering judgment.

I build agentic workflows, developer tools, and product infrastructure for software teams that need automation they can understand, operate, and ship.

Career MapProjects

Level Select

Projects with context, constraints, and source trails.

01

Saguaro Agent

MIT-licensed workflow, memory, and knowledge system that helps AI coding agents carry context across sessions and harnesses.

Public source liveOpen Shell
  • Open source
  • MCP
  • Agent infra
02

11 Mile Labs Skills

MIT-licensed, multi-harness library of open-source AI agent skills across engineering, QA, product, and work-management workflows.

Public source liveOpen Shell
  • Open source
  • AI skills
  • MIT
03

11 Mile Labs SEO/AEO Skills

MIT-licensed, multi-harness methodology pack for technical SEO, schema guidance, AI citation readiness, and answer-first content strategy.

Public source liveOpen Shell
  • Open source
  • SEO/AEO
  • MIT
04

11 Mile Co

AI-orchestrated consulting practice built around adaptive agentic workflows for research synthesis, technical strategy, and delivery operations.

Case study plannedOpen Shell
  • Agentic systems
  • Consulting
  • Ops
05

Patina CRM

AI-augmented CRM platform for service businesses, built as a modern Turborepo, Next.js, Drizzle, and Neon product.

Case study plannedOpen Shell
  • Next.js
  • Drizzle
  • Neon
06

Platform Engineering

Infrastructure, design systems, migrations, and modernization work spanning Carvana, Salucro, CUBEX, and enterprise teams.

Notes plannedOpen Shell
  • Leadership
  • Migration
  • Systems

Operator Log

Product, platform, and AI systems work.

I have spent my career turning complicated operational work into software people can understand, trust, and keep improving.

View Career Map
  • Open-source AI agent infrastructure: workflow, memory, knowledge, and portable skills.
  • Agentic consulting systems: research, synthesis, strategy, review, and delivery operations.
  • Service-business product software: CRM, booking, workflows, and operator tooling.
  • Healthcare logistics and payments: modernization inside reliability-sensitive domains.
  • Enterprise platform work: cloud migration, cost controls, design systems, and internal tooling.
  • Engineering leadership: team structure, delivery accountability, and technical decision paths.

Signal Board

Engineering signal, not theater.

Useful systems have clear boundaries, visible tradeoffs, boring reliability, and enough documentation for the next engineer to make a good decision.

Agentic systems
Workflows where agents do focused jobs, humans keep control, and handoffs leave context behind.
Developer tools
CLIs, MCP servers, skills, scripts, and repo conventions that make repeated work easier to do correctly.
Product infrastructure
Data models, workflow states, integrations, and deployment paths that survive real users.
Modernization
Legacy systems, migrations, reliability fixes, and cost work without pretending the business can pause.
Leadership
Hands-on technical leadership across product teams, platform teams, and large delivery groups.