AI Workflow System

A public learning platform at ai.davishiggins.com that turns the AI-assisted workflows I use every day into repeatable methods for planning, building, documenting, reviewing, and shipping work.

Live public site

My role

Built the platform and wrote its guidance, drawn from my own development and analytics workflows.

Glowing DH monogram labeled AI Builder OS.

The problem

Using an AI tool without context, a defined task, or a review step produces fast output that is hard to trust or maintain. Most beginner guidance focuses on prompts and tools rather than the process around them.

My contribution

I built the platform and wrote its content. The material comes from the systems I use for real projects: task files, project memory, scaffolding, review loops, and shipping practices.

What I built

The site organizes guidance around a repeatable process instead of tool hype: a free AI Workflow System framework, a Claude Code playbook covering task files, project memory, agents, and review loops, and a structured curriculum that starts with setup and builds toward a controlled Claude Code operating system.

  • A practical framework for planning, building, reviewing, and shipping with AI.
  • A Claude Code playbook: task files, project memory, agents, and review loops.
  • A module-based curriculum that progresses from installation to a reusable operating system.
  • SEO-ready metadata and social previews on a fast single-page React and Vite build.

How it works

A lightweight React and Vite content platform deployed on Vercel.

  1. Workflows I use on real projects
  2. Written guides + playbook
  3. Curriculum modules
  4. React / Vite site at ai.davishiggins.com
AI Workflow System curriculum page listing modules with lesson counts in a sidebar layout.
The curriculum page on ai.davishiggins.com, which starts with setup and builds toward a reusable Claude Code operating system.

Key decisions

Teach a process, not a tool.

Task definition, context, and review generalize beyond any one model or product.

Treat review as part of execution.

Every workflow includes a verification step instead of trusting first output.

Lead with free guidance.

The core framework is available without an account so the method can be judged on its own.

Outcomes & evidence

The platform is live at ai.davishiggins.com, and the companion notes on daily AI use and building the Claude Code course document the approach in more depth.

Scope & limits

This project was previously listed on the portfolio as "Davis Intelligence"; that name now belongs to this site's public assistant. Paid course availability and checkout are not described here; the live site shows what is currently offered.

What I learned

Reliable AI-assisted work depends on task definition, context, and review more than on output speed.

Built with

ReactViteJavaScriptClaude CodeSEO metadataVercel

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