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Skill

State Machines

Used in: ai-content-review-workflow

Designing explicit states for multi-step workflows (draft/review/apply/reject).

Designing explicit states for multi-step workflows (draft/review/apply/reject).

Content review and AI action workflows.

Content review and AI action workflows.

Explore with Alex OS

State machines give Alex's multi-step AI workflows explicit, trackable stages — draft, review, apply, reject — instead of implicit logic scattered across code.

State Machines

An AI method for modeling workflows as explicit named states with defined transitions. Alex applies this to content review and AI action pipelines, where knowing exactly which stage a piece of work is in matters for correctness and debuggability.

Where it's used

Applied directly in the AI content review workflow — a pipeline that scores and reviews content with an LLM before publishing. The draft → review → apply → reject state model makes the workflow auditable and easier to extend.

Practical working knowledge

Alex's experience level here is working knowledge, confirmed through active use in a real project. This isn't theoretical — the pattern is running in a live AI workflow automation context.