Case Study

AI-Assisted Delivery Workflow

A practical rules-and-commands system for turning prototype-driven product work into reviewable frontend changes faster and with more consistency.

Problem

Teams were using AI tools inconsistently: useful for isolated tasks, but hard to rely on for a repeatable product workflow without shared context, guardrails, and review expectations.

Approach

I organized guidance into committed rules, commands, and task-tier prompts so the tooling could understand project conventions, inspect the right context, and produce changes that fit existing architecture and review standards.

Outcome

In recent prototype-driven workflows, this reduced ticket-to-preview turnaround to 1-2 days compared with an estimated week for traditional hand-coded scaffolding.