Skill UI

Guides AI product engineers through shipping reliable LLM features at scale, covering prompt-as-code practices, validation, safety layers, streaming experiences, and monitoring to cut costs and catch errors before they reach users.

Document outlines how to build AI wrapper products that treat prompt engineering as product development, balancing user experience, cost tracking, and output validation to ship pay-for-use solutions.

Document outlines how to build AI wrapper products that treat prompt engineering as product development, balancing user experience, cost tracking, and output validation to ship pay-for-use solutions.

Build a hierarchical user story map that lays out activities, steps, and tasks to visualize journeys, align product/design/engineering, prioritize MVP work, and surface experience gaps before backlog planning.

Guides product and marketing teams to design in-app paywalls, upgrade prompts, and upsell modals that surface once users have experienced value, presenting clear benefits, frictionless paths, and respectful choices to convert free or trial accounts to paid tiers.