What problem does it solve? Course creators, consultants, and service businesses often write front-end marketing promises that their back-end delivery cannot fulfill, or list knowledge modules without explaining what change the customer is actually buying. This Skill audits each promise against concrete delivery actions, evidence, and boundaries so marketing never exceeds real capability. ## Core Features & Use Cases - Promise-to-Delivery Mapping: Produces a row-per-promise table linking each front-end claim to back-end actions, owners, timing, evidence, and explicit boundaries. - Dual Acceptance Review: Separately evaluates whether the motivation resonates with target users and whether delivery was actually fulfilled, with stop points when either fails. - Promise Shrinking: Converts uncontrollable outcome claims (income, savings, employment) into controllable deliverables such as reports, audits, or feedback sessions. - Use Case: A course seller whose landing page promises "career transformation" uses this Skill to rewrite it as an auditable commitment, map each claim to real delivery steps, and flag promises that must be withdrawn or narrowed. ## Quick Start Ask the AI to use the motivation-delivery audit to map each of your course or service promises to back-end actions, evidence, and boundaries, then give separate motivation and delivery verdicts.
