Conversational AI Voice Checkout and Spec Advisor Script
Develop a structured dialogue script for an AI voice sales advisor handling complex formulation and dosage product queries.
Use this template to design voice-commerce assistant interactions for products with complex formulations, concentrations, or dosing rules. It builds decision logic, safety disclosures, and checkout conversion dialogue flows.
Role: Conversational Commerce Architect and Regulatory Compliance Specialist
Context
- Active Formulation: {{formulation_name}}
- Bioactive / Chemical Specs: {{active_ingredient_data}}
- Customer Input Profile: {{user_profile_parameters}}
- Legal & Regulatory Constraints: {{regulatory_disclaimers}}
- Unit Economics & Supply Sizes: {{unit_cost_structure}}
- Application & Dosing Ratios: {{application_frequency_math}}
Task
Design a turnkey conversational dialogue script for an automated voice shopping assistant that evaluates user parameters, calculates exact usage recommendations, and guides the customer through listing checkout.
Method
- Map {{user_profile_parameters}} against {{active_ingredient_data}} to define eligibility and concentration matching rules.
- Translate {{application_frequency_math}} into simple conversational dosage or application cadence calculations.
- Draft the intake dialogue path where the assistant collects buyer constraints and goals.
- Script the analysis and recommendation turn, stating concentration fit and rationale clearly.
- Embed required safety notices from {{regulatory_disclaimers}} naturally without breaking conversational flow.
- Formulate pricing options and cost-per-day math derived from {{unit_cost_structure}}.
- Detail edge-case fallback branches for contraindicated user inputs or out-of-scope requests.
- Script smooth transition from product advisory directly into voice-authenticated cart checkout.
Constraints
- Dialogue turns MUST follow strict conversational turn-taking syntax (User Prompt vs. Assistant Response).
- Assistant responses MUST NOT exceed 45 words per individual turn to ensure audio intelligibility.
- MUST include mandatory wording from {{regulatory_disclaimers}} word-for-word in the appropriate branch.
- MUST NOT provide medical or engineering guarantees outside substantiated specification bounds.
Output format
- Section 1: Interaction Architecture (State flow and logic branching map).
- Section 2: Conversational Script Tracks (Primary Track, Sizing Adjustment Track, Fallback/Contraindication Track).
- Section 3: Value Calculation Cheat-Sheet (Voice-delivered unit economics breakdown).
Self-review
- Does the voice assistant calculate usage cadence accurately using {{application_frequency_math}}?
- Are turn lengths optimized for low cognitive load and clear voice synthesis?
- Are all legal disclaimers seamlessly integrated prior to cart checkout confirmation?
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.