Building a Modular Prompting System for AI Ad Generation
55 minutes
admin
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Internal
Overview
Shift from semantic induction to a Knowledge Base of Frameworks & Personas for targeted ad creation
Prerequisites
Basic Python programming knowledge
Familiarity with LLM and prompt engineering concepts
Understanding of RAG (Retrieval-Augmented Generation) basics
Learning Outcomes
Explain the modular prompting workflow and its advantages over semantic induction
Build a Framework Database with PAS, AIDA, and BAB structures
Create a Persona Database with distinct voice profiles
Implement the end-to-end Python orchestration script
Apply semantic induction for intelligent intent matching
Tutorial Info
Type
Interactive
Difficulty
Intermediate
Duration
55 minutes
Provider
Internal
Published
Mar 17, 2026
Last Updated
Jun 05, 2026