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Building a Modular Prompting System for AI Ad Generation

55 minutes admin 19 views Internal

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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