This playbook shows how to use LangGraph workflows to generate campaign configs from simple inputs. We'll build a system that transforms product descriptions into complete campaign strategies with audience segments and ad variations, while preserving human approval before execution.
This playbook shows how to use configuration-driven campaign matrices to automate Meta Ads at scale. We'll build a system that transforms campaign configs into complete ad variations with targeting, budgets, and creatives, eliminating manual setup across dozens of ads.
This playbook shows how to build Pydantic models that enable agents to create Meta ad campaigns programmatically. We'll implement the complete workflow from image upload to live ads, with automatic validation for budgets, content safety, and platform requirements built into every step.
