AI content systems that scale: Building frameworks beyond one-off prompts
You don’t have to be an AI expert to use AI effectively in content design — you just need solid fundamentals and the right mindset.
In this session, Jordana will break down how the 70,000+ different models work and help you learn how to match the right tool to the right task. Moving beyond basic prompting, you’ll explore frameworks such as RACE, PAS, or “just start,” and learn tool stacking techniques that transform generic AI outputs into polished content. This session is perfect for content designers who have tried AI but want to move beyond basic instructions to create truly exceptional, scalable content systems.
In this session, you’ll learn how to:
- Apply the RACE framework to transform vague AI instructions into structured prompts that deliver consistent, brand-aligned content.
- Implement “tool stacking” workflows that combine Chef (LLM), Detective (data-sourced), and Janet (hybrid) AI models to solve specific content challenges.
- Identify which AI approaches work best for different content tasks, from ideation and research to creation and optimization.
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