In today's episode Taylor walks through a live Statlas demo showing why AI tools hallucinate when they lack business context. He shows how the same data produces wildly different (and wrong) recommendations without a methodology layer, then demonstrates how CTC's hierarchy of metrics framework transforms AI from unreliable to actionable.

This episode also covers why Meta's Advantage+ tools are designed without a point of view, and what that means for brands relying on them.

In this episode:

Why Meta's Advantage+ has no underlying methodology
Live demo: AI hallucinating on a Statlas dashboard
How providing context (the hierarchy of metrics) fixes everything
Why contribution margin should be your AI's north star
The "squeezing the sponge" trap of single-objective optimization
Why CTC's context layer is a structural advantage
What founders need to clarify before AI can help them

Show Notes:

Axon is offering $5K ad credit when you spend $5K. Go to https://axon.ai/en/ctc to set up your first campaign.
Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engine

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