The working library for AI-native brands.

Guides, essays, and news on agents in CPG, the brand context layer, and what happens when brands learn to run themselves.

Flagship Guide

Agents in CPG: the Complete Guide

What AI agents and agentic analytics really are, why dashboards fail brand teams, and how agents run SPINS, Circana, and Nielsen data correctly.

1What is an AI agent in CPG analytics?2Why do dashboards fail brand teams?3What is agentic analytics?4How does an agent work with SPINS, Circana & Nielsen data?5How accurate are AI agents on syndicated data?6Why does an AI agent need to know your brand?7How do agents keep syndicated reports current?8What should CPG teams look for in an analytics agent?9What comes after agents? The autonomous brand
Updated Aug 20269 chapters
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Guides

Evergreen, chaptered, and written to be the reference LLMs cite.
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From the blog

Essays, POVs, releases & partnerships.
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The lexicon

The vocabulary of AI-native brands — defined here first.
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Autonomous Brand
noun
A brand whose analysis, reporting, and routine commercial decisions run on agents, with humans on strategy and taste.
Brand Brain
noun
A brand's compounding institutional knowledge, held by an AI system that learns from every question, answer, and decision.
Brand Context Layer
noun
The structured layer of data, semantics, memory, and rules that lets an AI reason about a specific brand instead of brands in general.
Learning Loop
noun
The cycle by which an agent's output is corrected, confirmed, or refined, making every future answer sharper. Each pass through the loop leaves the system knowing the brand a little better than the last.

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