Transforming in PublicProduct Development

Enterprise Context Layer

As product velocity increases, documentation quickly falls out of sync with reality. Andy Chen and Sara Faradji are building a Claude Code–powered documentation layer that automatically updates knowledge bases, reconciles conflicting sources, and ships customer-facing updates within minutes of code changes.

Andy Chen

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In this series

4 parts

Part 1

Enterprise Context Layer - Building the Foundations

Andy Chen enhanced Enterprise Context Layer to convert real customer questions into governed FAQs. It routes unanswered bot queries through classification, AI-generated drafts, and human approval, so customers get faster answers without exposing sensitive internal documentation or workflows.

Part 2

Enterprise Context Layer - Automating Documentation

Part 3

Enteprise Context Layer - Auto-Governance

This follow-up takes the next step: move past customer-facing facts and build an Enterprise Context Layer that encodes how Abnormal actually works: our product dependencies, processes, competitive context, retention mental models, onboarding flows, and the “expert reasoning” that rarely lives in a single document.

Part 4

Enterprise Context Layer - Knowledge Distillation

Andy Chen is back with Episode 4 of the Enterprise Context Layer series, and this one is about the payoff. After introducing the base layer and walking through auto-governance in earlier episodes, Andy used this demo hour to show what downstream agents can actually do once the substrate is in place. The headline: a GTM Help agent that answers nuanced internal questions without any GTM-specific engineering.

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Enterprise Context Layer

In this series

Enterprise Context Layer - Building the Foundations

Enterprise Context Layer - Automating Documentation

Enteprise Context Layer - Auto-Governance

Enterprise Context Layer - Knowledge Distillation

Keep exploring