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infrastructure

8 articles

Build vs Buy: AI Personalization Infrastructure
Deep Dive build-vs-buy personalization

Build vs Buy: AI Personalization Infrastructure

You can build your own AI personalization layer. You can also build your own database. The question is not whether you can. It is whether you should spend 6 months on infrastructure instead of your product.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 13 min read
Personalization at the Infrastructure Layer
Deep Dive personalization infrastructure

Personalization at the Infrastructure Layer

Every AI product team builds personalization from scratch. Feature-level hacks, prompt injection, user preference tables. The result is fragile, inconsistent, and impossible to scale. Personalization needs to move from application code to infrastructure.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 13 min read
Observation Contexts Explained
Deep Dive self-models architecture

Observation Contexts Explained

Observation contexts are the infrastructure layer that gives self-models meaning. They define the dimensions along which a product observes and understands each user - turning raw interaction data into structured, actionable understanding.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 14 min read
The Self-Model Is the New CRM
Opinion CRM self-models

The Self-Model Is the New CRM

CRMs track what customers did. Self-models understand what customers believe. Here is why the next generation of customer intelligence is epistemic, not transactional.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 9 min read
Founder Time: Infrastructure vs Features
Opinion founders infrastructure

Founder Time: Infrastructure vs Features

Every hour you spend building personalization infrastructure is an hour not spent on your core product. The hidden cost of DIY user understanding is measured in founder-months, not engineering-hours.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 9 min read
What Segment and Amplitude Miss About Your Users
Opinion analytics self-models

What Segment and Amplitude Miss About Your Users

Analytics platforms tell you what users do. They cannot tell you why. Self-models fill the gap between behavioral data and genuine user understanding.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 12 min read
The Eval Stack for AI Product Teams
Research evaluation architecture

The Eval Stack for AI Product Teams

Unit tests, human review, A/B tests. The 3-level eval pyramid from Hamel Husain's framework, plus where self-models fit as the context layer that makes every level smarter.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 12 min read
The Personalization Stack Is Broken: Here's the Missing Layer
Opinion personalization infrastructure

The Personalization Stack Is Broken: Here's the Missing Layer

CDPs and recommendation engines optimize for surface-level signals. The AI-native personalization stack of the future needs causal structures: understanding WHY customers act, not just WHAT they do. Digital twins are how we get there.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 8 min read

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