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About

Performics Labs

AI News Hub is where we translate frontier AI into practical marketing playbooks. The goal is simple: make fast-moving technical change understandable and usable for marketing practitioners, strategists, and ad-tech engineers.

What we do

We follow the parts of AI that directly affect digital marketing infrastructure: models, browsers, protocols, tooling, agent systems, and the measurement problems that appear when those layers start to change.

The editorial stance is practical. We are less interested in generic AI commentary and more interested in what changes the work: what gets easier, what breaks, what becomes measurable, and what teams need to build next.

Who it is for

Marketing practitioners who need to understand where AI is changing channels, workflows, and measurement.

Ad-tech and data engineers who need concrete implementation context rather than broad trend summaries.

Teams trying to connect research, operating practice, and working systems.

Focus areas

The site stays narrow on purpose. These are the areas where we think the architecture shift is most material.

01

Search and AI discovery surfaces

02

Programmatic and ad-tech infrastructure

03

Agentic commerce and machine-readable retail

04

Marketing workflows built with tools, skills, and agents

How the site is structured

The site has three working layers. Use them in sequence when you need to move from awareness to implementation.

How we work

We prefer primary sources where possible, then pressure-test claims against implementation detail, ecosystem movement, and what a marketing or engineering team can actually do with the change.

The site also acts as a working notebook for build efforts that continue outside the article itself: shared repos, session pages, experiments, and prototype infrastructure.