AI consultant and systems builder
Turning artificial intelligence into operational leverage.
Jay Johnson designs agent-driven workflows that replace fragmented tools and manual effort with coordinated, end-to-end systems. His work spans multi-agent architectures, prompt engineering frameworks, and automation pipelines that integrate across APIs, data sources, and existing business infrastructure.
He advises startups and global organisations on how to move from experimentation to deployment, with a focus on measurable outcomes: reduced operational load, faster decision cycles, and scalable processes that run with minimal oversight.
Client Credibility
Jay has trained or advised teams across global organisations, translating technical capability into practical execution for non-technical and technical audiences alike.
A Narrative-Driven Systems Approach
Jay's background spans creative production and technical systems. That combination informs a narrative-driven approach to AI adoption, where communication, product, and automation are designed as a single system rather than isolated functions.
Through Everyday AI, he publishes daily breakdowns of emerging tools, workflows, and applied use cases. The aim is not to chase novelty. It is to help teams understand what a capability can change, where it fits, and how it can be turned into repeatable execution.
Techism
Techism: The Next Evolution of Humanity
The same Techism video featured on the site is included here because it captures the strategic thread behind the work: understanding how people, teams, and systems evolve alongside artificial intelligence.
Read the AI Systems Library
Longer-form articles turn Everyday AI insights from YouTube, LinkedIn, and X into searchable website content.