Insights

Insights for practical AI adoption.

Ideas, examples, and implementation thinking for people who want AI to become useful in real work, not just another set of tools to chase.

Why Beginners Might Beat Experts at Learning With AI

Why Beginners Might Beat Experts at Learning With AI

Why Beginners Might Beat Experts at Learning With AINino Giambalvo
Published on: 19/05/2026

People new to a field may have an AI learning advantage: they can learn the work and the AI workflow together, making hidden expertise more visible and repeatable.

Educating with AI
Lazy AI content is damaging your reputation

Lazy AI content is damaging your reputation

Lazy AI content is damaging your reputationNino Giambalvo
Published on: 11/05/2026

Lazy AI content is hurting credibility. Generic posts may speed up publishing, but they flatten expertise and quietly damage reputation. Here is a better way to use AI.

AI Insights
Testing your AI assistant: what to watch for and what to do with what you find

Testing your AI assistant: what to watch for and what to do with what you find

Testing your AI assistant: what to watch for and what to do with what you findNino Giambalvo
Published on: 06/05/2026

Testing an AI assistant means running it on real work, spotting friction, and turning what you find into targeted improvements. Here is what to watch for and how to structure the review.

Learning AI
Workspace agents: what the shift from GPTs really means

Workspace agents: what the shift from GPTs really means

Workspace agents: what the shift from GPTs really meansNino Giambalvo
Published on: 27/04/2026

OpenAI's workspace agents signal a shift from shareable GPTs to governed, workspace-native agents. Here is what that means for teams, consultants, and public GPT strategies.

AI Updates