Practical AI


Practicality of AI Increasing as Agentic Age Advances

Artificial intelligence in business used to look like a clever parlor trick. It could write emails, summarize documents, and maybe even draft some marketing copy, but it could not really do the work. Over the past year or two, that has changed dramatically as agentic AI has emerged, turning simple, responsive chatbots into goal-driven workers that can take meaningful and valuable action in real systems, follow multi-step plans, and operate inside real governance.

Is Vibe Coding the New Coding?

Our columnist explores the question, and offers some answers.

Beyond the Blueprint: Mastering Prompting as the New Code for Practical AI Applications

The era of merely experimenting with artificial intelligence (AI) is over. Today, organizations and innovators require truly practical applications that deliver measurable business value and superior business outcomes, integrating seamlessly into everyday operations. The interface for creating value is moving from visual tools and fixed logic toward natural language conversation with sophisticated generative models.

Why Klarna's AI Experiment Matters: A Real-World Stress Test for the Automation Economy

While most companies debate how to integrate AI, Stockholm-based payments giant Klarna has already run the full experiment—and the numbers are stark.

Karpathy Puts Context at the Core of AI Coding

When former OpenAI scientist and former Tesla Senior Director of AI Andrej Karpathy first posted on X, "There's a new kind of coding I call 'vibe coding', where you fully give in to the vibes, embrace exponentials, and forget that the code even exists," it’s likely he didn’t foresee the firestorm he was about to spark.

Revealing the Unseen

This column is the product of an ongoing hunt for companies that use AI for more than simply writing emails and creating prettier pictures of their executives. Although many seem content treating artificial intelligence like an increasingly more expensive toy, I've been seeking people and organizations that understand the true potential of this technology: systematically improving business outcomes through intelligent automation.

Overcoming Fear of AI

Our columnist offers a second opinion on the dire predictions about the future of AI, suggested by the advent of Agent-to-Agent (A2A) protocols.

Interoperability Rides Again!

Our columnist holds forth on the role of interoperability in the evolution of technology, and the new demands for Agentic interoperability.

From Fig Newtons to Big Newtons

From the humble PDA to AI agents, our columnist muses on the evolution of the AI human interface.

The Road to AI Generated Apps is Paved with Low-Code/No-Code

"Despite much recent conversation about low-code/no-code (LCNC) being replaced by AI-generated applications," our columnist advises, citizen developers should be in no rush to abandon their favorite LCNC tools. It would seem that the developers of those platforms are carefully navigating the path from point-drag-click to natural language requests."

Featured