We tested AI shopping agents from Amazon and Perplexity to see how they fare helping prepare a family for Iceland's famously fickle Laugavegur Trek. Our quick takeaway? Highly capable LLMs such as Perplexity have the clear upper hand over bots like Rufus, at least for the moment, in providing expert-level guidance for complex purchasing, even if Perplexity's buy flow remains a tad glitchy. 

Complexity theory provides a cogent framework for understanding how agentic AI can drive corporate reinvention.

Agentic ecommerce moves beyond recommendation algorithms to focus on what the buyer is actually looking for.

Organizations adopting agentic tools need to reinvent themselves according to the KPIs of tomorrow.

As AI agents become mainstream, leaders need to prepare for a profound shift in human-machine collaboration.

Realizing the full potential of AI agents presents a curious challenge: learning from mistakes.

In this season of tech predictions, Human+Machine has proven prescient about the nonlinear roots of AI superpowers, writes David Golub.

Agentic AI is transforming product development, and it starts by using familiar tools like ChatGPT and Claude to create testable prototypes.

Does the morning briefing at your company probably look a lot like it did five years ago? Teams gather (virtually or physically), discuss...

The AI revolution isn't about machines replacing humans — it's about forging partnerships that amplify human capabilities. 

RAG represents a significant architectural advancement in LLM deployment.

Exciting research is transforming how AI agents communicate, bringing dramatic speed mprovements to enterprise AI solutions.