Insights & Ideas

The AI model is not the product. The interaction design is.

Three frontier LLMs tested with 153 users produced different usability scores. The differentiator was design, not capability, and the data shows this pattern holds across $370M enterprise deployments.

What exactly IS prompt engineering?

Prompt engineering is where AI results start, not where they peak

How to roll out AI implementations

Are there techniques that high-performing organizations use to roll out their AI implementations? Lets explore finding a special recipe that all organizations can strive for.

The real benefits of adding an AI chatbot to your website.

Companies with strong knowledge bases achieve 75% AI resolution rates and 369% ROI. The 39% that fail almost always have an infrastructure problem, not a model problem.

Prompt engineering is only the first step to create great AI

The first five hours of prompt work produce a 35% accuracy gain. The next 60 add only 6%. The best organizations treat prompt engineering as only the first step.

Context engineering

A well engineered pipeline matters. The gap between relevant response and poor answers is not a model problem. A smaller AI with well-engineered context outperforms a much bigger model without it. Context engineering, the discipline of designing what an AI sees before it responds, explains the gap.