AI & Machine Learning

Stop Treating AI Like Your Personal Assistant. You’re Missing the Entire Point.

We’ve been treating AI as an isolated personal assistant, but the real revolution is AI-to-AI coordination. By fusing agents with shared online documents, teams achieve a third generation of collaboration: humans oversee strategy while agents silently update shared states in the background. This amplifies team output without disrupting workflows, shifting collaboration from human-to-human to human, Agent, and shared state.

Stop Replacing Your Predictive Models with LLMs. They’re Not Magic.

The illusion of LLM universality is driving a dangerous trend: replacing proven predictive models with generative AI. In data-intensive industries, LLMs lack the statistical calibration, private data learning, and reproducibility required for operational decisions. The real value of LLMs isn’t replacing the compute step, but enhancing how we interact with and explain the data.

Stop Chasing Every AI Trend. DeepSeek Is Winning by Doing the Exact Opposite.

While the AI industry exhausts itself chasing every shiny new trend and short-term revenue stream, DeepSeek is playing a completely different game. By ruthlessly prioritizing foundational model improvement over market share, and turning open-source into an engineering efficiency moat, they are proving that discipline—not speed—wins the marathon.

The AI Product That’s Winning the Wrong War (And Why You Should Copy It)

Tencent’s WorkBuddy has 13M daily users—not because of its AI model, but because of three design decisions that create unbreakable organizational lock-in. The real moat isn’t intelligence; it’s the assets users build inside the product that they can’t take elsewhere. This analysis reveals the architecture, the multi-agent twist, and the questions every AI builder should ask.

Your AI Agent Is Overengineered. Here’s How to Strip It Down.

Most AI products are overengineered. The real decision isn’t which model to use—it’s how much control to give it. A practical framework: two axes, four quadrants, and three questions that save you millions. Learn from real cases like Klarna, Bank of America’s Erica, and a KYC product that deleted its router agent.