The Briefing: AI Insights & Playbooks

Autonomy collapses when data answers what happened but can’t defend why. Decision-grade data is the real AI bottleneck.

From ubiquity to world models, each lab defines intelligence differently. The real advantage is knowing which theory fits your use case.

Multi-agent looks powerful. Singleton wins on clarity, cost, and control. Learn when to scale and when to stay singular.

SaaS scaled cost by seats. AI scales cost by curiosity. The winners design for constraint.

Stop chasing a holy grail model. Start building systems where agents think collectively and act autonomously.

Evals turn AI from intuition to evidence. Without them, you're not building intelligence, you're automating uncertainty.

Most companies have oceans of data but islands of understanding. The next revolution begins when data starts to think in domains.

AI doesn’t fail because of code. It fails because people don’t change. The real upgrade is behavioral, not technical.

Bigger models don’t guarantee success. Evals do. They transform stochastic AI into predictable business outcomes for B2B leaders.

Decision platforms, machine learning, and LLMs each have a role. The key is orchestrating them in B2B operations.