.1TechnologyAugust 18, 2026 Karina The Knowledge Layer Multi-Agent Systems Actually NeedEnterprises are building multi-agent systems backwards. All the investment goes into how agents communicate, almost none into what they reason on. Orchestration coordinates the workflow, but over ungoverned data it just helps agents pass flawed assumptions to each other faster. The fix is a shared knowledge layer
.2AI Across IndustriesAugust 11, 2026 Karina Adopting AI in a Regulated Enterprise: Moving Beyond the Proof of ConceptEnterprise AI has split into two camps: those running experiments and those in production. For regulated industries, crossing that gap is brutal — 62% of enterprises stay stuck in pilots. The blocker is rarely the model. It is a foundation that treats data governance as a patch instead of the structure holding everything up.
.3AI Across IndustriesAugust 4, 2026 Karina How Enterprise AI Should Actually Be Built: Context First, Model SecondMost enterprise AI starts with the model and recovers context later — which is why accuracy breaks in regulated work. The fix is to reverse the sequence: build a validated semantic layer before the LLM touches your data. See how a context-first architecture hit 97% accuracy where conventional RAG stalled at 80%.
.4AI Across IndustriesJuly 21, 2026 Karina You Do Not Control Whether Your AI Model Stays Available. Your Architecture Decides What That Costs You.Most enterprise AI stacks treat one hosted model as a hard dependency. When Anthropic suspended Fable 5 and Mythos 5 globally in June 2026, that dependency became a single point of failure overnight. Resilience is not about picking the right vendor. It is about decoupling your knowledge layer so any model is replaceable.
.5TechnologyJune 25, 2026 Karina You're Running an LLM. But Do You Actually Know If It's Working?You deployed the model. The team tuned the prompt, the architecture, the pipeline. But do you know if the output is actually good? Most enterprises operate with an evaluation blind spot, catching failures only after they reach a customer. Here is what to measure, what to fix, and where to start today.