Insights

Insights

What we learn in the field, what's shipping on the model side, and what it changes for your company. Written by us, no fluff.

Why the Next Enterprise Software Won't Look Like Salesforce

To see what enterprise software will look like tomorrow, don't watch the demos. Look at the invoice: we're done paying for seats, we're starting to pay for outcomes. And that changes everything else.

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Three scenarios for transformative AI, and what they change for your company right now

Revolution or bubble? Wrong question: nobody knows the answer. The right one is knowing what holds true in all three scenarios - and building that, now.

What Datadog teaches us about monitoring AI agents in the enterprise

Everyone assumes the risk with AI agents is what they can't do. The real risk is what nobody sees when they get it wrong - and one company already solved that exact problem once.

When memory breaks: the 7 ways your AI agents forget

"Our agent was good last week, now it's gone dumb." The model didn't change. Memory did - and it fails in seven distinct ways.

How to evaluate an AI model without getting fooled by benchmarks

Model leaderboards exist to sell, not to help you choose. Here's why public scores inflate themselves - and how to build, in a single day, the evaluation that actually matters for your company.

The real blocker to enterprise AI isn't technical, it's your org chart

Your AI pilot works fine. It just never scales. The model isn't what's blocking you: it's the dotted line between two teams.

Should you run your AI on open-source models?

Open models versus closed models: the real stakes aren't ideological, they're economic and strategic. What it changes for your company, no jargon.

"An alien mind": what OpenAI's chief scientist just admitted

Jakub Pachocki, OpenAI's chief scientist, describes his own AI as "an alien mind" he doesn't fully understand. Why that admission should shape how your company deploys AI.

What is an AI-native company?

The difference between bolting AI onto the side and rebuilding your company around it. A concrete definition - no jargon, no vague promises.

What is a company brain?

The living memory of an organization: gathering all of a company's knowledge in one place, making it legible to AI, and making it more useful with every project. A concrete explanation.