Blogs

Forward deployed engineers vs staff augmentation: what each one is, the honest pros and cons, and a simple test for which one your team needs.

MCP does not replace your APIs. It gives AI assistants a standard way to use them. Here is the difference, in plain English.

MCP lets AI assistants plug into the tools your business already uses. Here is what it is, how it works, and what to check first, in plain English.

The four Opus 5.5 breaking changes fail on your first test. Four silent changes do not, and those are the ones that reach production.

TypeSafe AI's Jev returns typed values instead of generated text. Here's what that actually replaces in a production pipeline, what it can't do, and how it applies to quality of earnings classification.

Most guides to Claude enterprise security stop at SSO and audit logs. This one covers the layer that actually matters: how to govern what every connected tool is allowed to do once it's inside your workspace.

You approved the AI agent project. The demo looked great. Then the first invoice arrived. This is one of the most common moments in enterprise AI adoption right now. Teams build a working agent, ship it to production, and within 30 days they are looking at a cloud bill that is three to ten times higher than anyone projected. The agent is not broken. It is just expensive in ways that were never visible during testing. The problem is not the model. The problem is architecture.