Google announced the Agent-to-Agent protocol, A2A, as a standard for how AI agents communicate with each other. This sits alongside the Model Context Protocol, MCP, which standardizes how agents acces

The first Head of AI Engineering at a company inherits one of three situations. Situation one: there is no AI team, no AI infrastructure, and the mandate is to build from scratch. Situation two: there

Software rollbacks are well-understood. You deploy a new version, detect an issue, and roll back to the previous version. The rollback is atomic: the entire application reverts to the previous state.

France released a fully open-source large language model trained on curated French-language data. India announced a multilingual model covering 22 scheduled languages. The UAE expanded its Falcon mode

A factory quality inspector does not make the widgets. They check the widgets that came off the line. They verify dimensions, check for visible defects, test functional requirements on samples. Their

An AI application built for a single user has no tenancy concerns. The user is the user. There is no data isolation problem because there is only one data set. There is no cost attribution problem bec

Input guardrails check whether a user prompt is safe. Output guardrails check whether a model response is appropriate. Agent guardrails check whether the actions an agent takes are within bounds. Thes

Machine learning teams face a version control problem that Git does not solve. Git tracks code changes, but ML experiments change more than code — they change hyperparameters, datasets, model architec

Single-agent systems have predictable failure modes. The agent calls a tool, the tool fails, the agent receives an error and decides what to do next. The failure is contained to the single agent's con