Engineering: AI

Velocity is one of those words that shows up in every leadership deck and every product kickoff. But in practice, it behaves more like bubbles escaping a can of La Croix. The moment you try to hold onto it, it's gone. What remains is a backlog that looks less like a roadmap and more like

You might not be using AI agents yet, but you will soon. They'll schedule your meetings, analyze your data, write your code, and automate your workflows. However, to accomplish any of this, they need to access your calendar, data, code, and systems. Large language models can do this the same way any software talks to

It's been just over a month since we released the first version of Vision Agents, our new open-source framework designed to help developers quickly build video AI applications using their favourite AI tool and Stream. Since the initial release, we've been hard at work adding new plugins, simplifying the code, and working with the community

Thinking... Ruminating... Billowing... Wibbling... Cerebrating... These words invented by AI companies to mask processing are all very cute, but in reality, they're all just apologetic loading states. When ChatGPT shows "thinking" or Claude displays "ruminating," they're admitting their models aren't ready to interact with you yet. For text chat, a few seconds of delay feels

This article aims to help you build AI agents powered by memory, knowledgebase, tools, and reasoning and chat with them using the command line and beautiful agent UIs. What is an Agent? Large language models (LLMs) can automate complex and sequential workflows and tasks. For example, you can use LLMs to build assistants that can

Many people (especially developers) want to use the new DeepSeek R1 thinking model but are concerned about sending their data to DeepSeek. Read this article to learn how to use and run the DeepSeek R1 reasoning model locally and without the Internet or using a trusted hosting service. You run the model offline, so your

A technician stands in front of a malfunctioning pump at a manufacturing plant. The pump is old, with scattered documentation, and the plant manager needs it running in two hours. The tech raises her phone, and the camera scans the nameplate. Her AI agent sparks to life, cross-references the pump model against the facility's asset

Voice AI technologies have recently become central to communication between customers, small businesses, and enterprises. To extend the capabilities of these systems, the Model Context Protocol (MCP) becomes a must-have. Utilizing MCP can enhance the capabilities of voice systems to ensure they provide users with satisfactory responses. Continue reading to discover the APIs, open-source frameworks,