AI Field Notes: Kimi, Stan, and more

Standard AI workflows often struggle with long-running tasks, as users are forced to constantly restart prompts and lose valuable context. This guide explores how Codex uses persistent threads, external memory vaults, and automated loops to create a continuous workspace capable of managing complex, ongoing projects.

In this tutorial, you'll learn how to set up Buzz, a Slack-like app that allows multiple AI agents (Claude Code, Codex, Grok, and others) to work together as a team. It’ll show you how to create agents, select their models, build custom workflows, share compute, and manage everything right from your phone.

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Containers, databases, cloud storage buckets, and Model Context Protocol (MCP) servers

The Musk-led company just dropped Grok Voice Think Fast 2.0, a speech-to-speech model for voice agents that beats out OpenAI's GPT-Realtime-2.1 and Google's Gemini 3.1 Flash. With a response time of just 0.70 seconds, the model actually reasons while it speaks, allowing tool calls to trigger before the agent even finis

The Chinese AI lab just released Kimi K3. It’s a massive 2.8 trillion parameter model with native vision and a 1 million token context window. The lab claims it only trails Claude Fable 5 and GPT 5.6 Sol, meaning it beats every other model they tested. It even beats Fable 5 on the Frontend Code Arena, where human judge

Stanley proactively creates relevant social media posts by plugging into your most-used tools, learning your unique writing voice, and publishing across LinkedIn, X, Instagram, and other platforms. The startup claims Stanley runs all posts by you before publishing, and automatically eliminates any common tells of AI wr