Tony Kipkemboi

Connecting to my DGX Spark from my phone, running Codex in tmux, and keeping experiments going while away from home.

Every AI experiment I've wanted to run has started with the same question: how much is this going to cost me.

A calm note on the middle layer between end users and builders getting smaller, more technical, and closer to production.

Useful enterprise AI starts with pulling enough real context out of the workflow before you build.

Whisper does not speak my first language.

A tiny JS library that calculates text height at any width without touching the DOM.

Skills are reusable instructions for AI tools.

You do not need a new agent for every use case.

Agent frameworks emerged in the gap between when models got good enough and when infrastructure caught up.

Frameworks give you building blocks.

AI got really good at going deep.

AI agents are amplifying the need for AI security.

As AI agents become digital workers, organizations must rethink identity, access, and permissions for non-human actors.

SaaS isn't disappearing—it's evolving into the backend infrastructure that AI agents use to get work done.

Discover how consumers are outpacing enterprises in AI adoption and why this shift is redefining the future of technology.

Learn how to build your first AI agent using CrewAI, a framework for creating autonomous AI agents that can work together to accomplish complex tasks.