AI / agent trainingTraining
Hands-on AI agent training and workshops for enterprise teams, built around real tasks and practice.
Founder & CEO, Chentian AI (晨天智策)
I'm Chen Tian, but most people call me Sky, and I'm the founder and CEO of Chentian AI (晨天智策). I'm honestly a bit obsessed with AI: I use it every day, and I keep thinking about how to make it useful in real work.
I started with GEO: getting a brand and its content seen, cited and recommended inside the answers of AI search and generative engines like ChatGPT. Today Chentian AI puts its weight on training, consulting and premium managed services, mostly for leading enterprises.
The company began as a pure managed-GEO service. It now works in three areas: training, consulting and premium managed services, mostly for leading enterprises. Website: chentianai.com.
Hands-on AI agent training and workshops for enterprise teams, built around real tasks and practice.
Diagnosis, planning and hands-on implementation support: get a clear picture of where you are, agree a plan, then stay alongside the team while it gets done.
Managed GEO and content delivery for leading enterprises, so the brand can be seen and cited in AI search answers.
Besides running the company, I also teach and run workshops for enterprises myself.
Hands-on AI agent training for enterprises, such as a one-day "AI key-account sales in practice" workshop for sales teams, a two-day course on applying AI agents in the enterprise, and a hands-on course on WorkBuddy, a desktop AI agent.
I've given practice talks on AI agents and OPC (one-person companies), and talks on enterprise AI adoption covering how AI capability is changing, going from personal practice to organizational capability, paths to adoption in the enterprise, and GEO.
Courses are built around real tasks and hands-on practice, not concepts and demos.
Honestly, I'm pretty fanatical about AI. I use AI agents such as Claude Code and Codex heavily every day, for engineering, content and delivery. That's simply how I work now, not an occasional experiment. I've handed many of my workflows to agents; I set the direction and review the results.
Several agents write code in parallel.
Agents look things up, run research and draft content.
Agents work together to produce deliverables.
I decide direction, trade-offs and final quality; the agents do the execution.
Our own GEO diagnostic system, used to check how visible a brand and its content are in AI search.
Studying the videos and sources that AI and large language models cite most often, and what they have in common, as input to GEO work.
I'm in the middle of organizing a knowledge base on running X (Twitter) accounts.