What happens after the initial demo?

I cover the practical AI coding space, with a focus on coding agents, LLM reviews, and repeatable workflows. I spend most of my time building, testing, and refining systems around those tools. The demo is usually the easy part. The useful lessons show up when context gets crowded, agents edit the same files, a tool changes its limits, or generated code passes a quick check but fails a real review.

That is what I write about here. I turn the work into practical guides, field notes, scripts, and diagrams that other builders can inspect and try.

What do I write about?

How do I test and publish guides?

I test a workflow before recommending it. Product behavior, commands, limits, and policy claims are checked against official documentation or first-party announcements when those sources exist. If something comes from my own use or a community report, I label it that way.

Articles show when they were published and updated. When a product changes, I revise the relevant guide or add a clear time boundary. If you spot an error, email me at hqmank@gmail.com and I will review it.

How are sponsorships and affiliations disclosed?

If a page contains an affiliate link, partner offer, or one of my own products, I label it. I do not present paid placement as independent editorial.

How do you cite my work?

Link to the specific article rather than the homepage. Credit Kai Wang (AI Kai). Each article includes the author, published date, updated date, and source links when relevant.