WordPress AI Stack
WordPress has done real work on the authoring side — authentication baked into MCP, provider transparency in the Connectors UI, a human in the loop before anything publishes. Good instincts. But the stack stops at the dashboard. Once a post goes live, readers get nothing. No signal that something was AI-assisted, no standard disclosure an author can surface without doing it manually. That gap isn’t a values problem — it’s just an unfinished layer. And if this ecosystem keeps building the way it has been, that’s the next thing worth getting right: disclosure that’s as automatic as the auth protecting the endpoint, not a label someone remembers to add.
AI Leaders Reflection
Efficiency (Lesson 4)
I use AI to cut the friction between idea and execution — generating boilerplate, scaffolding components, drafting copy, and handling repetitive logic so I can stay focused on the parts that actually need a human. The goal isn’t to go faster for its own sake; it’s to protect time for the work that matters.
Ideation & Iteration (Lesson 5)
AI is most useful to me as a thinking partner, not an answer machine. I’ll throw half-formed ideas at it, stress-test assumptions, and use it to rapid-prototype things I’d otherwise spend hours sketching. The back-and-forth is the point — it compresses the experimentation loop.
Operationalizing Ethics (Lesson 7)
I think AI ethics needs more visibility, not less — but the conversation has to stay practical. Ethics that just pump the brakes don’t help anyone. What I care about is building awareness into the process: knowing when AI output needs a second look, being transparent about when it was used, and making sure the tool serves the work rather than replacing the judgment behind it.
Personal Change-Management Strategy
I navigate rapid AI change by staying close to the news cycle and immediately testing whatever looks relevant in my actual work — not bookmarking it for later. My filter is simple: if it doesn’t hold up on security or forces me to re-explain my context every session, it doesn’t stick. Lovable cleared the first bar — fast, functional mockups with almost no setup — but it didn’t clear the second. The security gaps were real enough to matter, so I pivoted to React Native + Supabase where I own the stack. Right now I’m working with external AI tools on a free tier, which means token limits and no persistent context — I’m effectively re-onboarding the AI every time I open a new chat. That’s the gap WordPress’s native AI integration closes for me: it already knows my environment, the context carries across sessions, and I’m not fighting the platform to get meaningful work done.