$ tail -f blog.log▋
Field notes on AI that actually works
Trends, problems, certifications, and the occasional opinionated take, written from client work, not from a content calendar.
- AI trends5 min read
How to actually keep up with AI (without the doom-scrolling)
A filtered, non-hype way to track what's changing: a handful of sources worth the attention, and the noise that's safe to skip.
- Responsible AI6 min read
The environmental cost of AI (and what gets done about it)
AI's climate footprint is real, and rarely mentioned by the companies selling it. Here's where it comes from, and what changes when you take it seriously.
- AI trends6 min read
What's production-ready in AI automation right now
A field guide to what's solid, what's hype, and what quietly breaks in week two, once the demo's over.
- Problems with AI7 min read
Where AI automation breaks (and how to catch it first)
Real data is messier than demo data. The gap between the two is where most automation projects quietly fail.
- AI certification5 min read
AI certifications worth your time in 2026 (and the ones that aren't)
A practical, opinionated shortlist for people deciding where to spend the hours, not a ranked listicle of everything with a certificate at the end.
- AI education6 min read
Bringing AI automation into education: what works
Schools and ed-tech teams have some of the most repetitive administrative work around, and some of the tightest constraints on getting it wrong. Here's the honest version.