AI & ML
Engineering notes on shipping AI that earns its keep: generative AI in the enterprise, ML-backed product features, model evaluation, and the operational work that turns a demo into something a business can rely on.
AI Coding Assistants in Production: 2026 Field Notes
AI coding assistants in production: what merges, what bounces, the review-bandwidth tax on senior engineers, and the four-step gate that keeps quality up without…
Vadim Leviev
AI & ML
4 AI Consulting Engagement Models for SMBs
Discovery sprint, roadmap retainer, fractional AI lead, outcome-based. The four engagement models small companies use to buy AI consulting in 2026, with rate bands…
Vadim Leviev
The Future of Generative AI in Business
Two years into mainstream generative AI, the wins are unglamorous and the failures are predictable. A grounded look at where AI actually pays back,…
Vadim Leviev
Human-Centred AI Moderation at Scale
Detection accuracy is the easy 60% of moderation. The other 40% — the part that decides whether your platform actually feels safe — lives…
Vadim Leviev
AI-Driven Web Development Tools That Actually Save Time
Where AI saves real engineering hours on web teams in 2026: scaffolding, accessibility checks, migration support, and documentation. And the four places it consistently…
Vadim Leviev
AI Co-Pilots for Productive Engineering Teams
A grounded take on getting AI co-pilots to earn their seat licenses. Where context-aware tools shine, what to standardise before adopting, and how to…
Vadim Leviev
Long-form posts, written by the people doing the work.
Not an SEO playground or a stream of short notes. Every article is a long-form, edited piece. We publish on a deliberate cadence and rewrite our drafts before they go out.