Working Well With AI Coding Assistants: Habits That Improve Code Quality
Concrete habits for getting better code from AI coding assistants: giving context, working in small steps, reviewing like a skeptic, and keeping tests in charge.
7 min read
The archive
Industry
Launches, platforms, adoption and the business of AI.
Choosing a Language Model for Your Product: A Criteria Checklist
A practical checklist for picking a language model for a real product, covering task quality, latency, cost, privacy, deployment options, and the risk of depending on a vendor.
8 min read
How to Scope Your First AI Project So It Actually Ships
A step-by-step way to pick, frame, and bound a first AI project so it reaches real users instead of stalling as a promising demo that never leaves the pilot stage.
9 min read
Practical AI Use Cases for Small Businesses (and the Ones to Skip)
Where AI tools genuinely save time in a small business, where they quietly create risk, and a simple way to decide which tasks are worth handing over first.
8 min read
Measuring the ROI of AI Projects Without Fooling Yourself
How to estimate what an AI project actually returns: honest baselines, full costs, the price of errors, and comparisons that separate real gains from wishful accounting.
7 min read