Practical writing about artificial intelligence — what it can do, how to use it well, and what it means for the rest of us.
Most AI writing falls into two camps: breathless hype from people selling the future, or dense research from people studying it. Kindred Intelligence is neither. This site is written by a working IT professional who builds and maintains real systems, and who uses AI tools every day alongside code, compliance frameworks, and the other unglamorous stuff that keeps organisations running.
The writing here is grounded in actual use, not press releases. Reviews are based on months of daily work, not a quick demo. Guides are written for people who need to get something done. And when a tool has problems, or raises questions about cost, access, or who really benefits, those things get said clearly.
If you are looking for honest, practical thinking about AI, written for people who build things rather than people who invest in things, you are in the right place.
Reviews — Hands-on assessments of AI tools and platforms, tested over weeks and months of real use. Every review includes an honest verdict, pricing, and a clear sense of who the tool is and is not for.
Guides — Step-by-step resources for integrating AI into your work. Written for intelligent people who are not necessarily technical, with enough depth to be useful for those who are.
Blog — Analysis, opinion, and practical takes on where AI is heading and what it means for the people using it. No hype. No jargon without explanation. No pretending this technology is simple when it is not.
The Pentagon blacklisted Anthropic for refusing to remove safety guardrails. Hours later, OpenAI signed a deal with nearly identical red lines. The contradiction tells us everything about where AI ethics stands in 2026.
Companies are cutting jobs based on what AI might do, not what it actually does. Workers are paying the price for efficiency gains that have not materialised.
The endless 'which AI is best' debate misses the point entirely. The right AI tool is the one that fits your brain, your work, and your life.
AI pricing is subsidised, unstable, and not guaranteed to last. Building your workflow around a single vendor is a risk most teams are not thinking about.
Build a personal knowledge base that makes every AI conversation smarter. A practical guide to using Obsidian as your AI context and memory store.
The rush to adopt AI is leading teams to rip out systems that work. A smarter approach is to layer intelligence on top of what you already trust.
Most AI reviews are based on a demo. This one is based on a year of daily use across coding, strategy, compliance, and council work.
Text-based diagrams that live alongside your code and documentation. Mermaid is quietly essential for anyone designing systems with AI.
Every major technology follows the same arc, from novelty to advantage to expectation. AI is somewhere on that curve right now. The question is where.