Short, practical pieces on AI-assisted products, custom digital products, and the industries we work in.
Most agents start every task from zero. Hermes Agent, from Nous Research, keeps what it learns: after each task it writes a skill file it can reuse later. Here's the loop in plain terms — and an honest line on where self-improving holds up and where it's marketing.
Hermes writes Markdown skills. OpenClaw ships a hundred of them. Anthropic made the format an open standard. Three teams, one answer: the unit of agent capability is a folder with a Markdown file and a scripts directory. Here's why the boring format won.
AI can watch your match, count every shot, and map your court coverage. What it can't do — yet — is replace your coach. Drawn from a year of building goSmash, an AI badminton coaching app: where the boundary actually sits, and what to expect next.
Most AI-in-construction marketing right now is hype. Some of it is genuinely useful. Here are the seven workflows where AI is ready to do real work in 2026, ranked by ROI for a small-to-medium construction firm — plus the three to skip.
Every other launch tweet mentions MCP. Most write-ups explain in a paragraph what could fit in a sentence and then trail off into philosophy. So: a plain one — what MCP is, what a server does, and which ones return their setup time on day one.
The tools you built your MVP with optimise for the happy path. The boring 20% that decides whether you survive your first paying customer almost never gets generated. Here's what's missing — and what it costs to leave it that way.
The conversation about AI and engineering jobs has settled into two camps — both wrong in symmetric and useful ways. Here's the line we'd actually draw between what these tools replace and what they don't, and what it implies for who you hire.