Four clusters. Written to be used.
Hub-and-spoke, not a scattered blog. Each cluster answers one kind of question a global, English-reading audience actually searches for.
Latest
What actually breaks when you let an agent run unattended
nanogent.ai exists to find this out in production, not in a sandbox. Here's what actually fails when nobody's watching, and what to build before you let that happen.
The one AI risk question most leadership teams skip
Most AI risk conversations focus on data privacy and model bias. The question that actually causes incidents is simpler, and almost nobody asks it before launch.
The content workflow that kept our voice, not the model's default one
Left unchecked, AI drafting drifts towards the same vague, enthusiastic tone every other brand ends up with. Here's the workflow that stopped that happening to our own content.
Claude Code for people who have never opened a terminal
The terminal is the single biggest barrier stopping non-technical business owners from building their own tools. Here's what it actually is, without the jargon.
A simple way to test if an AI agent workflow will survive real customers
Most agent demos are tested against clean inputs. Here's the test that actually matters: what happens when a real customer types something badly, at the worst possible time.
How to build an AI roadmap without a framework deck
Most AI strategy decks are a maturity matrix with your logo on it. Here's a shorter, more honest way for a leadership team to actually prioritise AI use cases.
AI SEO and GEO: what changed once answers get generated, not just linked to
Ranking used to mean earning a blue link. Now half your audience never clicks through at all. Here's what that actually changes about how you write and structure content.
Why 'autonomous AI agent' is mostly marketing, not a feature
There's no product today that plans, decides and acts without a human checking its work. Here's what's actually running behind the demos, and why that's still useful.