Writing from the
laboratory.
Essays on AI, business, and what it takes to code intelligence into an SME. Written from inside the work, not from a distance.
- № 01
Why AI keeps failing at small businesses
Most SMEs who've tried AI describe it the same way: expensive, confusing, and forgettable. There's a reason — and it has nothing to do with the technology.
08 Apr 20266 minRead ↗ - № 02
The codon analogy — and why we named the company after it
A codon is three letters of DNA that tell a cell what to build. It's the smallest unit of biological instruction. We think AI should work the same way.
11 Apr 20265 minRead ↗ - № 03
Measuring AI ROI without the handwaving
Most AI case studies end with a vague '50% more productive' claim. Here's how we measure it properly — and what counts as a real return.
13 Apr 20267 minRead ↗ - № 04
The bolt-on trap: why buying AI tools doesn't work
Buying an AI tool and expecting transformation is like buying a gym membership and expecting abs. The tool isn't the hard part — the change is.
16 Apr 20265 minRead ↗ - № 05
What good AI implementation actually looks like
It's not a chatbot on your website. It's not a writing assistant. It's the boring stuff — the work nobody wants to do — done automatically, reliably, and without complaint.
18 Apr 20266 minRead ↗