From the hive
Notes from
live systems.
More from the archive — page 3 of 4. Real automation wins, integration scenarios, and lessons from building and running software.
Scale Shopify Uploads from 40 a Day to Thousands
For three months, this business grew at the speed of manual data entry, one product every twelve minutes. Our first deployment did not introduce complexity. It removed the constraint entirely. The Initial Problem The client operates a growing Shopify store supported by multiple suppliers. For three
Google’s Nano Banana 2 Raises the Bar for AI-Generated Imagery
Google has launched Nano Banana 2, the next iteration of its AI image generation and editing model. The release focuses on higher output quality, faster generation, and tighter instruction following, with broader availability across Google’s product ecosystem. The Nano Banana line sits within Google
How We Built an SVG Logo Animation That Will Never Repeat in a Lifetime
SVG animations often rely on repeated timelines. When multiple elements share identical or harmonically related durations, they drift into synchronised loops. The result is visual repetition that becomes noticeable over time. However we built an SVG logo animation that will never repeat, well not in
Using Chat GPT to create a LinkedIn Profile Picture
This one has a shout out to Ruben Hassid (pictured top left) where I came across this post about creating his profile image using AI, specifically Gemini and Nano-Banana Pro. I needed a profile picture refresh, so I decided to test the process myself. To make it more interesting, I used ChatGPT to c
Learn Claude with hands-on tutorials
If you want to move beyond basic prompts and start building reliable, high-value workflows with AI, structured learning matters. The tutorials on Claude’s resource hub are designed to take you from quick wins to more advanced, operational use cases across engineering, finance, healthcare, HR, life s
Can you Automate SEO, AEO, and GEO?
Content automation has shifted from experimental to operational. The question is no longer whether AI can produce content, but where it should operate autonomously and where it requires strategic oversight. The commercial risk is not in using AI. The risk is in misapplying it. As search evolves acro
The AI Firehose, Can We Handle the Pressure?
Have you ever heard of a zettabyte? Well one zettabyte equals a trillion gigabytes. That is roughly the equivalent of a trillion plain text books. By around 2012, the world had produced approximately one zettabyte of data in total. At the time, that figure felt vast. Today, it feels modest. From Dat
AI Agents Can Now Employ over Half a Million Humans – And No It’s Not a Sci-Fi Plot
In the relentless march toward full autonomy, artificial intelligence has hit an unexpected milestone: it still needs us. Badly. And it’s willing to pay hourly rates to get the help. Platform RentAHuman.ai has crossed the 500,000-human threshold, with the live counter showing 560,545 humans currentl
The Interface Shift: Why ChatGPT Wants to Own the Application Layer
Nick Turley’s framing of ChatGPT as an “operating system” should be understood as a platform strategy. Control of the dominant interface layer has historically determined where value accrues in the software stack. Desktop operating systems owned distribution. Browsers abstracted the OS and shifted p