From the hive
Notes from
live systems.
Real automation wins, integration scenarios, and lessons from building and running software — including the hours we save along the way to a million.
TurboQuant: Engineering Around Limits
AI hasn’t been limited by intelligence for a while. It’s been limited by what it costs to run. Bigger models demand more memory, and more memory demands more hardware. At a certain point, progress stops looking like engineering and starts looking like procurement. Then something like TurboQuant shif
What is the best AI for Coding in 2026?
There isn’t a shortage of AI coding tools anymore. If anything, the problem has flipped. Too many options. Too much noise. Every platform claims faster output, cleaner code, better reasoning. Most fall apart under real project pressure. The tension is simple. Coding with AI is no longer about genera
The CEO With an AI Shadow: Zuckerberg’s Quiet Bet on Automated Leadership
Mark Zuckerberg is no longer just pushing AI into Meta’s products. He is inserting it into his own role. The idea is simple on the surface. Build a personal AI agent that can surface information instantly, compress decision cycles, and remove the need to route questions through layers of management.
Claude Dispatch Has Arrived – And It Changes How AI Agents Actually Work
Claude Dispatch has arrived quietly, but it changes something fundamental about how AI agents are actually used in practice. For the past year, the promise has been clear: autonomous agents that can run tasks, manage workflows, and replace large chunks of repetitive work. The reality has been messie
Digital Optimus: Elon Musk’s Plan to Turn AI Into a Real-Time Digital Workforce
Elon Musk has never been shy about ambitious AI claims, but Digital Optimus might be one of the most consequential yet. The concept is straightforward on the surface: build an AI system that can operate software the same way a human does, moving the mouse, reading the screen, making decisions, then
Human in the loop or Human in Charge?
Automation teams eventually arrive at the same fundamental design question: who starts the process? Should a system run independently and request approval only when something unusual occurs, or should a human initiate the action while automation serves as acceleration and verification? Both models e
Is Groq the Ultimate Free AI for Automation?
Groq is emerging as a powerful free AI option for automation workflows. We explore how it performs inside self-hosted n8n, n8n Cloud, Make, and Zapier, and whether its speed and zero-cost inference make it a serious alternative for AI-driven automation.
Automated Chaos
Most teams do not fail because they lack automation. They fail because they automate instability. AI tools are purchased. Workflows are wired together. Sales sequences are pushed live. On paper, the system looks efficient. In practice, it amplifies whatever was already there. If your qualification c
Your Job is being Repriced by AI
Comforting slogans travel fast. “AI won’t take your job” is one of them. It implies stability and continuity, and assumes the labour market will adjust slowly. It will not. When Jack Dorsey announced that Block would cut roughly 40 percent of its workforce, the company was not collapsing or fighting
Are We Stuck in an AI Adoption Lag Paradox
AI capability is compounding at speed. Product releases are measured in weeks, not years. Benchmarks improve. Interfaces become simpler. Costs fall. Yet inside most organisations, usage remains shallow. People default to rewriting emails in ChatGPT. They ask Copilot to summarise a document. They gen
Websites Are Dead. Again.
We’ve heard the same narrative for decades. Each wave arrived with the same prediction, the browser would fade, domains would matter less, and businesses would move somewhere new. 1995, the internet is a fad. 2010, apps would replace websites. 2015, social media would become the website. 2020, commu
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
Everyone starts at Zero. And that’s the Point.
Transparency starts with an honest baseline. Today the counter reads exactly zero. Zero hours recovered. Zero customers. Zero revenue. Zero social media posts. Zero following. …and this blog post. No inflated launch metrics. No artificial traction. No vanity screenshots. Just zero. And that is exact