How they work, why they matter, and what you should know before building one AI agents are quickly becoming one of the most talked-about developments in applied AI. But despite the buzz, many people are still unsure what an “agent” actually is or how it differs from a standard large language model (LLM) prompt. This … continue reading
Every now and then a new technology arrives that completely breaks the assumptions of the world around it. Not gently. Not politely. Not in a way that leaves existing workflows intact. It shows up like an unexpected guest who kicks the furniture out of the way and sits down wherever it likes. That’s what GenAI … continue reading
As AI agents become more autonomous and take on increasingly complex tasks, adaptive learning becomes a core requirement. Adaptive learning is the ability to update behaviour based on new information. While model fine-tuning used to be the dominant mechanism for adaptation, modern agent architectures allow for more flexible and lightweight options that work in real … continue reading
I’ve recently been working on an agentic fraud alert review system for a bank, where our agent monitors transaction alerts and reviews the transaction against context of the bank account as well as any open source intelligence it can gather. The agent system started as a chat interface – where users could ask questions and … continue reading
“Enterprise AI strategy” is something you’d find on a consultant’s slide deck with lots of arrows, maybe a few buzzwords, and a roadmap that stretches into some hazy, futuristic quarter where everything just “works.” But in reality, the organisations making the most meaningful progress with AI aren’t following 100-slide strategies. They’re building small, scrappy, useful … continue reading
Sangeet Paul Choudary has written an interesting piece on The problem with agentic AI in 2025. The article argues that while agentic AI (systems that act autonomously rather than simply assist) holds great promise, many organisations are ill-prepared for its demands: governance, data quality, and clarity of purpose. He says they risk doing more harm … continue reading
I have reviewed about 100 product designer portfolios in the last couple of weeks for 2 open midweight product designer roles we have at Faculty. I want to help product designers get jobs. These 100 portfolios are after we have filtered out people who have applied who do not fit the criteria, i.e. the criteria … continue reading
In large consulting projects and enterprise AI programs, too many AI and data science projects follow the same unhelpful pattern. A team of data scientists works for months in notebooks, training and tuning models, carefully optimising precision, recall, and accuracy. Eventually, the results are presented: metrics are up, charts point in the right direction, and … continue reading
Back in the early days of building apps, when we were still deploying things with FTP and debugging with alert(), one of the most thrilling moments was just watching someone use your thing. Not a simulated user, not a test suite, but a real human being poking around, getting confused, lighting up when something worked, … continue reading
The other night, I built a working app prototype in a single sitting to transform json into a format I wanted. Just prompts and a few tweaks. It kind of blew my mind. It got me thinking about how people are learning to code these days and it feels like something different is happening. There’s … continue reading