Five years of getting AI wrong

Illustration titled “Five years of getting AI wrong.” A winding, ascending stone pathway shows stages of AI use: 1) Prompt engineering—craft the input, get the output; 3) Vibe coding—describe an application and receive working code; 4) Agents and orchestration—chain tools and automate workflows; and 5) Goal-directed AI—describe the desired outcome and let AI determine the steps. People work at laptops along the path, while a woman in the foreground looks toward a bright summit labeled, “What are we actually trying to do?”

Our first experience of AI began with documenting AI systems in the early 2020s. One product guided banking customers using spoken interactions through a decision tree, and another vectorised data. We thought we understood what AI did, and where it could be used. Then, in 2022, OpenAI released ChatGPT. In five days, ChatGPT had a… Read more »

What tools like Claude Code and OpenAI Codex actually mean for L&D teams

For years, the job of a Learning and Development team was to make things: slide decks, PDF guides, LMS modules. You wrote content, packaged it, uploaded it, and hoped people clicked through it. The output was always static. The feedback loop was slow. That’s changing, and the change is more specific than “AI is transforming… Read more »

The EU AI Act: What it means for your documentation workload

On 2 August 2026, the EU AI Act’s main enforcement phase begins. For organisations developing or deploying AI systems in the European market, documentation is a legal requirement. Here’s what it might mean to your workload. Does it apply to you? The Act applies to both providers and deployers Providers are organisations that build AI systems… Read more »