For a while, most AI use at work was comparatively low risk. People asked a chatbot to carry out tasks such as summarise a meeting or rewrite an email. If the answer was weak, a human caught it. If it was wrong, little happened. It looks like that stage has ended or is ending. We’re… Read more »
Category: AI
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 »
Take part in our 2026 survey into the adoption of AI in technical communication
Since 2023, Cherryleaf has been conducting an annual survey into the use of AI in technical communications. The aim is to help people see what has changed over time, and how quickly or slowly things are changing. We publish the findings each time on our blog. We’ve just opened the 2026 survey, and we”d like… Read more »
We tested Google Gemini’s new Omni model to create a promotional video. Here’s what we found.
Google describes Omni as “Nano Banana for video”. This means a single AI model handles text, images, and audio together. Previously, Google used separate models for each, which limited consistency and made editing across multiple clips difficult. With Omni, you can edit and remix videos through natural conversation. For example, you can tell it to… Read more »