The workforce has moved beyond text-only work
Why screen recordings, voice notes and smart glasses are becoming normal business inputs, and why AI models need to handle them directly.
Plain-English notes on where agents fit into business processes, how they use existing systems and where people remain in control.
Why screen recordings, voice notes and smart glasses are becoming normal business inputs, and why AI models need to handle them directly.
What the OpenAI and Anthropic security incidents teach us about permissions, monitoring and putting agents near real systems.
Why impressive AI demonstrations often fail to become useful everyday work, and what has to exist between the model and the result.
Why extra agents help with bounded research and review, but often add cost and noise to the main work.
Why access to tools, permissions and approval points matters.
How to identify a bounded process before planning a larger AI programme.
Where an agent can support an existing system, and where it needs to stop.