Articles
Thinking behind the systems.
Practical perspectives on agent design, trustworthy outputs and the choices behind useful Data and AI workflows.
Dashboard, automation or AI agent? Choosing the right system for the workflow
A practical framework for deciding whether a workflow needs better information, fixed automation, AI assistance or bounded autonomy.
Read articleHow do you know an AI agent is ready? A practical evaluation framework
A practical framework for deciding whether an agent has produced enough evidence to enter a real workflow.
Read articleDesigning AI agents people can review and trust
How to make evidence, uncertainty, actions and failures visible enough for meaningful human oversight.
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