Hi, I’m Robert. I lead go-to-market AI at Canva. If you found your way here through my Clay talk, welcome.
When deciding where to invest in AI, I start with the work. Are you helping someone find an answer, producing a defined deliverable, supporting an ongoing workflow, or giving a system responsibility for a bounded process? Each asks something different of the team building it.
These guides explore the choices behind useful AI work.
An AI workflow can look useful in a demo and still be hard to fit into someone’s day. Start with the deliverable people need, where they need it, and how much work remains after AI has done its part.
What changes when AI can move a task forward? Follow the steps from gathering context to reviewing and completing work, including the permissions and checks that make execution possible.
The model is one part of a working AI system. This guide explains the tools, context and controls around it, and why those choices matter.
Pick one recurring task. Write down what “finished” means, who owns the result, and what still requires a person’s judgment. Then decide what evidence would justify giving AI more responsibility. That gives the next experiment a clear purpose.
I write about how businesses grow, useful AI tools and workflows, and developments worth knowing about. One useful email a week. Free to read.
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