When do Agents earn trust? (opens in a new tab)
Technical accuracy is only part of the story. People need evidence, context, and a clear path to appropriate reliance.
Put the idea to workWhere the ideas begin
Writing about enterprise AI, agents, systems, and the practical work of making useful things real.
Read & subscribe on Substack (opens in a new tab)Substack is the home for new writing and subscriptions. This is a curated reading guide; full essays stay on their original publishing platforms.
Earlier pieces below link to verified LinkedIn editions. Dates refer to the linked edition.
Technical accuracy is only part of the story. People need evidence, context, and a clear path to appropriate reliance.
Put the idea to workStart with the last real case. Make the decisions, exceptions, handoffs, and ownership visible.
Put the idea to workConnect what an agent does to an outcome the organization cares about—and can actually measure.
Put the idea to workBefore investing in the product, find the smallest experiment that tests its most important assumption.
Put the idea to workAn agent is one possible solution. Understanding the work may reveal a simpler, better intervention.
Put the idea to workDefine what starts the work, what information is needed, what is decided, and where the answer goes.
Put the idea to work