Requirements practice
Teams learn to describe the job, context, constraints, and acceptance criteria before asking an agent to work.
Answer-first overview
TrainedToThink teaches teams to use AI agents by working from their own processes, source material, and decisions. The workshop centers on where agents help, how to write clear instructions and requirements, and how humans should review the work before it becomes operational.
Design a course blueprint Book a 20-minute fit callThis is a hands-on workshop for operators, managers, and business teams who need to turn fuzzy AI interest into requirements, workflows, review habits, and useful internal app ideas.
Teams learn to describe the job, context, constraints, and acceptance criteria before asking an agent to work.
The workshop emphasizes evidence checks, ownership, and judgment instead of blind automation.
Examples are tuned around your domain, source material, and operational pain points.
Teams map recurring briefs, reports, intake flows, dashboard needs, handoffs, and review-heavy tasks.
Participants practice giving agents the policies, examples, constraints, and success criteria that make output useful.
The course emphasizes evidence checks, judgment, workflow fit, and clear ownership instead of blind automation.
Operations, finance, HR, legal, IT, administrative, and leadership teams that need to understand AI-agent work before choosing tools, vendors, or internal pilots.