## Summary The value proposition of training content shifts from human skill acquisition to agent capability development. In an AI-first world, courses become training data for agents, with practitioners supplying expertise that agents encode and execute. ## Core Concept **Traditional positioning**: "Learn a skill to do it yourself" **Agent-first positioning**: "Train your agent to do it for you" **The shift:** - Content is consumed by humans but applied by agents - Expertise is valuable as agent-training material, not just personal development - Practitioners with real-world experience become the source of reliable agent knowledge - "Reddit randos" are insufficient—agents need practitioner-validated workflows Content categories that translate to agent training: - Substack growth strategies - Tax filing procedures - Keyword research methodologies - Google Ads campaign management - Legal document preparation - Financial modeling > "Teach your agent how to grow on Substack, file your taxes, do keyword research, run Google ads, etc." — Daniel Vassallo/Phil Millerd ## Cross-Domain Applications ### Education Technology Course platforms should evolve to include agent-readable formats (structured workflows, decision trees, tool integrations) not just video lectures. ### Professional Services Lawyers, accountants, and consultants can package expertise as agent capabilities—productizing knowledge work into scalable, automated services. ### Corporate Training Internal training shifts from employee education to agent capability building. The ROI is measured in automated task completion, not hours trained. ### Self-Improvement Personal development content becomes agent configuration—setting up AI systems that embody the practices taught (meditation reminders, workout planning, learning schedules). ### Software Documentation Technical docs increasingly target AI agents as primary consumers. API documentation must be machine-parseable, not just human-readable. ## Implementation Considerations **For content creators:** - Structure content as workflows, not just information - Include tool integrations and API calls - Validate against real-world execution - Position as "agent training" in marketing **For consumers:** - Select content based on practitioner credibility - Prioritize procedural over conceptual material - Expect to iterate agent configurations, not just learn ## Risks and Limitations - Early market—unclear monetization models - Quality control harder with automated execution - Liability questions when agents make decisions based on training - Potential commoditization of expertise as agents proliferate ## References - Source: [[If I were making online courses today, I'd position them...]] (Lines 14-18) - Related: [[AI-Assisted Development]], [[Knowledge Work Automation]], [[Agentic SaaS]]