what do you think is a high value space to get into right no...
User seeks advice on high-value opportunities in the AI agent space, specifically for their education platform promptutorial.com. Claude recommends doubling down on agent-native education and provides detailed strategies for solving the creator cold-start problem without upfront capital.
what do you think is a high value space to get into right now with the rise of autonomous ai agents like clawdbot
Claude systematically breaks down six high-value spaces in the AI agent ecosystem: 1) Agent infrastructure (auth, observability, communication), 2) Human-in-the-loop orchestration (approval workflows, trust layers), 3) Domain-specific frameworks (vertical specialization), 4) Agent-native education (teaching effective agent usage), 5) Evaluation and testing (benchmarking reliability), and 6) Agent marketplaces (distribution platforms). Claude then personalizes the recommendation based on the user's existing platform (promptutorial.com), suggesting that agent-native education offers the highest leverage given their existing infrastructure and the low quality bar of current content in this space.
A comprehensive strategic analysis identifying six opportunity spaces with detailed explanations of each. The response concludes with a personalized recommendation: 'The highest-leverage move is probably doubling down on agent-native education — tutorials on building, deploying, and supervising AI agents. The demand is massive, the content quality bar is still low across the industry, and you already have the platform infrastructure.' Claude ends with an invitation to explore any angle deeper.
but for education platforms to work, I need great creators to start making tutorials. How do I do this without money?
Claude correctly identifies this as a 'cold-start marketplace problem' and provides a strategic framework of six actionable tactics: 1) Be the first creator (10-20 tutorials to prove format and set quality bar), 2) Target creators who need distribution over money (new YouTubers, Twitter builders), 3) Make publishing stupidly easy (lower friction than alternatives), 4) Revenue share model (80/20 or 90/10 split), 5) Co-create with builders (offer to handle editing/formatting), and 6) Leverage the AI agent wave (help builders establish early authority). Claude emphasizes focusing on quality over quantity (3-5 good creators > 100 mediocre ones) and building personal relationships. The analysis demonstrates understanding of marketplace dynamics and bootstrap strategies.
Six concrete, actionable strategies for attracting creators without capital: self-seeding content, targeting distribution-hungry creators, reducing friction, revenue sharing, co-creation partnerships, and timing leverage around the AI agent trend. Key insight: 'You don't need 100 creators. You need 3-5 really good ones making consistent content. Focus on personal relationships over scale at this stage.' Claude concludes with an offer to help streamline the creator onboarding flow, demonstrating continued engagement and problem-solving orientation.
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