Act as the AI manually until data volume justifies automation
When building AI-powered products, founders can manually perform the work the AI will eventually do. This generates training data, reveals edge cases, builds customer relationships, and validates that the automated version will deliver real value. The transition from manual to automated is gradual and data-driven.
When to use
When building an AI or data-driven product where you lack initial training data or domain-specific patterns
Don't do this
Waiting to launch until the AI is 'smart enough' instead of shipping manual operations that generate the data needed for automation
1 Founder Who Did This
Personally analyzed customer website data and wrote personalized copy recommendations by hand, acting as the AI engine until the customer base generated enough data for algorithmic recommendations.