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AI as Junior Employee Mental Model

Think of AI tools as junior employees who need proper training, clear instructions, appropriate context, and gradual skill development rather than as magic solutions that should work perfectly immediately

Decision Rule

When implementing AI, ask: 'How would I train and manage a smart but inexperienced employee to do this task?' Then apply the same principles to AI configuration

How It Works

This model works because it sets appropriate expectations for AI capabilities and limitations while providing a framework for effective AI training through clear instructions, examples, and feedback

Failure Modes

Expecting AI to read your mind like an experienced employee would

Providing either too much or too little context/training

Not iterating and improving AI instructions based on outputs

Abandoning AI after initial subpar results instead of investing in 'training'

Example Decision

Instead of asking AI to 'analyze this data and give insights,' you provide specific frameworks, example analyses, and clear definitions of what constitutes a useful insight, just as you would when training a new data analyst

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