Collaboration Patterns (Tool, Advisor, Co-Creator)

How you think about the AI's role fundamentally shapes how you work with it. Three patterns cover most human-AI collaboration. In the tool pattern, AI is a sophisticated instrument that you direct entirely - you decide what to do, and the AI helps you do it faster or better. Autocomplete, grammar checkers, and code formatters work this way. In the advisor pattern, AI analyses situations and makes recommendations that you evaluate and act on - think diagnostic support, risk scoring, or strategic analysis tools. Here, the AI has more autonomy in generating its perspective, but you retain decision authority. In the co-creator pattern, human and AI contribute more equally to the output - collaborative writing, design generation, or brainstorming where the AI's contributions genuinely shape the direction. Each pattern implies different levels of trust, different oversight needs, and different skill requirements. Problems arise when there's a mismatch between the pattern in use and the pattern people assume - when an advisor-level system is treated as a tool (ignoring its recommendations) or as an autonomous decision-maker (following its recommendations without evaluation).