Role-specific AI playbooks beat generic prompting sessions, argues engineering leader

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A DEV Community post argues that generic introductory prompting sessions waste time because teams quickly revert to old habits after the initial enthusiasm fades. The author proposes role-specific AI playbooks instead, using an example of a QA team that uses AI to generate edge-case test cases and verifies the output with a checklist. According to the post, an effective playbook has three components: explicit criteria for when to use or avoid AI, tailored templates and context setups, and a verification checklist for known model blind spots. The author concludes that teams should learn how AI applies to their specific jobs rather than how AI works in general.

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