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Tara Seshan suggests a disciplined approach to using AI for writing. Outsource tasks like summaries and status updates ('reporting'), but manually author strategy docs ('thinking') because the writing process itself is crucial for idea clarification.

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Instead of using single prompts like "write a blog post," build a custom AI "skill." Codify your entire creative process by breaking the task into sub-steps (e.g., research, synthesis, outlining), with human-in-the-loop approvals to guide the output and inject your unique taste.

The act of writing—structuring arguments, choosing words, and building a narrative—is a critical part of the thinking process. Relying too heavily on AI to generate text can cause you to skip this essential step of intellectual labor, resulting in weaker, less-developed ideas.

A powerful workflow is to explicitly instruct your AI to act as a collaborative thinking partner—asking questions and organizing thoughts—while strictly forbidding it from creating final artifacts. This separates the crucial thinking phase from the generative phase, leading to better outcomes.

To avoid mental decline from AI over-reliance, treat it like a workout tool. Intentionally struggle with the hard parts of a task first—like writing a first draft or doing initial research—before using AI to refine it. This builds cognitive muscle instead of letting it atrophy from disuse.

To avoid over-reliance on AI, adopt a two-tiered approach. For critical analysis or high-accountability decisions, formulate your own thoughts first. Then, use AI to challenge your assumptions and find what you missed. For the 80% of low-stakes, routine work, delegate it to AI to eliminate noise and increase focus.

The best use of AI in content creation isn't for writing the first draft. Instead, apply it to the tedious parts of the process you dislike, such as data processing, topic ideation, or even editing, to accelerate the path to a high-quality, human-created piece.

The process of writing is an invaluable tool for refining your ideas and achieving clarity of thought. Relying on LLMs to generate text for you bypasses this critical thinking process, ultimately hindering your own intellectual growth and ability to articulate complex concepts.

Shift away from the traditional model of drafting content yourself and asking AI for edits. Instead, leverage the AI's near-infinite output capacity to generate a wide range of initial ideas or drafts. This allows you to quickly identify patterns, discard unworkable concepts, and focus your energy on high-level refinement rather than initial creation.

The act of writing is not just about producing words; it's a rigorous process of structuring thoughts and building knowledge. Offloading this 'hard work' to AI conveniences away the cognitive benefit, turning people from active creators and thinkers into passive observers and editors.

Top performers don't use AI to produce more mediocre documents. Instead, they use the time saved to go deeper—aggressively interrogating AI output, fixing underlying logic, and having critical strategic conversations they previously skipped. This transforms generated 'slop' into exceptional work.