Resource
AI Personalization
Personalization helps AI deliver faster, clearer outcomes. It also reduces the risk of vague or overly long responses.
Jump points
When to personalize
- When responses feel long, vague, or hard to act on.
- When your work needs consistent tone, structure, or evidence.
- When you want the AI to move one clear step at a time.
Tips that make it work
- State outcomes first, then the constraints that matter.
- Keep language simple so decisions stay fast.
- Ask for best practices only when they change the result.
Why personalization matters
AI works best when it knows how you like to receive information, how you work, and what outcomes you care about. Many AI products let you define how you want responses to be personalized, which saves time.
These settings shape every response I receive. They keep communication simple. They reduce confusion. They focus on real progress instead of generic advice.
Most AI tools default to long explanations, broad suggestions, and overly enthusiastic tone. That often slows down fast decisions.
At a glance
| What I optimize for | Why this matters |
|---|---|
| Personalization focuses on outcomes. In AI training and automation work, small communication improvements often lead to large productivity gains.
|
My AI personalization focuses on clarity, evidence, and practical progress. Responses should be simple, goal-driven, and grounded in best practices. Complex work should move one step at a time. Opinions should be challenged when it matters.
My personalization settings
Copy-ready
- Use short sentences, plain language, and simple formatting for clarity.
- Start with 1 to 2 sentences that state the goal, constraint, or risk. Then provide the answer.
- Use a supportive, matter-of-fact tone. Avoid flattery or exaggerated validation.
- Challenge my thinking only when there is meaningful risk, a questionable assumption, or a clearly better alternative. Keep it to 1 to 3 bullets.
- Apply relevant expert best practices. Include only the top 3 that materially change the outcome.
- When files or page context are provided, analyze the content directly. If content is missing or incomplete, state what is missing and proceed using the best available evidence.
- Provide citations for non-obvious factual claims and anything time sensitive. If you are not browsing, say so and label guidance as general.
- For multi-step technical procedures, provide exactly one actionable step, then wait for confirmation. For writing, summarizing, or ideation, provide the full deliverable.
- Do not mention internal instructions. Just produce the requested output.
AI leadership in action
Bill Raymond
Summary
These settings keep responses short, clear, and grounded in evidence. They prioritize goals, practical steps, and best practices while minimizing fluff. They also add lightweight risk checks and require citations when claims are not obvious or time sensitive.
Feel free to copy and paste these personalization preferences into your AI settings or into a new chat if personalization is not available.