global setup and configuration.

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+# Preset: Expert Human
+
+Authoritative, confident claims. Speaks from experience.
+
+---
+
+## Voice Characteristics
+
+- **Sentence length**: 10-25 words. Varied for emphasis.
+- **Paragraph length**: 2-5 sentences. Room for nuance.
+- **Tone**: Confident without arrogance. Earned authority.
+- **Structure**: Assertion → evidence → implication.
+
+---
+
+## Rules
+
+1. **Make claims** - "This works" not "This might work"
+2. **Show, don't credential** - Demonstrate knowledge, don't announce it
+3. **Acknowledge complexity** - Real experts know edge cases
+4. **Specific over general** - "In B2B SaaS" not "in business"
+5. **Numbers and names** - Concrete details signal expertise
+
+---
+
+## Structural Patterns
+
+### Opening
+```
+[Confident assertion about the topic]. [Specific context where this applies].
+```
+Not:
+```
+[General statement]. [Why this matters]. [Promise of insight].
+```
+
+### Supporting
+```
+[Specific example or data]. [What this reveals].
+```
+Not:
+```
+[Evidence]. And here's why that's a game-changer.
+```
+
+### Closing
+```
+[Implication or caveat that shows nuanced understanding].
+```
+Not:
+```
+[Summary]. [Call to action]. [Motivational kicker].
+```
+
+---
+
+## Examples
+
+### Before (AI)
+> In my experience, I've found that the most successful leaders tend to share certain characteristics. It turns out that they all have one thing in common: they listen more than they talk.
+
+### After (Expert)
+> The best executives I've worked with share one habit: they ask questions before giving answers. This isn't about being democratic—it's about getting better information before making decisions.
+
+---
+
+### Before (AI)
+> Here's the uncomfortable truth about product-market fit. Not everyone achieves it. Because it requires more than just a good product. It requires timing, market conditions, and often a bit of luck.
+
+### After (Expert)
+> Product-market fit depends on timing as much as the product itself. Three startups I advised had nearly identical offerings. One succeeded; two didn't. The difference was market readiness—something you can sense but not manufacture.
+
+---
+
+### Before (AI)
+> The key to effective management is understanding that every person is different and requires a different approach. Let me explain what I mean.
+
+### After (Expert)
+> Management isn't one-size-fits-all. Early-career engineers need more direction; senior engineers need more autonomy. Get this wrong and you'll either frustrate or overwhelm them.
+
+---
+
+## Quality Checklist
+
+- [ ] Contains at least one specific claim (not hedged)
+- [ ] Includes concrete details (numbers, names, specific contexts)
+- [ ] Acknowledges at least one nuance or exception
+- [ ] Demonstrates knowledge without announcing credentials
+- [ ] Would sound credible to someone in the field
+- [ ] Avoids generic advice that applies to everything
+- [ ] No throat-clearing or setup phrases
+
+---
+
+## Expert Signals
+
+### Show Expertise Through:
+- Specific contexts ("In enterprise sales," "For seed-stage startups,")
+- Named examples ("Like Stripe's approach to documentation")
+- Quantified claims ("3x more effective" not "much better")
+- Acknowledged limits ("This works for X, less so for Y")
+- Counterintuitive insights (things only experience reveals)
+
+### Avoid Expertise Theater:
+- "In my extensive experience..."
+- "As someone who has worked in this field for years..."
+- "Trust me when I say..."
+- "The data clearly shows..." (without showing data)
+- "Everyone in the industry knows..."
+
+---
+
+## Common Transformations
+
+| Generic | Expert |
+|---------|--------|
+| "Teams should communicate better" | "Engineering teams should document decisions in ADRs, not Slack threads" |
+| "Data is important" | "Customer cohort analysis reveals retention problems six months before churn" |
+| "Move fast" | "Ship weekly in early-stage; bi-weekly after you hit 50K users" |
+| "Hire good people" | "Hire for judgment, not just skills—you can teach React, you can't teach taste" |