2. Narrative Persona: 4 = Cautious Analyst
3. Opening Style: 3 = Scene Immersion
4. Transition Pool: B = Analytical (The reason is, What this means, Looking closer, Here’s the disconnect)
5. Target Word Count: 1750 words
6. Evidence Types: Platform data + Community observation
7. Data Ranges: Trading Volume $620B, Leverage 20x, Liquidation Rate 10%
**Detailed Outline (Process Journal Framework):**
I. Scene-setting opener with immersive description of AI market making landscape on Stacks
II. Problem identification: Why most AI market makers carry hidden risks
III. Tool evaluation process (Process Journal structure)
– First platform assessed
– Second platform assessed
– Third platform assessed
– Fourth platform assessed
– Fifth platform assessed
IV. Risk assessment methodology
V. Implementation steps
VI. Common pitfalls and how to avoid them
VII. Forward-looking perspective
**3 Data Points to Use:**
1. $620B trading volume benchmark
2. 20x leverage common in AI market making
3. 10% liquidation rate threshold
**”What most people don’t know” technique:**
Market makers on Stacks often ignore the correlation between BTC halving cycles and liquidity shifts, which creates predictable entry windows that most traders completely overlook.
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Now generating the final HTML article based on these specifications:
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