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Prompt Details

Model
(gemini-3.5-flash)
Token size
662
Example input
[raw_e_commerce_data]: 14:22:05 POST /api/v1/coupon/apply 422 (Unprocessed Entity) - "coupon_expired". User ID 8842 stayed on /checkout page for 180 seconds scrolling back and forth near div.coupon-wrapper.
Example output
{ "target_url_pattern": "/checkout", "trigger": { "type": "api_error", "condition_meta": "422_coupon_expired" }, "ui_mutations": [ { "element_selector": "div.coupon-wrapper", "action": "inject_html", "payload": { "content_html": "<div class='discount-alert'>⚠️ This coupon has expired, but we've applied an automatic 5% off code <strong>WELCOME5</strong> just for you!</div>", "attributes": {}, "css_override": { "border": "2px solid #ef4444", "background-color": "#fef2f2", "padding": "12px", "border-radius": "6px" }, "delay_ms": 200 } } ], "analytics_tracking": { "root_cause_analysis": "User got stuck after a 422 error from an expired coupon code, halting progress.", "severity_score": "high", "estimated_recovery_probability": 0.85 } }
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GEMINI-3.5-FLASH
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The concept: A system prompt that tightly integrates analytics with data structure. An entrepreneur feeds the AI ​​a raw error log exported from the website or a dataset on customer behavior (e.g., who abandoned their cart and at what stage). What the AI ​​does: It parses this data strictly according to established rules and outputs—not just text—but a perfectly valid JSON configuration file for UI/UX elements. This file specifies exactly which website sections to hide and which prompts to disp
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Added 2 weeks ago
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