
Original document
GPT Image 2 · en
{
"type": "Enterprise Presentation Slides",
"theme": "High-tech, futuristic, dark mode, glowing neon blue and purple accents, abstract digital particle wave background",
"header": {
"title_primary": "{argument name=\"main chinese title\" default=\"Business impact\"}",
"title_secondary": "{argument name=\"main english title\" default=\"Business Impact\"}",
"tagline": "{argument name=\"tagline\" default=\"Let the data speak for itself, and let the results prove its value.\"}"
},
"layout": {
"left_section": {
"type": "Line chart",
"title": "Efficiency and Capacity Improvement Trends",
"y_axis": [
"0%",
"100%",
"200%",
"300%",
"400%",
"500%",
"600%"
],
"x_axis": [
"Q1",
"Q2",
"Q3",
"Q4",
"Now"
],
"lines": [
{
"label": "Delivery efficiency (relative value)",
"color": "Neon Blue",
"trend": "Ascending curve",
"annotation": "Efficiency continues to improve"
},
{
"label": "Unit cost (relative value)",
"color": "Neon Purple",
"trend": "Descent Curve",
"annotation": "Costs decreased significantly"
}
]
},
"right_section": {
"type": "KPI grid",
"count": 4,
"arrangement": "2x2 grid",
"cards": [
{
"icon": "Rocket",
"title": "Efficiency improvement",
"value": "{argument name=\"kpi 1 value\" default=\"+120%\"}",
"subtext": "Delivery efficiency significantly improved"
},
{
"icon": "Coin with a downward arrow",
"title": "Cost reduction",
"value": "{argument name=\"kpi 2 value\" default=\"-200%\"}",
"subtext": "Unit delivery cost decreased"
},
{
"icon": "Bar chart with upward arrows",
"title": "Capacity increase",
"value": "5 times",
"subtext": "The team's overall productivity has increased significantly."
},
{
"icon": "crowd",
"title": "Coverage Team",
"value": "10",
"subtext": "Benefits of scaling up business teams"
}
]
}
}
}How to use
- Copy the complete original prompt, including any parameters.
- Replace the subject, text and composition with your own requirements.
- Use a compatible external tool; check its current access conditions and review the result.
Before you start
- Check whether a reference image is required. A compatible model label does not mean this example was generated with that model.
- Keep names, figures and visible text accurate; results can vary between model versions.





