Image ChatGPT Image 2.5
AI engine builds four viral infographics with researched data
A 2x2 grid of premium vertical infographics, each generated by an AI engine that researches and visualizes viral topics like iPhone 18 costs.
Prompt
2x2 grid, 16:9, do research do this for cost of iPhone 18 and 3 other viral topics: class ResearchDrivenInfographicEngine:
def __init__(self, topic):
self.topic = topic
self.research = conduct_research(
topic,
source_types=[
"official data",
"academic papers",
"industry reports",
"primary sources",
"credible journalism",
"technical documentation"
]
)
self.topic_structure = infer_topic_structure(topic, self.research)
self.visual_layout = choose_best_layout(self.topic_structure)
self.dimensions = infer_dimensions(topic, self.research)
self.metrics = infer_metrics(topic, self.research)
self.tradeoffs = infer_tradeoffs(topic, self.research)
self.insights = derive_key_insights(topic, self.research)
def choose_layout(self):
return best_fit_layout(
topic_structure=self.topic_structure,
candidates=[
"exploded teardown",
"timeline",
"map",
"network",
"flow diagram",
"matrix",
"scorecard",
"anatomy",
"supply chain",
"stakeholder grid",
"lifecycle curve",
"layered stack",
"comparison dashboard"
]
)
def poster_modules(self):
return {
"headline": derive_headline(self.topic, self.insights),
"subtitle": derive_explanatory_subtitle(self.topic),
"main_visual": self.visual_layout,
"dimension_legend": self.dimensions,
"metric_blocks": self.metrics,
"tradeoff_box": self.tradeoffs,
"score_panel": infer_score_if_useful(self.topic),
"methodology": summarize_methodology(self.research),
"source_footer": cite_sources(self.research)
}
def render(self):
return """
Render a premium vertical editorial infographic.
Use the layout chosen by the structure of the topic.
Include researched metrics, source notes, dimensions,
insight boxes, and a clear explanatory visual hierarchy.
"""
Published: September 28, 2026 by Gadgetify