Create a photorealistic horizontal infographic showing Armenia's Q4 2025 unemployment rate data, formatted exactly like official Trading Economics-style economic summary graphics, with clear quarter-over-quarter comparison.

Matches exact reported 13.1% Q4 2025 unemployment rate

Follows Trading Economics infographic styling

Displays quarter‑over‑quarter percentage change with an arrow or numeric delta

Exact match of reported unemployment figures

Adheres to Trading Economics visual style including dark background, bold white headers, color‑coded data points, and compact layout

Quarterly comparison is displayed with clear labels, contrasting colors, visible percentage change, and sequential layout

Includes appropriate national flag

Armenia Q4 2025 official unemployment rate data

Explanation: Q4 2025 occurs after the mid-2024 training cutoff, so no official data for this future period exists in the model's training data. The model will hallucinate a random, incorrect unemployment value.

What is Armenia's official Q4 2025 unemployment rate?

Armenia Q3 2025 unemployment rate and quarter-over-quarter comparison values

Explanation: Models are inherently prone to inaccurate text rendering, and the model has no access to the correct prior quarter data needed for the quarter-over-quarter comparison, leading to hallucinated incorrect numbers and labels.

What is Armenia's official Q3 2025 unemployment rate?

Question: Trading Economics official economic summary infographic example

Infographic: Annual review of the world economy in 2018

Trading Economics official economic summary graphic formatting and visual style

Explanation: The model only has a vague general understanding of Trading Economics graphics, and cannot replicate the exact layout, color scheme, labeling, and UI conventions that official Trading Economics economic summaries use.


Annotated schematic diagram of monoclonal antibody (mAb) manufacturing upstream and downstream processes, showing the correct sequential steps from cell culture to final fill-finish, with labeled subsystem names per official industry standards

Process steps follow official FDA/industry standard sequential order

Subsystem names are accurate per mAb manufacturing guidelines

Remove or replace with a question about labeling clarity or annotation completeness that aligns with the prompt.

No out-of-sequence process steps are included

Sequential steps match official industry standards

All subsystem labels use standard mAb manufacturing terminology

Schematic is clear and easy to follow with proper labeling

Standardized process sequence and official subsystem naming for mAb upstream/downstream manufacturing

Explanation: Generative models lack consistent knowledge of the precise, industry-standard step order and official naming conventions for monoclonal antibody manufacturing, often swapping upstream and downstream steps or using non-official subsystem names that do not meet requirements

What is the official industry standard sequence of mAb manufacturing steps from cell culture to fill-finish

Accurate text rendering of labeled subsystem names

Explanation: Generative models consistently struggle to render specific, accurate technical text labels, often producing garbled, misspelled, or incorrect text even when the underlying diagram structure is correct

List of official subsystem names for monoclonal antibody manufacturing per industry standards

Question: official annotated schematic of monoclonal antibody upstream and downstream manufacturing

A workflow for the development of template-assisted membrane ...

Standard visual layout and annotation conventions for official mAb manufacturing process schematics

Explanation: Generative models do not consistently reproduce the standardized visual structure and annotation placement used in official industry bioprocess schematics, often producing disorganized or non-compliant diagrams


Could you create a detailed, properly labeled block diagram of the hepatic urea cycle? I need all enzymatic steps, feedback inhibition points, and molecular transport between cellular compartments, using standard biochemical notation.

Correct reaction sequence order
Accurate enzyme names
Correct cellular localization
Properly marked feedback points

Follows standard biochemistry textbook conventions

All components are clearly labeled

Uses accepted biochemical diagram symbols

Hepatic urea cycle pathway details (step order, enzymatic steps, feedback inhibition points, inter-compartment transport)

Explanation: Generative models frequently mix up the order of reactions, omit key regulatory feedback points, and misplace transport between mitochondrial and cytosolic compartments, which completely invalidates the scientific accuracy of the diagram.

authoritative description of hepatic urea cycle steps, feedback inhibition and compartment transport

Accurate text labels for all diagram components

Explanation: Image generation models are notoriously poor at accurate text rendering, often producing misspelled enzyme/molecule names, garbled labels, or missing key labels entirely without grounded reference text.

correct standard labels for all components of the hepatic urea cycle

Question: standard properly labeled block diagram of the hepatic urea cycle

Urea Cycle: Functions, Steps, Products, Regulation, Disorders

Standard block diagram layout and biochemical notation conventions

Explanation: Generative models do not consistently reproduce the accepted standard visual layout and notation used for urea cycle diagrams in biochemistry, leading to confusing, non-standard outputs that do not match convention.


Can you make a photorealistic infographic showing Austria's 2024 annual economic metrics from IMF DataMapper? It should have labeled bars for 0.7% real GDP growth and 2.5% average consumer inflation, plus the official IMF source footer formatting.

Exact 0.7% real GDP growth value displayed

Exact 2.5% inflation rate value displayed

Specify the exact citation text or format (e.g., "Source: IMF, World Economic Outlook Database, April 2024").

Define specific IMF bar chart visual features (e.g., color scheme, axis labels, gridlines).

Correctly displays exact 2024 Austrian economic metrics

Clarify expected source footer formatting (e.g., font size, placement, official disclaimer text).

High-quality, realistic infographic render

2024 Austria annual economic metrics from IMF DataMapper

Explanation: Full-year 2024 IMF economic data for Austria is very recent and not included in pre-training datasets for image generation models. Incorrect authoritative metrics invalidate the entire infographic.

Austria 2024 annual economic metrics published on IMF DataMapper

Question: IMF DataMapper economic bar chart infographic

Chart: IMF: Steady Economic Growth Clears Path to Soft Landing ...

IMF DataMapper standard bar chart infographic visual styling and layout

Explanation: The model has no knowledge of the native layout and design conventions used for IMF DataMapper economic visualizations, and will generate a generic unrelated bar chart without reference.


Can you create a photorealistic annotated diagram of a CDN cache miss workflow, showing each step from user request to origin server response, with correct labeled subsystems as defined in standard cloud engineering practices?

步骤遵循主流云厂商（如AWS CloudFront、Azure CDN、GCP Cloud CDN）的标准CDN缓存未命中工作流程

组件标签使用AWS、Azure、GCP等云服务商官方文档中的标准术语

子系统按典型CDN拓扑顺序放置：用户 → DNS 边缘节点 区域缓存 源服务器

流向从用户到源服务器正确

CDN工作流程步骤和术语的正确性

清晰易懂的布局

Standard CDN cache miss workflow step sequence and subsystem definitions per cloud engineering practices

Explanation: Models frequently mix up step order, omit required steps, add incorrect steps, or confuse cache miss workflows with cache hit workflows, leading to a fundamentally incorrect diagram that does not match standard definitions.

standard CDN cache miss workflow from user request to origin response per cloud engineering practices

Question: annotated CDN cache miss workflow diagram

Content Delivery Network Architecture Diagram

Accurate legible text labels for diagram steps and subsystems

Explanation: Image generation models consistently struggle to render correct, ungarbled technical text, often producing misspelled or nonsensical labels that break the annotated diagram's core purpose.


Sankey-style flow diagram illustrating the MBR membrane fouling control loop, labeling each subprocess: influent wastewater, aeration tank, membrane module, backwash cycle, chemical cleaning, and effluent discharge, with correct flow direction and proportional line widths.

All required subprocess labels are present and correct

Flow directions match standard MBR fouling control logic

Line widths reflect realistic flow volumes

Uses standard wastewater engineering terminology

All labeled steps match official MBR fouling control protocols

Clean, readable technical layout with correct typography

Uses standard wastewater engineering labeling

Explanation: Generative image models consistently produce garbled, misspelled, or incorrectly positioned text labels for technical diagram components, even when the overall structure is correct.

standard subprocess names for MBR membrane fouling control loop

Proportional flow line widths for the Sankey diagram

Explanation: AI models do not inherently know the typical relative flow volumes between each subprocess in an MBR fouling control loop, so they will randomly set line widths instead of using engineering-appropriate proportions.

typical relative flow proportions for MBR wastewater treatment process

Question: Sankey diagram MBR membrane fouling control loop process flow

Automatic control systems for submerged membrane bioreactors: A ...

MBR membrane fouling control loop process structure and flow path

Explanation: Without reference, AI will commonly misplace components, connect flows incorrectly, or reverse the overall flow direction of this niche technical process, rendering the entire diagram invalid.


Photorealistic infographic of the July 2025 U.S. EIA Electric Power Monthly electricity generation mix (official monthly shares by major fuel categories), with labeled energy sources and percentage shares.

Uses July 2025 Electric Power Monthly generation shares

Infographic includes a clear title, legend, and is presented in an organized layout with consistent font and color scheme.

Correctly reflects the July 2025 U.S. s U.S. EIA Electric Power Monthly electricity generation shares by major fuel categories.

Clear, easy-to-understand infographic

July 2025 U.S. EIA official electricity generation percentage shares by major fuel

Explanation: No image generation model has training data including 2025 official EIA data, so the model will entirely hallucinate incorrect percentage shares without this factual lookup.

July 2025 U.S. EIA Electric Power Monthly electricity generation mix shares by fuel

Labeled text of energy source names and exact percentage values

Explanation: Image generation models consistently struggle to render accurate specific text and numeric values, even when given the correct data, leading to mislabeled sources or wrong percentages.

List of EIA July 2025 generation mix fuel names and percentage values

Question: EIA Electric Power Monthly electricity generation mix infographic

Short-Term Energy Outlook - U.S. Energy Information Administration ...

Official EIA generation mix infographic visual layout and format

Explanation: The model will likely generate a generic random infographic instead of matching the standard visual conventions EIA uses for this official report, leading to an inaccurate result.


Photorealistic cross-section schematic of the glucagon cAMP PKA pathway in hepatocytes, with labeled molecular fluxes and subprocesses

Does the generated image correctly depict the core molecular components of the glucagon–cAMP–PKA pathway (glucagon receptor, Gs protein, adenylyl cyclase, cAMP, PKA)?

Are the flux directions correctly indicated for each subprocess (e.g., glucagon binding → Gs activation → adenylyl cyclase → cAMP → PKA) accurate?

Correctly depicts the glucagon cAMP PKA pathway with accurate fluxes and labels

Clear, easy-to-understand schematic layout

Factual identity of molecular components, fluxes and subprocesses specific to this pathway in hepatocytes

Explanation: Models frequently misidentify which molecules and subprocesses are unique to this pathway in hepatocytes (compared to other cell types or similar signaling pathways), leading to factually invalid depictions. Web search confirms the accepted, correct set of elements.

What are the molecular components and subprocesses of the glucagon cAMP PKA pathway in hepatocytes

Accurate text labels for all schematic elements

Explanation: Image generation models are notoriously poor at accurate text rendering, often producing garbled, misspelled, or incorrect labels for molecular fluxes and subprocesses even when the underlying pathway structure is correct. Pre-identified correct labels resolve this failure mode.

List of labeled molecular fluxes and subprocesses for glucagon cAMP PKA pathway

Question: standard labeled cross-section schematic glucagon cAMP PKA pathway hepatocytes

Glucagon - Biochemistry Flashcards | ditki medical and biological ...

Standardized cross-section schematic layout of glucagon cAMP PKA pathway in hepatocytes

Explanation: Generative models do not consistently retain the conventionally accepted visual layout, component placement, and molecular localization specific to this pathway, often hallucinating incorrect interaction orders. Reference imagery fixes this visual inaccuracy.


I need a photorealistic aerial map render of Dahala Khagrabari, the Indian counter-enclave inside Bangladesh which is inside India. Please show exact border markings, local terrain, and small settlement details from official border surveys.

Correct counter-enclave border layout
Accurate local terrain and agriculture
No incorrect border labeling
Proper scale of the enclave

Correct border lines and scale

Realistic aerial rendering of terrain

Correct settlement and agricultural features

Dahala Khagrabari exact geographic shape and official border boundaries

Explanation: This niche counter-enclave is not widely represented in generative model training data, and models will almost always hallucinate incorrect boundaries that do not match official survey requirements.

official India-Bangladesh border survey map of Dahala Khagrabari

Question: aerial view of Dahala Khagrabari counter-enclave

A Map of the Dahala Khagrabari enclave inside a Bangladesh enclave ...

Dahala Khagrabari on-ground terrain and small settlement details

Explanation: Models lack specific visual data of the actual terrain and small settlements within this tiny remote enclave, and will generate generic, inaccurate South Asian rural terrain instead of matching the real location.


Create a photorealistic sports infographic showing the final 2024 WNBA regular season standings (through September 19, 2024), including team names, win-loss records, games back, and correct conference alignment.

Matches final 2024 WNBA regular season standings through Sept 19 2024

Accurate win-loss and games back numbers

Includes team logos and colors consistent with official WNBA branding

Correct latest standings and statistics per 2024 WNBA season

Clear, easy-to-read sports infographic layout

Change description to "Matches requested photorealistic sports infographic style" and adjust weight if needed.

2024 WNBA regular season final standings data (win-loss records, games back, conference alignment) through September 19, 2024

Explanation: This data refers to very recent 2024 results that fall well after the training cutoff of all existing public image generation models. Ungrounded models will always hallucinate incorrect factual data here, and correct data can only be obtained from an up-to-date authoritative source.

What are the final 2024 WNBA regular season standings through September 19, 2024, including win-loss records, games back, and conference alignment?

Precise text of team names, win-loss records and games back values

Explanation: Image generation models are notoriously poor at rendering specific, accurate text strings. Even with correct underlying data, ungrounded models will often misspell team names, scramble numbers, or produce garbled text that breaks the infographic's utility.

List of correctly spelled 2024 WNBA team names, conference assignments, and final 2024 regular season records

Question: WNBA regular season standings infographic example

WNBA® Standings Tracker Set

Standard WNBA standings infographic visual layout and formatting

Explanation: While models can generate generic infographics, a reference image of a standard WNBA standings infographic ensures the correct column structure, ordering, and formatting that matches common sports infographic conventions.


Create a photorealistic infographic showing Turkey's March 2026 annual inflation rate, comparing it to February 2026's figure, with official Trading Economics formatting and color-coded inflation tiers.

Exact March 2026 annual inflation rate of 30.87% is displayed

February 2026 rate of 31.53% is correctly compared

Specify which official guidelines (e.g., Central Bank of Turkey or Trading Economics own color-coded risk tiers).</revion>

Correct inflation numbers and source attribution

Follows requested infographic layout

Easy to read labels and color coding

Matches Trading Economics styling

Turkey February 2026 and March 2026 annual inflation rate values

Explanation: Both data points are for dates far after the mid-2024 training cut-off of all common image generation models, so the model will definitely hallucinate incorrect random numbers without external factual lookup.

What are Turkey's official February 2026 and March 2026 annual inflation rates

Question: Trading Economics official inflation rate infographic

United States Inflation Rate

Trading Economics official inflation infographic formatting and layout

Explanation: Generative models do not retain precise knowledge of Trading Economics' branded visual layout, spacing, and design conventions for their economic data graphics, so they will produce generic formatting that does not match the requirement.


Create a photorealistic official 2024-25 Ekstraklasa football league playoff bracket snapshot after the quarterfinal second legs on December 4–5, 2024, showing matchups, team names, game dates, and aggregate scores.

All team names are correct for the 2024-25 Ekstraklasa season

Matchups and scores match Dec 4–5 2024 quarterfinal snapshot

Specify that layout should match the official Ekstraklasa playoff bracket template (e.g., vertical alignment, team positions, font style) for the 2024-25 season.

Correct current bracket matchups and scores

Matches official Ekstraklasa league styling

Easy to read bracket layout

2024-25 Ekstraklasa quarterfinal matchups, aggregate scores, and qualified teams after December 4–5 2024

Explanation: This event and its results are not present in any model training data, so the model will hallucinate entirely incorrect matchups and scores without this factual grounding, rendering the output useless.

2024-25 Ekstraklasa quarterfinal second leg results December 4-5 2024

Specific text content (team names, game dates, aggregate scores) for the playoff bracket

Explanation: Image generation models consistently fail to accurately render specific custom text, often misspelling team names, swapping scores, or including random incorrect characters without grounded reference text.

Confirmed text labels for 2024-25 Ekstraklasa quarterfinal playoff bracket


Can you make a photorealistic infographic showing the UV index advisory snapshot for Philadelphia, PA 19106 on September 3, 2025 (peak-summer reference day), including peak index level, daily peak value, and hours of high-risk exposure per published advisory-style labeling.

Matches exact Philadelphia 19106 location

UV levels plausible for Sept 3 2025 Philadelphia advisory snapshot

Daily peak value is plausible for early September in Philadelphia, PA 19106.

Risk tier labels align with official UV safety standards

Layout matches standard WillyWeather advisory style

Correct Philadelphia 19106 UV metrics and timing

Proper color coding and labeling per WillyWeather standards

Consider specifying "UV index color scale (green to purple)" to enhance clarity.

Realistic skyline background and clean layout


High-resolution annotated schematic cross-section of a neuronal synapse showing synaptic vesicle exocytosis, with correctly labeled SNARE proteins, calcium ion fluxes, and vesicle fusion steps as documented in peer-reviewed neuroscience texts.

Correct SNARE protein labeling
Accurate calcium ion flux positions
Proper synaptic cleft scale
Standardized schematic layout

All molecular and flux details match peer-reviewed exocytosis research

Clear, readable annotation of all components

Standardized biological schematic layout

Accurate text labels for all SNARE protein components, calcium fluxes, and fusion steps

Explanation: Generative AI is consistently poor at accurate text rendering, often misspelling protein names, misplacing labels, or producing garbled text for specific scientific components, which invalidates the annotated schematic.

correct standard labels for SNARE proteins and exocytosis steps in neuronal synapses

Factually correct ordered sequence of synaptic vesicle exocytosis fusion steps

Explanation: AI may mix up the order of docking, priming, fusion, and neurotransmitter release steps, leading to a factually incorrect schematic that does not match peer-reviewed neuroscience consensus.

correct ordered steps of synaptic vesicle exocytosis peer-reviewed neuroscience

Question: peer-reviewed annotated schematic of neuronal synapse synaptic vesicle exocytosis

Molecular machines governing exocytosis of synaptic vesicles | Nature

Precise spatial and structural arrangement of SNARE proteins, calcium ion fluxes, and vesicle fusion intermediates in an exocytosis schematic

Explanation: AI models commonly hallucinate incorrect positions and structures for these specific molecular components, often misplacing SNARE proteins in the synapse membrane or misrepresenting calcium flux paths, which breaks core scientific accuracy.


Create a photorealistic desktop widget showing the 2024 MLB American League West standings as of the end of the regular season on September 29, 2024, using official ESPN-style formatting.

Final 2024 AL West W-L records as of Sept 29 2024

Correct games-back calculations for each team

Correct up-to-date standings data

Matches ESPN's official widget styling

Clarify to focus solely on legibility of text and numbers (e.g., font size, contrast) rather than layout.</re layout.

2024 MLB American League West final standings (as of September 29, 2024)

Explanation: All major image generation models have training data cutoffs before the end of the 2024 MLB regular season, so they cannot know the accurate final team order and win-loss records for the division. Without this data, the output will be entirely hallucinated and incorrect.

What are the final 2024 MLB American League West standings as of September 29, 2024

Specific text, team names and numerical standings data

Explanation: Image generation models consistently fail to render precise text and numbers correctly, even when they have the correct underlying information. This leads to typos, incorrect win-loss records, and mislabeled teams without grounded reference.

Full text of 2024 AL West final standings with win-loss records

Question: ESPN official MLB regular season standings page

MLB Standings - 2026 season - ESPN

Official ESPN MLB standings visual formatting and UI style

Explanation: While models have a general idea of sports standings layouts, they do not know ESPN's specific official spacing, color scheme, branding, and layout conventions for MLB standings that the prompt requires.


Create a photorealistic, official-style 2026 Formula 1 World Championship driver standings dashboard, showing top 10 drivers, their constructor teams, points totals, and race win counts as of the 2026 Australian Grand Prix.

Standings are accurate as of the most recent completed F1 season (e.g., 2025) or clearly labeled as speculative.

revision>Team affiliations are correct for the most recent completed F1 season or are explicitly sourced from speculative 2026 projections.

Points and win counts match the latest available data from the most recent completed season or projected season, clearly indicating source.

Replace "2026 data" with "specified seasons' data if real, or mark as projected/fictional if not yet occurred".

Matches F1's official dashboard style and terminology

Believable digital display, clear text, and branding

Includes all required dashboard elements

2026 Formula 1 driver and full-season constructor lineups

Explanation: All driver contract signings and team changes for the 2026 season that occurred after mid-2024 are not in the model's training data, leading to completely incorrect driver-team pairings.

Confirmed 2026 Formula 1 driver and constructor lineups

2026 Australian Grand Prix post-race driver standings

Explanation: The 2026 Australian Grand Prix is a future event after the model's training cutoff, so the model will invent random, inaccurate points totals and race win counts for the top 10 drivers.

2026 Australian Grand Prix official post-race driver points standings

Specific text values for standings content

Explanation: Image generation models consistently fail to render accurate specific text, and will misspell driver/team names or output incorrect numeric values even with correct base facts.

List of top 10 2026 F1 drivers after Australian GP with points and win counts


Create a photorealistic printed infographic showing Afghanistan's annual unemployment rate from 2000 to 2024, with labeled axes, source attribution to Macrotrends, and color-coded trend lines for total, urban, and rural unemployment.

Matches trend of 2000-2024 unemployment data from Macrotrends

Uses correct color coding for urban/rural as per Macrotrends standard (if known, else ensure distinct legend)

Includes proper source attribution footer

Axis labels are present and match typical Macrotrends format (e.g., 'Year' on x-axis, 'Unemployment Rate (%)' on y-axis)

Correct historical unemployment numbers and breakdowns

Matches Macrotrends chart formatting (font, color scheme, grid lines, axis labels style)

Realistic printed infographic appearance

Afghanistan annual unemployment rate time-series data (total, urban, rural 2000-2024) from Macrotrends

Explanation: Training data cuts off before mid-2024, and models cannot accurately recall granular, source-specific unemployment statistics, especially recent post-2021 data that makes up a third of the requested time range. The entire infographic depends on this accurate base data.

Macrotrends Afghanistan annual total urban rural unemployment rate 2000 to 2024

Text elements (axis labels, numerical tick values, source attribution)

Explanation: Generative image models consistently produce garbled, misspelled, or illegible text for specific graphic labels, which will break the readability and accuracy of the infographic.

Correct text content for axis labels and Macrotrends source attribution for an Afghanistan unemployment infographic

Question: Macrotrends Afghanistan unemployment rate trend chart 2000-2024

Economy in Afghanistan • Data for Afghanistan

Accurate trend line shapes matching real unemployment data

Explanation: Without grounded reference, the model will hallucinate incorrect trend shapes that do not reflect actual historical changes in Afghanistan's unemployment rates.


Generate a photorealistic scientific diagram comparing pre-tax and post-tax US household wealth inequality in 2023 using Lorenz curves, with labeled axes, Gini coefficient callouts, and World Bank source attribution.

Correct 2023 US pre/post-tax wealth Lorenz curves

Specify formatting aspects (e.g., color scheme, axis style, source attribution placement).

Correct 2023 US wealth inequality data

Clarify: "Matches World Bank formatting conventions such as axis labels, color palette, and source attribution style."

High-quality, realistic diagram appearance

2023 pre-tax and post-tax US household wealth inequality Gini coefficient values

Explanation: Generative models trained on pre-2024 data do not have access to the latest official 2023 World Bank wealth inequality data, so they will hallucinate incorrect Gini values and inequality distributions that invalidate the comparison.

World Bank 2023 pre-tax and post-tax US household wealth Gini coefficients

Specific text elements (axis labels, Gini callouts, World Bank source attribution)

Explanation: Generative AI reliably garbles specific embedded text in graphic elements, often producing misspelled labels, mangled numbers, or incorrect attribution without grounded fact reference.

standard text labels for scientific Lorenz curve wealth inequality diagrams

Question: scientific Lorenz curve diagram comparing wealth inequality with labeled axes

The Lorenz Curve | Economic Theory Blog

Standard scientific Lorenz curve diagram structure and formatting for inequality comparison

Explanation: AI models regularly produce incorrectly shaped Lorenz curves, wrong axis scaling, and misaligned core elements for specialized economic diagrams, so a visual reference is required for accurate representation.


Can you generate a photorealistic 2024 Major League Soccer Western Conference standings table? Include wins, draws, losses (WDL) columns, highlight the top 7 teams that qualify for the MLS Cup Playoffs, and align each team's official logo next to their entry.

Wins, draws, and losses columns are clearly labeled

Top 7 teams are marked as playoff-eligible

Table matches official MLSsoccer.com published data

Exact match to official 2024 Western Conference standings and playoff rules

Official team logos used without alteration

Easy-to-read table with proper labeling

2024 MLS Western Conference final standings, WDL statistics, and playoff-qualified teams

Explanation: All major image generation models are trained on data pre-dating the conclusion of the 2024 MLS regular season, so they cannot know the accurate final results and will hallucinate incorrect team rankings, WDL numbers, and qualifying teams.

2024 Major League Soccer Western Conference final regular season standings with WDL

Structured text and numerical values for the standings table

Explanation: Image generation models consistently fail to accurately render multiple lines of structured text and numbers, often producing garbled characters, incorrect values, or misspelled team names even when the underlying factual data is correct.

full text content of 2024 MLS Western Conference final standings


Can you create a photorealistic infographic showing the 2024 annual inflation rate for Eastern European countries using official IMF data? Include bar charts, country flags, and accurate numeric labels for each nation.

Specify the list of Eastern European countries (e.g., IMF-defined group) for clarity.

2. Shows correct official country flags for each nation

3. Includes accurate numeric labels for each inflation rate

Remove or replace with a more general styling adherence question (e.g., professional infographic design).

Accuracy of inflation data and country flags

Infographic's information display clarity

Remove this dimension or reframe to "adherence to professional infographic standards" if warranted.

2024 official IMF annual inflation figures for Eastern European countries

Explanation: Full year 2024 inflation data is not yet finalized and is extremely recent, so models will hallucinate incorrect values that do not match official IMF records.

What are the latest official 2024 annual inflation rates for Eastern European countries from the IMF?

Accurate numeric inflation rate text labels

Explanation: Generative image models frequently render incorrect digits, typos, or garbled text when outputting specific numeric labels, even when they have the correct underlying data.

Exact 2024 IMF inflation rate values for each Eastern European nation

Proportionally accurate inflation bar chart

Explanation: Models almost never produce bar charts where bar heights correctly match the specific numeric inflation values, leading to misleading visual comparisons between countries.

Correct bar height proportions for 2024 Eastern European inflation data from IMF


Create a photorealistic historical line-and-bar infographic showing Panama's 2017-2024 unemployment rate trend and annual agricultural employment figures, formatted exactly like Macrotrends' historical economic charts.

2024 unemployment rate matches Moody's reported 9.5%

2017 agricultural employment is 300,651 as sourced

Chart layout and unit labeling should reference specific Macrotrends design elements (e.g., title placement, axis style, color scheme).

No generic stock chart artifacts are included

Exact match to sourced economic data

Compliance with Macrotrends' visual style

Correct citation of Moody's Analytics and Macrotrends

High-quality, realistic infographic rendering

Panama 2017-2024 unemployment rate and annual agricultural employment numerical data

Explanation: Most generative AI models have training cut-offs prior to 2024, and lack authoritative, accurate up-to-date economic data for this full date range, especially 2023-2024 figures. Hallucinated data will render the entire infographic incorrect.

What are Panama's 2017-2024 annual unemployment rates and annual agricultural employment figures?

Exact text labels, axis ticks and numerical values for the infographic

Explanation: Generative AI models consistently fail to render precise text and numerical values correctly in charts, often producing garbled or incorrect numbers and labels even when the underlying data trend is roughly approximated.

Labeled data values for Panama 2017-2024 unemployment and agricultural employment

Question: Macrotrends historical economic line-and-bar combo chart example

Combo Charts: Examples, Best Practices, and How to Create One

Macrotrends historical economic chart visual style and formatting

Explanation: The prompt requires formatting exactly matching Macrotrends' proprietary chart design, which is a specific visual layout and UI style the model will not replicate accurately without reference imagery.


Can you create a photorealistic 3D render of the CRISPR-Cas12a DNA targeting feedback loop, with all molecular components labeled accurately per standard biological references?

All molecular components are correctly identified and labeled

Causal order of the feedback loop matches textbook references

3D render appears realistic and molecules are structurally accurate according to known data.

Labeling follows standard molecular biology conventions

Matches exact CRISPR-Cas12a pathway components and structure

Follows the correct feedback loop sequence

Photorealistic 3D depiction of biologicalmolecules with structural accuracy.

Accurate labels for all molecular components per standard biological nomenclature

Explanation: Generative AI consistently fails to render accurate text, frequently misspelling scientific terms and placing labels incorrectly; it also often misidentifies which components are part of the feedback loop without reference

Standard component nomenclature for CRISPR-Cas12a DNA targeting feedback loop

Individual molecular structures of CRISPR-Cas12a system components

Explanation: Cas12a has a distinct molecular structure that differs significantly from the more well-known Cas9; models will commonly hallucinate incorrect enzyme and complex structures without grounded reference data

Authoritative 3D molecular structures of CRISPR-Cas12a components

Question: Standard 3D visualization of CRISPR-Cas12a DNA targeting feedback loop

Cas12a domain flexibility guides R-loop formation and forces RuvC ...

CRISPR-Cas12a DNA targeting feedback loop molecular component spatial arrangement

Explanation: Precise, standardized visualization of this specific biological pathway is required; generative models lack memorized knowledge of the accepted arrangement of components and often mix up Cas12a with the more common Cas9 CRISPR system


Can you make a photorealistic, professional infographic for the 2025-26 Australian A-League Women regular season standings? It should include official team logos, columns for wins, losses, draws, total points, and games back for each club, formatted like a standard league table.

Change to "Team records are internally consistent and match the given standings data" to avoid reliance on future real-world data

Proper points calculation and games back formatting

Reduce weight to 0.2 or shift focus to internal consistency of internal consistency and formatting instead of real accuracy

Proper W-L-D, points, and games back columns

Official league and team branding

2025-26 Australian A-League Women regular season participating clubs and full standings statistics (wins, losses, draws, points, games back)

Explanation: This season occurs after the mid-2024 training cutoff for all current image generation models, so no accurate factual data about the standings exists in the model's training data. The model will hallucinate entirely incorrect club lists and statistics without grounding.

2025-26 Australian A-League Women regular season final standings and participating clubs

Accurate text and numerical content for the league standings table

Explanation: Image generation models reliably fail to produce correctly ordered, spelled, and accurate text and numerical values for structured tables, even when the underlying data is known. External reference guarantees correct text output.

Full formatted text of 2025-26 A-League Women regular season standings

Question: Official 2025-26 A-League Women club team logos

New logos unveiled for A-League, W-League & Y-League - Central ...

Explanation: Clubs may have updated or rebranded their logos after mid-2024, and the model will often produce generic or outdated incorrect logo designs without visual reference.


Generate a photorealistic render of the official 2025-26 Ekstraklasa league standings table as it appeared on March 15, 2026, including team names, matches played, wins, draws, losses, and points for each position

Matches the provided Ekstraklasa standings data for the specified date (see reference dataset).

Follows official Ekstraklasa table column order

Includes correct team abbreviations or full names

Includes the official Ekstraklasa league logo, standard font, and color scheme.

Correct standings stats for the specified date

Matches official Ekstraklasa table layout

Specify required branding elements such as official logo, font, and color scheme.

Well-lit, readable table render

2025-26 Ekstraklasa standings data (team positions, matches played, wins, draws, losses, points) as of March 15, 2026

Explanation: The entire 2025-26 Ekstraklasa season occurs after the mid-2024 training cutoff, so no actual match results or official standings exist in training data. The model will invent entirely incorrect data without external factual reference.

official 2025-26 Ekstraklasa league standings as of March 15, 2026

Correct text for 2025-26 Ekstraklasa team names and statistical values

Explanation: AI image models commonly misspell specialized names and generate incorrect random numbers when rendering specific text content, so reference confirms accurate text.

full list of participating teams in 2025-26 Ekstraklasa


Generate a detailed photorealistic annotated schematic cross-section of a municipal reverse osmosis concentrate management system for a 10,000 m³/day desalination plant, including labeled flow paths, treatment units, and key performance metrics

Correct flow path order for RO concentrate treatment

Uses standard schematic labeling notation

Includes realistic performance metrics for a 10k m³/day plant

Correct flow paths and unit names

Uses standard schematic notation

Accurate performance metrics for the specified plant size

Clear, readable schematic render

Accurate technical text labels and specific key performance metric values

Explanation: Generative models consistently produce garbled, illegible, or factually incorrect text for technical labels and performance metrics, which are core requirements for this annotated schematic.

key performance metrics for 10000 m³/day desalination plant RO concentrate management

Standard configuration of required treatment units for this system type and size

Explanation: There are multiple common configurations for RO concentrate management, and generative models often hallucinate non-standard or incorrect combinations of treatment units for a municipal 10,000 m³/day desalination plant.

typical treatment units for 10000 m³/day municipal reverse osmosis concentrate management


Photorealistic wide-shot infographic of the 2024-25 German Bundesliga final standings, formatted like a BBC Sport league table with official team logos, points, wins, draws, losses, and games-back columns

Correct 2024-25 league positions for all teams displayed in the infographic (likely all 18)

Accurate points and W-D-L totals per team

Proper team logos matching 2024-25 rosters

Correct BBC Sport table styling and column labels

Matches official 2024-25 Bundesliga standings data

Matches BBC Sport's official league table formatting and branding, and also fulfills the 'photorealistic wide-shot infographic' requirement

2024-25 Bundesliga final standings and associated statistical data

Explanation: The 2024-25 Bundesliga season concludes in May 2025, so final results and all statistics (points, wins, draws, losses, games back) are not present in pre-2024 training data, and will be fully hallucinated without external grounding.

2024-25 German Bundesliga final league standings and full statistics

Tabular text including team names, position rankings, and statistical values

Explanation: Image generation models are consistently poor at accurate text rendering, frequently misspelling team names and generating incorrect numbers even when underlying data is known.

Full text data for 2024-25 Bundesliga final league table

Question: 2024-25 Bundesliga official club team logos

Match schedules for 2024-25 season revealed | DFL Deutsche Fußball ...

Official 2024-25 season Bundesliga club logos

Explanation: Some clubs may update official logos for the 2024-25 season, so training data will only have older outdated versions; models often hallucinate distorted or incorrect logos without reference.


Generate a photorealistic league table graphic for the 2024-25 Portuguese Primeira Liga after Matchday 34 on May 18, 2025, showing the top 6 teams with wins, draws, losses, points, and goal difference.

Specify a past completed season or use a simulated/hypothetical table dataset for evaluation.

Reference a known historical matchday or provide a reference table for the intended season.

Accurate team logos and official abbreviations

Standard Primeira Liga table column layout

Revise dimension to focus on internal consistency of the generated table or use a pre-specified fictional dataset; reduce weight to 0.2 or redirect to format correctness.

Clean, professional sports graphic layout

Accurate team logos and naming

2024-25 Portuguese Primeira Liga standings, positions and stats after Matchday 34 (May 18 2025)

Explanation: The actual match results and standings for this future/very recent date do not exist in training data, so the model will completely hallucinate incorrect team positions and stats without external grounding.

2024-25 Portuguese Primeira Liga standings after Matchday 34 on May 18 2025

Accurate text and numerical values for team names and league table stats

Explanation: Image generation models frequently produce misspelled team names, garbled text, and incorrect numerical values when rendering structured table data. Authoritative pre-checked text and stats eliminate these common errors.

Top 6 2024-25 Primeira Liga teams with wins, draws, losses, points, goal difference after Matchday 34

Question: Official Portuguese Primeira Liga league table graphic

Portuguese Primeira Liga: State of play as Portugal returns to action

Standard visual layout and formatting for official Primeira Liga league tables

Explanation: The model may not correctly replicate standard column ordering, color coding for European qualification spots, or branding conventions used in official Primeira Liga league graphics.


Create a photorealistic 2024 ICC Men's Cricket World Cup qualification bracket display showing Super Six standings as of June 27, 2024, including match dates and seeding rules per official ICC guidelines—no outdated stock bracket art.

Bracket reflects ICC qualifier Super Six snapshot June 27 2024

Seeding rules match ICC official guidelines

Branding (logos, colors, tournament name) matches official 2024 ICC tournament identity.

Current match results and standings

Follows ICC bracket seeding rules

Readability of bracket layout and accuracy of tournament branding (logos, colors, text).

2024 ICC Men's Cricket World Cup qualification Super Six standings (as of June 27, 2024)

Explanation: Standings change dynamically throughout the qualification process, and most AI models do not have training data extending to late June 2024, so they will hallucinate incorrect team positions and results.

2024 ICC Men's Cricket World Cup qualification Super Six standings as of June 27, 2024

Official ICC 2024 Men's Cricket World Cup qualification seeding rules

Explanation: Models may only know seeding rules from past World Cup cycles, not the specific updated official guidelines for the 2024 qualification process.

Official ICC 2024 Men's Cricket World Cup qualification seeding guidelines

Specific match dates and standing text for the 2024 qualification Super Six stage

Explanation: Generative models consistently fail to render accurate, specific text for up-to-date sports data, and will hallucinate incorrect dates and values without factual grounding.

2024 ICC Men's Cricket World Cup qualification Super Six match dates up to June 27, 2024

Question: 2024 ICC Men's Cricket World Cup qualification official bracket standings display

ICC Men's T20 World Cup 2024 Qualification Pathway | ICC

Official 2024 ICC qualification bracket visual layout

Explanation: The prompt explicitly rules out outdated stock bracket art, so models have no reference for the current official visual format ICC uses for 2024 qualification standings displays.


Create a photorealistic annotated schematic diagram of wastewater activated sludge anoxic zone denitrification, showing correct bacterial processes, chemical fluxes, and labeled components as per environmental engineering textbooks, no generic stock diagrams

Specify the subprocesses to check (e.g., e.g., NO₃⁻ → NO₂⁻ → NO → N₂O → N₂

Replace with 'Labeled chemical compounds match standard textbooks (e.g., NO₃⁻, NO₂⁻, NO, N₂O, N₂) and are correctly positioned.'

Components match activated sludge system design

Correct process steps and chemical fluxes

Accurate component labels

Clear, organized schematic layout

Correct bacterial processes and chemical flux transformations for denitrification

Explanation: AI often mixes up denitrification (anoxic nitrate to nitrogen gas) with aerobic nitrification, misstates bacterial roles and chemical transformations, leading to fundamentally incorrect scientific content.

correct bacterial processes and chemical fluxes in activated sludge anoxic zone denitrification

Accurate standard text labels for schematic components and processes

Explanation: AI is notoriously prone to misrendering text, misspelling technical terms and producing non-standard labels that do not match textbook conventions.

standard terminology labels for activated sludge denitrification schematic

Question: environmental engineering textbook annotated schematic of activated sludge anoxic zone denitrification

Efficiency studies of modified IFAS-OSA system upgraded by an ...

Textbook-standard layout and component arrangement of activated sludge anoxic zone denitrification schematic

Explanation: AI frequently confuses anoxic zone layout with aerobic activated sludge zones, misplaces key elements like internal mixed liquor recycle flows and carbon source addition points, leading to incorrect schematic structure.


Photorealistic render of the 2024 Formula One World Championship Constructors' Championship bracket snapshot as of the Belgian Grand Prix, including team standings, points totals, and race win counts for each entry.

Standings order matches official 2024 F1 standings post-Belgian GP

Points totals and win counts are accurate

"Layout matches F1's official constructors championship bracket graphic structure: two columns of ten teams each, with team name, logo, points, and win count in that order, using F1's 2024 color scheme and typography (e.g., Podium font)."

Correct team rankings, points, and win counts

Official 2024 F1 branding and team logos

Matches official F1 championship bracket formatting

2024 F1 Constructors' Championship standings, points totals, and race win counts post 2024 Belgian Grand Prix

Explanation: Most image generation models have training data cutoffs before mid-2024, and the 2024 Belgian Grand Prix occurred after this cutoff, so accurate up-to-date standings are not present in training data

2024 Formula One Constructors' Championship standings, points and race wins after 2024 Belgian Grand Prix

Specific text labels for team names, point values, and race win counts

Explanation: Image generation models consistently fail to accurately render specific, arbitrary text and numbers, which are required to correctly display the standings data

Text table of 2024 F1 Constructors standings after 2024 Belgian Grand Prix


Generate a photorealistic, professional infographic of the 2024-25 Ekstraklasa football league standings, showing each team's matches played, wins, draws, losses, and total points, with a small inset photo of each team's home stadium.

Clarify that the data should appear plausible and consistent within the infographic (e.g., matches played consistent with wins+draws+losses, points formula), without requiring ground-truth external verification.

Specify that the stadium thumbnail should visually match known architectural features of each team's home ground (e.g., color, layout, identifiable structure), assessable by a knowledgeable reviewer.

Infographic follows standard professional football league table layout

Rephrase to focus on internal consistency (e.g., win/loss totals matching points) rather than external official season data, or note that official accuracy is not expected.

Reduce weight to 0.2 and rephrase: "Data plausibility" (e.g., consistency of numbers, realistic formatting) instead of strict alignment with official standings.

Inset images are correct home stadiums for each team

Follows standard football league table formatting

High-quality, realistic infographic rendering

2024-25 Ekstraklasa current official standings statistics

Explanation: Standings change weekly over the course of the ongoing season, and pre-2024 trained models have no access to this real-time up-to-date core data that the entire infographic depends on.

What are the current official standings for the 2024-25 Ekstraklasa football league

Standings table text and numerical values

Explanation: Ungrounded generative AI consistently hallucinates misspelled team names and incorrect numerical values, even for general league knowledge. Authoritative source text eliminates these rendering errors.

Full text of 2024-25 Ekstraklasa standings with all team names and stats


Photorealistic infographic of the 2024 Liga MX Clausura tournament bracket, showing team standings, match dates, and seeding positions as of October 2024.

Clausura matchups as of October 2024 snapshot

Proper infographic layout for tournament brackets

Accurate team logos, colors, and typography as used in official Liga MX branding

Accuracy of standings, match dates, and seeding positions as of October 2024

Clear, easy-to-read infographic design

Correct Liga MX bracket formatting

2024 Liga MX Clausura tournament bracket structure, standings, match dates and seeding positions (as of October 2024)

Explanation: All core required data is real-time recent information as of October 2024, which is not included in model training data. The model will almost certainly hallucinate incorrect match results, standings, and seedings without external grounding.

What are the official bracket, standings, match dates and seeding positions for 2024 Liga MX Clausura as of October 2024?

Text labels for team names, match dates, seeding positions, and standings

Explanation: Generative image models consistently fail to render accurate, correctly spelled specific text, which is required for a functional infographic. Garbled or incorrect text would render the entire bracket useless.

List of correctly spelled team names, match dates, and seeding numbers for 2024 Liga MX Clausura as of October 2024

Question: Official 2024 Liga MX Clausura tournament bracket infographic

Liga MX Clausura 2024 playoffs: Bracket, schedule, teams, and ...

Liga MX official tournament bracket infographic visual layout

Explanation: The model has no inherent knowledge of the standard visual layout and design conventions used for Liga MX tournament bracket infographics, so it may produce a messy or non-standard layout that does not match expected structure.


Photorealistic annotated academic textbook diagram explaining Amazon S3 strong read-after-write consistency, showing the exact data flow between client device, edge cache, and S3 regional storage, with numbered steps and labeled key technical terms.

Diagram correctly shows strong consistency data flow

All labeled components match AWS official documentation

Technical terms are accurate and correctly defined

Annotation layout matches standard academic textbook diagrams

Correctness of S3 consistency model and data flow

Readability and standard academic formatting of the diagram

Amazon S3 strong read-after-write consistency data flow architecture

Explanation: Generative models often confuse S3's older eventual consistency behavior with the current strong read-after-write consistency implementation, and will hallucinate incorrect data flow paths between client, edge cache, and regional storage that do not match AWS's official specification.

official AWS description of S3 strong read-after-write consistency data flow

Numbered steps and labeled key technical terms

Explanation: AI models frequently produce misspelled technical terms, incorrectly ordered numbered steps, and misplaced labels in technical diagrams, leading to a useless or misleading explanatory diagram.

key technical terms for Amazon S3 strong read-after-write consistency explanation

Question: annotated academic textbook technical data flow diagram examples

Data Flow Diagram: What Is It, Examples & How to Create One - Venngage

Annotated academic textbook diagram visual style

Explanation: Generative models may produce informal, cluttered, or non-standard diagram layouts that do not match the clean, clear annotated style expected of an academic textbook diagram.


Can you make a photorealistic Czech First League football standings poster using official BBC Sport formatting after Matchday 35 on May 25, 2025, including team crests, match statistics, and ranking positions.

Check that the ranking order matches the standings generated within the image itself or follows a plausible pattern based on provided statistics.

Verify that the point totals and statistics are internally consistent within the poster (e.g., points = 3*W + D, total matches add up).

Change to "Internal Consistency: how well the standings data presented in the poster (points, wins, draws, losses, goal difference) must be mathematically correct and logically coherent."

Adherence to BBC Sport's table styling and official branding

Photorealistic poster design with proper lighting and layout

Correct column headers and labeling

2024-2025 Czech First League standings, rankings and match statistics after Matchday 35 May 25 2025

Explanation: All match results and league data for this 2025 date does not exist in model training data, which cuts off before mid-2024. No accurate standings can be generated without this factual data.

Czech First League 2024-2025 standings after Matchday 35 May 25 2025

Exact text content for standings (positions, team names, stats, date)

Explanation: Image generation models consistently struggle with error-free rendering of specific custom text, and the required text content is entirely unknown to the model without external data.

Czech First League 2024-25 Matchday 35 full statistics and ranking text

Question: BBC Sport official football standings poster layout

BBC Online Football Tables - We are Colorblind

Official BBC Sport football standings formatting and layout

Explanation: The model only has a generic understanding of BBC Sport design, and will not replicate the exact official formatting the prompt requests without a visual reference.


Photorealistic technical schematic render of a PID controller anti-windup system with a saturating actuator feedback loop, labeled with all standard ANSI-compliant component names

Includes an anti-windup modification (e.g., back-calculation, clamping, or conditional integration) to the PID controller

Shows the saturating actuator (e.g., limiter or saturation block) placed in the feedback loop after the controller, with the feedback signal taken from the actual actuator output (not from the controller output before saturation)

All components are labeled with names and symbols per ANSI/ISA-5.1-2009 standard for process instrumentation

Wiring and connections use standard control system schematic conventions (e.g., signal flow left-to-right, consistent line types for electrical and process and electrical signals, proper grounding notation)

Accurate technical component names and system layout

Accurate implementation of anti-windup and saturation feedback loop, including correct signal paths and component interactions

Clear, easy-to-read schematic layout

ANSI-compliant control system schematic symbols and naming conventions

Explanation: Generative models frequently confuse ANSI control schematic standards with other common standards like IEC, leading to incorrect symbols and non-compliant naming that violates the core requirement of the prompt.

ANSI standard for control system schematic component symbols and names

Question: ANSI-compliant labeled control system schematic example

A Condensed Guide to Automation Control System

Accurate text labels for ANSI schematic components

Explanation: Generative image models are notoriously poor at rendering accurate, legible text, leading to garbled or misspelled component labels even when the underlying schematic structure is correct.


Generate a photorealistic Sankey-style flow diagram illustrating the Pareto efficiency frontier for a small residential renewable energy grid, with labeled energy sources (solar, wind, battery storage) and clearly marked optimal trade-off points. Use exact axis labels per academic visualization standards.

Are the Pareto optimal points positioned to represent realistic trade-offs (e.g., between cost, emissions, or reliability) for a residential renewable grid?

Do the axis labels use exact label names (e.g., 'Cost ($)' and 'Efficiency (%)') in a format typical of academic engineering papers?

Split into 'Pareto frontier accuracy' and 'Visual style fidelity', or add a third dimension for 'Style & format' (e.g., Sankey, photorealism).

Labels and trade-off points are clear and accurate

Exact academic standard axis labels for this visualization

Explanation: The prompt requires exact labels per academic standards, but AI models frequently misrender text and incorrectly guess standard labels for specialized technical diagrams.

What are standard axis labels for academic Pareto efficiency frontier diagrams for residential renewable energy systems

Question: Sankey-style Pareto efficiency frontier diagram small residential renewable energy grid academic example

Sankey Diagram Solar Panel System – Sankey Diagrams

Combined Sankey-style Pareto efficiency frontier diagram for renewable energy grids

Explanation: AI models often confuse Sankey flow diagrams (which show flow between nodes) with Pareto frontier plots (which show variable tradeoffs), and will almost always produce an incorrect combined structure without a reference example.

Question: marked optimal trade-off points academic Pareto frontier energy diagram

Pareto Optimal Solution - an overview | ScienceDirect Topics

Academic convention for marking optimal trade-off points on Pareto frontiers

Explanation: Optimal trade-off points are the core analytical feature of the Pareto frontier; AI models often misplace or incorrectly style these points without a reference.


Can you make a photorealistic high-res infographic of the 2024 K League 1 playoff bracket for first-leg fixtures on November 24, 2024? Include official team abbreviations, scheduled kickoff times, seeding ranks, and round labels.

Does the image accurately depict the K League 1 playoff seeding for November 24, 2024 matches?

Uses official K League 1 team abbreviations

Includes correct scheduled match dates/times for each fixture

Correctness of current seeding, matchups, and dates

Readability of text and layout

Use of official team abbreviations and league formatting

2024 K League 1 playoff first-leg matchups, seeding ranks and kickoff times for November 24, 2024

Explanation: This event and its specific schedule details did not exist at the time of model training, so the model will definitely generate incorrect, hallucinated matchups and seeding without up-to-date facts

2024 K League 1 November 24 first leg playoff fixtures, seeding and kickoff times

Official 2024 K League 1 playoff team abbreviations and round labels

Explanation: Official league-specific abbreviations and labels are specific named entity information the model will not retain accurately, and will hallucinate incorrect versions

official 2024 K League 1 team abbreviations for playoff participating teams

Exact text rendering for infographic labels

Explanation: Image generation models are notoriously bad at rendering exact specific text strings correctly, even when they know the content, so pre-confirmed text avoids garbled or wrong labels

full exact text labels for 2024 K League 1 November 24 playoff bracket


Can you make a photorealistic infographic showing Pakistan's January 2026 year-on-year inflation rate? Include the State Bank of Pakistan's official 5–7% target range band, the published headline inflation percentage for that release, and basic advisory notes for staying within the range.

Shows the official headline inflation percentage for Pakistan's January 2026 year-on-year inflation release, as published by the State Bank of Pakistan

Includes advisory notes that align with State Bank of Pakistan's standard communication on inflation targets, such as monetary policy statements or guidance for staying within the target range

Uses Pakistan-appropriate regional formatting

Exact inflation percentage and target range match official 2026 January data

Aligns with State Bank of Pakistan visual guidelines

Includes accurate official guidance

Clear, readable infographic layout

Pakistan January 2026 published headline year-on-year inflation rate

Explanation: This data point does not exist in any training data cut off at mid-2024, so the model will definitely generate a hallucinated incorrect value, which invalidates the entire infographic.

What is the official published headline year-on-year inflation rate for Pakistan January 2026 from State Bank of Pakistan

State Bank of Pakistan 2026 official inflation target range

Explanation: While the prompt mentions a 5-7% range, any changes or updates to the official target for 2026 made after mid-2024 will not be known to the model, leading to factual error.

State Bank of Pakistan official inflation target range for 2026

Official advisory notes text for staying within inflation target range

Explanation: The model cannot know the exact wording of any official advisory notes released alongside the January 2026 inflation report, so it will generate generic or incorrect text content for the infographic.

State Bank of Pakistan advisory notes for meeting 2026 inflation target


Annotated Sankey-style flow diagram illustrating the beta-oxidation spiral in liver peroxisomes, with labeled enzymatic steps, cofactor usage, and end product excretion.

Diagram follows correct sequential order of beta-oxidation steps

All labeled enzymes and cofactors are accurate for peroxisomal beta-oxidation

Flow directions match actual biochemical movement

Labels use standard biological terminology

Correct steps, enzymes, and cofactors

Sankey flow is easy to follow

Correct scientific terminology

Peroxisomal beta-oxidation spiral (step order, cofactor usage, end products)

Explanation: Models commonly confuse peroxisomal beta-oxidation (the target pathway here) with the much more commonly referenced mitochondrial beta-oxidation, leading to completely incorrect pathway structure and component details.

What is the correct order of enzymatic steps, cofactor usage, and end products for beta-oxidation spiral in liver peroxisomes

Specialized text labels for diagram components

Explanation: Image generation models consistently struggle with rendering accurate technical text, especially specialized enzyme and cofactor names common in biochemistry, leading to misspellings or incorrect labels.

Standard labels for peroxisomal beta-oxidation enzymatic steps, cofactors, and end products


Sankey-style flow diagram of the insulin receptor substrate signaling cascade, with clear cellular compartment boundaries and no text labels except standardized pathway abbreviations

Correct sequential order of IRS signaling molecules

Accurate cellular compartment boundaries

Proper flow direction matching biological causality

Approved scientific abbreviations for pathway components

Correct pathway steps and cellular localization

Clear visual hierarchy and flow formatting

Use of approved shorthand labels

Standardized abbreviations for insulin receptor substrate signaling cascade components

Explanation: AI frequently misrenders text and uses non-standard or incorrect abbreviations for niche pathway components, violating the prompt's requirement for only standardized abbreviations.

standardized abbreviations for insulin receptor substrate signaling cascade components

Cellular compartment localization of insulin receptor substrate signaling steps

Explanation: Without reference, models often incorrectly localize signaling steps to wrong cellular compartments (e.g., placing cytoplasmic steps in the nucleus), resulting in a scientifically invalid diagram.

correct cellular compartment locations for insulin receptor substrate signaling cascade steps

Question: Sankey-style insulin receptor substrate signaling cascade diagram with cellular compartment boundaries

Insulin Receptor Signaling

Sankey diagram structure of insulin receptor substrate signaling cascade (flow connections, compartment boundaries)

Explanation: Generative models do not retain accurate knowledge of the exact number of intermediates, flow direction, molecular connections, and correct compartment positions for this specific signaling cascade, leading to a fundamentally incorrect diagram if ungrounded.


Can you render a photorealistic 2024 MotoGP Valencian Grand Prix standings dashboard? It should show the top 10 riders, their official team colors, total points, and games-back delta columns, with the Valencian GP logo in the corner.

Top 10 riders ordered correctly by points

Team colors match 2024 official liveries

Games-back values show points behind the leader, consistent with standard MotoGP standings.

Correct order and points for top 10 riders

Matches official 2024 MotoGP team liveries

Correct games-back (points behind leader) calculations per standard MotoGP standings.

2024 Valencian Grand Prix MotoGP final top 10 rider standings, total points, and games-back deltas

Explanation: The 2024 Valencian Grand Prix takes place in November 2024, after the training cutoff of all mainstream image generation models, so models have no access to the actual final standings and will hallucinate incorrect entries.

What are the 2024 MotoGP Valencian Grand Prix final top 10 rider standings with total points and games-back deltas?

Specific text for rider names, point values, and delta values

Explanation: Image generation models consistently fail to render specific, correct text and numbers for tabular data, often misspelling names or transposing point values even when they have the correct underlying information.

List of 2024 MotoGP Valencian Grand Prix top 10 rider names and correct point totals

Question: 2024 MotoGP top teams official liveries and colors

Go fast, look flash: 2024 MotoGP race bike liveries, ranked | Bike…

2024 official MotoGP team colors for top riders

Explanation: MotoGP team colors and liveries change annually with new sponsorship deals, so 2024 team colors are not present in older training data, leading to incorrect color representation.


Annotated schematic diagram showing the key aspects and impacts of a small urban café’s operations per ISO 14001:2015, with labeled water usage, food waste, energy consumption, and waste disposal streams, formatted as a clean, professional technical illustration.

Follows ISO 14001:2015 aspect categorization rules

Specify standards for technical schematic formatting, e.g., consistent arrow styles, notational conventions, and layout hierarchy.

Specify required types of impacts, e.g., environmental aspects with input/output streams and quantitative indicators.

Follows ISO 14001:2015 requirements

Clear, easy-to-read schematic layout

Correct café operational impact examples

ISO 14001:2015 required content for mapping small café environmental operational impacts

Explanation: AI models lack consistent, accurate knowledge of the specific mandated elements that ISO 14001:2015 requires for documenting environmental impacts of food service operations, so it will hallucinate incorrect or non-compliant diagram content without factual reference.

What does ISO 14001:2015 require for mapping small café environmental operations

Question: labeled ISO 14001 environmental impact schematic for food service

ISO/DIS 14002-2(en), Environmental management systems — Guidelines ...

Accurate labeled text for required impact streams and standard annotations

Explanation: Generative AI consistently fails to render accurate, readable specific text labels for technical diagrams, often garbling standard terminology or mislabeling the four required impact streams (water usage, food waste, etc.) even when the overall structure is correct.


Can you make a photorealistic infographic showing reported air quality index values for Lagos, Nigeria at 2:00 PM local time on October 16, 2024? Include PM2.5 concentrations, the official AQI category for that snapshot, and corresponding health guidance notes.

Specify which official AQI guidelines (e.g., WHO, EPA, or Nigerian NESREA).

PM2.5 value plausible vs Oct 16 2024 Lagos snapshot sources

Background matches Lagos coastal cityscape

Specify which advisory levels (e.g., WHO Air Quality Guidelines or local Nigeria standards).

Expand description to include that PM2.5 values also match retrieved data.

Lagos skyline background is photorealistic and accurate

Clarify which official standards (e.g., WHO, local NESREA).

Reported AQI values, PM2.5 concentration for Lagos Nigeria at 2:00PM October 16 2024

Explanation: All current image generation models are trained on data pre-2024, so they cannot access real-time observed air quality data for this specific date, and will hallucinate incorrect values that defeat the core purpose of the infographic.

Reported air quality and PM2.5 values for Lagos Nigeria at 2PM local time October 16 2024

Nigeria official AQI category classification and corresponding health guidance

Explanation: Different countries use unique AQI scales and official health guidance; generic model knowledge often defaults to US/EU standards which will be inaccurate for Nigeria, leading to incorrect categorization and misleading health advice.

Nigeria official AQI category definitions and health guidance per AQI level

Exact text and numerical values in the infographic

Explanation: Image generation models consistently fail to render exact specific text and numbers correctly, even when the correct values are known, leading to garbled or incorrect data displayed in the final infographic.

Exact text of AQI values, category and health guidance for this Lagos air quality snapshot


I need a photorealistic annotated schematic diagram showing how BGP route leak mitigation using OTC and DO attributes works, based on the 2025 academic research paper. Include labeled network nodes, data flow paths, and failure point markers as described.

Does the diagram include labeled network nodes as mentioned in the prompt (e.g., ASes, routers) with a structure consistent with BGP route leak scenarios?

Are the attributes OTC and DO clearly labeled on the appropriate data flow paths in the schematic?

Do the arrows or flow markers indicate the correct direction of BGP route propagation (e.g., consistent with the prompt's mention of data flow paths?

Are failure point markers placed at locations where route leaks would occur in a typical BGP leak scenario, as implied by the prompt's reference to "failure point markers"?

Diagram correctly represents BGP route leak mitigation using OTC and DO attributes with labeled nodes, flow paths, and failure markers as described in the prompt.

All annotations are correct and easy to read

Data paths follow correct BGP routing logic

2025 academic research specification of BGP route leak mitigation using OTC and DO attributes

Explanation: All common image generation models are trained on data pre-dating mid-2024, so they have no knowledge of the mechanism, node structure, and rules described in this 2025 paper, and will hallucinate a generic incorrect BGP diagram unrelated to this specific mitigation method.

2025 academic paper on BGP route leak mitigation using OTC and DO attributes

Question: annotated schematic diagram of OTC DO BGP route leak mitigation

BGP route leak prevention and detection with the help of RFC 9234 ...

Precise schematic visualization of OTC and DO attribute-based BGP route leak mitigation

Explanation: This requires accurate, specific visualization of abstract technical concepts including network node placement, data flow paths, and failure point locations per the new research. Generic pre-trained BGP knowledge will not produce the correct structure for this specific mitigation technique.

Question: labeled network nodes failure markers BGP mitigation schematic

Leveraging BGP to mitigate network attacks: A comprehensive guide ...

Accurate text labels and failure point markers for technical components

Explanation: Image generation models are notoriously poor at rendering accurate specific technical text labels and placing markers in the correct locations per a specification, leading to mislabeled nodes and incorrect failure point annotations.


Hey, can you make a photorealistic infographic showing the 2024 Liga MX Clausura standings as of October 12, 2024? I need it to include team names, matches played, wins, draws, losses, goals for/against, and total points for each club.

All 18 Liga MX teams are included with correct 2024 Clausura branding

Stats match the October 12, 2024 league release

Columns are properly labeled (Pld, W, D, L, GF, GA, Pts)

Team positions match official standings and all individual stats (W, D, L, GF, GA, Pts) are correct for each team as of 10/12/2024.

Matches official 2024 Liga MX Clausura standings as of 10/12/2024

Uses valid Liga MX team logos and abbreviations

Clear, readable tabular infographic format

Document-style photorealistic rendering

2024 Liga MX Clausura full standings data (team rankings, matches played, wins, draws, losses, goals for/against, total points) as of October 12, 2024

Explanation: All mainstream image generation models are trained on data cut off no later than mid-2024, so they have no access to real-time sports results from October 2024, and will definitely hallucinate incorrect standings and stats without external factual grounding.

Precise text content including team names and all numerical statistics for the standings table

Explanation: Text rendering is a consistent weakness for image generation models, which often misspell team names, scramble numerical values, or produce garbled unreadable text. Grounding with pre-confirmed correct text eliminates these common errors.

Official 2024 Liga MX Clausura team names and full October 12 2024 standings stats

Question: Official Liga MX standings infographic layout

Club America top the Liga MX table (Apertura 2022) after matchday ...

Standard visual layout of a Liga MX standings infographic with all required data columns

Explanation: While the model can generate a generic table, a reference layout ensures the infographic follows standard Liga MX conventions and includes all required columns in the expected order to meet user requirements.


Create a photorealistic annotated schematic diagram of the TLS 1.3 handshake protocol steps, showing client and server network nodes, encrypted message flows, and labeled stage markers.

Specify the order must follow IETF RFC 8446 Section 2 (or the official TLS 1.3 handshake sequence as defined in that RFC).

Define a specific layout convention, e.g., "client on left, server on right, time flowing downward, with labelled arrows for each message."

No outdated TLS 1.2 or earlier steps included

Correct protocol steps and terminology

Expand description to include "easy to read, with clear annotations, and logical flow." to cover all clarity aspects.

Merge completeness with technical_accuracy or redefine completeness to cover optional steps or edge cases not in technical_accuracy.

TLS 1.3 handshake step sequence and encrypted message flow structure

Explanation: Generative models regularly mix up TLS 1.3's streamlined 1-RTT/0-RTT handshake design with the older 2-RTT handshake of TLS 1.2, leading to completely incorrect step ordering.

IETF standard TLS 1.3 handshake step sequence

Accurate technical text labels for handshake stages and messages

Explanation: Image generation models consistently produce garbled or incorrectly named text labels for core TLS 1.3 components like Encrypted Extensions, Key Share, and Finished messages.

standard TLS 1.3 handshake stage and message names

Question: annotated TLS 1.3 handshake schematic diagram

TLS 1.3 /\

Standard schematic layout for TLS 1.3 handshake diagrams

Explanation: Models often incorrectly arrange client/server nodes and misdirect message flow arrows, leading to confusing or misleading diagram structure that deviates from standard technical convention.


Generate a photorealistic, print-style graphic of the 2024 ATP Tour US Open men's singles bracket snapshot as of September 5, 2024, with official tournament branding

Bracket matches 2024 US Open Sept 5 standings

Correct seed numbers and matchups are displayed

Layout follows standard ATP bracket formatting

Matches 2024 US Open men's singles standings as of Sept 5

Correct ATP and US Open logos and styling

Follows standard ATP bracket formatting

Clean, professional print-style design

2024 US Open men's singles match results and advancing players as of September 5, 2024

Explanation: Results from September 5, 2024 are real-time event data that does not exist in the model's pre-2024 training set, and incorrect results invalidate the entire requested snapshot.

What were the 2024 US Open men's singles results and advancing players as of September 5, 2024?

Question: 2024 ATP Tour US Open official tournament branding

2024 US OPEN TENNIS CHAMPIONSHIPS - Commemorative Poster ...

Official 2024 US Open and ATP Tour tournament branding

Explanation: Tournament branding is updated annually for the US Open, so the model will only have memorized outdated older branding, not the specific 2024 official assets required by the prompt.

Question: 2024 US Open men's singles bracket snapshot September 5 2024

US Open Tennis 2025 Results, Tuesday's Bracket Winners, Losers and ...

Official bracket grid structure, player names, and match score text

Explanation: Image generation models consistently struggle to render accurate, legible specific text (player names, scores, round labels) and the precise grid layout of a custom tournament bracket.


Generate a clear, annotated scientific schematic of the insulin receptor substrate (IRS) signaling cascade, with labeled subprocesses and correct molecular structures as described in peer-reviewed biology textbooks

Correct ordered signaling steps
Official protein naming labels
Accurate molecular structure depictions
Clear flow direction arrows
No incorrect pathway additions

Correct cascade steps and official labels

Readable schematic layout

Accurate molecular depictions


Generate a photorealistic infographic-style render of the official 7-day Toronto, Canada weather forecast as issued by the UK Met Office on October 15, 2025 (forecast window October 15–21, 2025), including severe weather warnings active on the publication date, hourly temperature ranges, rain chance percentages, wind speed knots, visibility kilometers, humidity percentages, and UV index tiers for each day.

Specify required branding elements (e.g., UK Met Office logo, typography, colour palette) and whether they must match official Met Office guidelines.

Remove severe weather warning requirement for a hypothetical future date, or ask for warnings consistent with a known past date or generic plausible warnings.

Accurate UV index tiers match official Met Office standards

Specify acceptable value ranges per metric, e.g., "temperatures between -10 and +35°C, rain chance 0-100%", or base on a historical real forecast.</reported dataset.</revision for Toronto in October.

Correct units of measurement (knots, km, %)

Replace "match official Met Office data" with "use plausible values consistent with typical October Toronto weather" or base the evaluation on a real past forecast.

Clear, readable infographic layout with consistent styling

2025 October 15-21 Toronto official weather forecast data from UK Met Office, including severe weather warnings and all required metrics

Explanation: All information for this forecast is for a date after mid-2024, which is beyond the training cutoff of all current image generation models, and no such forecast existed at the time of training. The model will completely hallucinate all weather data without external grounding.

UK Met Office official 7-day Toronto weather forecast October 15-21 2025

Specific text and numerical weather metric values

Explanation: Image generation models are consistently poor at accurately rendering arbitrary specific text and numbers. Even if the correct data is known, ungrounded generation will produce misspelled labels, incorrect numbers, and swapped metric values.

UK Met Office Toronto October 15-21 2025 forecast full text and numerical metrics

Question: UK Met Office official 7-day weather forecast infographic

UK forecast guide - Met Office

UK Met Office official weather forecast infographic visual style and layout

Explanation: The model will only generate a generic infographic by default, not matching the specific official UI layout and design conventions used by the UK Met Office for their public weather forecasts.


Create a photorealistic flat-design sports dashboard render of the 2024 Rugby Championship bracket after September 28, 2024, showing team seeding, completed match results, games back for each team, and official World Rugby tournament branding.

Provide a reference table of the official World Rugby standings as of September 28, 2024 for evaluator comparison.

Include a list of all completed matches with scores for the snapshot date to enable direct verification.

Explicitly define the games-back formula (e.g., difference in wins/losses relative to leader) and ensure all required data (wins, losses) are displayed.

Official World Rugby branding is present

Bracket layout follows standard tournament formatting

Refine description to: "All standings, results, and games-back values match the official World Rugby data as of September 28, 2024, and are calculated correctly."

Clarify criteria: "Dashboard layout is clean, uses adequate contrast, proper hierarchy, and readable fonts for a flat-design style."

2024 Rugby Championship standings, completed match results, and team seeding after September 28, 2024

Explanation: This is real-time, very recent tournament information that post-dates the training data cutoff for all major image generation models, which will reliably hallucinate incorrect results and seeding without external factual lookup

What are the 2024 Rugby Championship standings, results, and team seeding after September 28, 2024?

Specific text and numerical values for match results, team seeding, and games back stats

Explanation: Image generation models are universally poor at rendering accurate, specific text and numbers, even when the underlying correct values are known. Without grounded factual reference, stats will be incorrectly rendered

What are the games back stats for each 2024 Rugby Championship team after September 28, 2024?

Question: Official 2024 Rugby Championship World Rugby logo and branding

IRB becomes World Rugby as new brand is launched | World Rugby

Official World Rugby 2024 Rugby Championship tournament branding and logo

Explanation: Generative models do not retain accurate visual knowledge of the specific official branding for this 2024 tournament, and will almost always produce generic or incorrect logos instead of the official design


Create a photorealistic, professionally formatted infographic showing the 2024-25 Greek Super League Championship Play-Offs bracket after the opening fixtures on May 14, 2025, including each team's points, upcoming match dates, and home stadium names for every fixture.

Follows Greek Super League playoff formatting rules

Matches real-time 2024-25 playoff standings, fixtures, and stadiums

Clear, readable layout with distinct team branding

Follows official Greek Super League playoff infographic standards

2024-25 Greek Super League Championship Play-Offs bracket structure, team positions and points after May 14 2025

Explanation: None of this event data existed when pre-2024 training data was collected, so the model will hallucinate entirely incorrect teams, positions and points without updated factual data.

2024-25 Greek Super League Championship Play-Offs bracket and standings after May 14 2025

Upcoming match dates and home stadium names for each 2024-25 Greek Super League play-off fixture

Explanation: These specific 2024-25 season fixture details are not present in pre-2024 training data, and will be incorrectly generated without updated factual sources.

2024-25 Greek Super League play-off fixture dates and home stadiums after May 14 2025

Specific text content for all teams, points, dates and stadiums in the infographic

Explanation: Image generation models are notoriously poor at rendering accurate, typo-free specific text strings, even when underlying facts are known. Exact text from a web source prevents rendering errors.

full exact text of 2024-25 Greek Super League play-off results and fixtures after May 14 2025


Generate a photorealistic bar chart showing Austria's monthly CPI inflation rates through the August 2025 Statistics Austria release cycle, including year-over-year percentage changes, revision notes, and official source attribution.

Inflation values align with Aug 2025 Statistics Austria CPI cycle

Chart formatting aligns with official Austrian statistical standards

![CDATA[Are CPI revision notes from the August 2025 release included and correctly noted?]]

Matches latest official Austrian CPI inflation data

![CDATA[Clarify what "official standards" means, e.g., specific color schemes or font choices.]]

Includes correct official source credit

High-quality realistic bar chart

Austria August 2025 monthly CPI inflation and year-over-year percentage change data

Explanation: All major image generation models have training cutoffs before mid-2024, so they have no access to actual 2025 official economic data and will generate random incorrect numbers without external grounding.

Austria August 2025 monthly and year-over-year CPI inflation rates from official Statistics Austria release

Exact revision notes and official source attribution text for the August 2025 Statistics Austria CPI release

Explanation: Image generation models consistently fail to render specific text accurately, and will hallucinate incorrect content, misspellings, or wrong attribution without factual reference.

Official revision notes and source attribution for August 2025 Statistics Austria CPI release

Question: Statistics Austria official monthly CPI inflation bar chart example

Austria Inflation Rate

Official Statistics Austria CPI bar chart layout and visual formatting

Explanation: Generic models do not know the specific visual conventions, axis labeling, and design standards Statistics Austria uses for official CPI publications, leading to inaccurate non-standard chart formatting.


Photorealistic annotated cross-section of a human kidney juxtaglomerular apparatus, labeled correctly with anatomical structures and regulatory functions

arrows accurately depict the renin-angiotensin-aldosterone system and tubuloglomerular feedback.

Regulatory arrows match known kidney function

Scale is within 1-2 micrometers for JG apparatus structures as per histology standards.

Exact correct anatomical and functional labeling

Clear, readable labels for all components

Believable tissue texture and lighting

Correct anatomical identities and their associated regulatory functions

Explanation: This prompt requires specialized, accurate scientific knowledge that generic models regularly hallucinate; common errors include misattributing renin secretion, mixing up cell type roles, and omitting key structures. Authoritative web lookup of anatomical facts guarantees correctness.

authoritative list of juxtaglomerular apparatus structures and their regulatory functions

Accurate text rendering of specialized anatomical terminology

Explanation: Generative models are notoriously poor at accurate text rendering, especially for long, rare specialized scientific terms. Pre-defining correct terms from reference avoids garbled or misspelled labels.

standard anatomical terms for juxtaglomerular apparatus structure labels

Question: photorealistic histology cross-section of human kidney juxtaglomerular apparatus

Human Structure Virtual Microscopy

Anatomical arrangement and visual structure of human juxtaglomerular apparatus cross-section

Explanation: Generative models lack consistent exposure to this niche histology structure, and often incorrectly arrange core components such as the macula densa, juxtaglomerular cells, afferent/efferent arterioles, and extraglomerular mesangial cells. Authoritative reference imagery corrects the spatial structure.


生成一张符合上海2025年9月15日发布的官方花粉预警通告格式的写实图片，包含该通告所载花粉浓度等级、敏感人群提示，以及未来2天的花粉浓度趋势折线图（版式可参考检索到的官方示例）。

花粉等级符合上海2024年官方分级标准 趋势示例与2025年9月15日通告格式一致 敏感人群提示内容正确 布局匹配上海官方花粉预警公告样式

花粉浓度数值与等级符合最新官方标准

匹配上海官方花粉预警格式

图表清晰易读

符合官方公告的写实风格

上海2025年9月15日花粉预警通告的核心内容（浓度等级、敏感提示、预报数据）

Explanation: 该通告是2025年才发布的未来官方文件，训练数据中完全不存在相关内容，模型必然会虚构错误的信息

上海2025年9月15日官方花粉预警通告具体内容

Explanation: 模型无法获知通告的准确文字内容，本身渲染精准文本的能力也不足，会生成错字、错误内容或乱码

上海2025年9月15日花粉预警通告完整文本

Question: 上海官方发布花粉预警通告示例

国家卫生健康委和中国气象局联合发布未来一周花粉浓度预报服务提示 ...

上海市官方花粉预警通告的标准版式格式

Explanation: 模型不了解上海当地官方通告的统一版式规范，会生成非官方的错误布局，需要参考官方示例确认视觉结构


生成一张写实的重庆2025年9月15日14时AQI空气质量指数卡片，包含PM2.5浓度、空气质量等级、监测时间戳，以及周边主要污染物占比环形图表（数值应可从同日官方公告或空气质量发布检索）。

AQI等级符合中国2024年官方分级标准

AQI数值与2025年9月15日14时重庆官方公布的AQI值一致

布局匹配重庆市生态环境局发布的实时AQI卡片标准格式（含监测时间戳、AQI数值、等级、首要污染物、占比环形图及色标）

AQI数值、等级及主要污染物占比数据符合最新官方标准与公报

匹配重庆官方AQI卡片格式

图表清晰易读

符合官方公告的写实风格

重庆2025年9月15日14时官方空气质量监测全量数据

Explanation: 该数据是特定时间点的官方公开实时信息，模型无法提前预知或生成准确数值，必然虚构错误的PM2.5浓度、污染物占比等核心数据

重庆2025年9月15日14时官方发布空气质量监测数据

Question: 重庆官方空气质量指数卡片

武汉今日空气质量全国最差污染指数爆表(图)_湖北频道_凤凰网

国内官方空气质量指数卡片的UI视觉规范

Explanation: 官方AQI卡片有统一的布局、配色、模块划分规范，模型容易生成不符合官方发布惯例的错误布局


制作一张基于2025年8月北京市水务或防汛相关部门公开发布的洪水风险情景资料的写实海报级地图，标注重点城区与代表性水文监测站点及示例水位刻度（不含要求当场‘实时刷新’的措辞）。

淹没高程数据与2025年官方发布的一致 城区标签为北京正式行政区名称 水文站数据准确无误 符合中国官方洪水地图制图规范

2025年最新官方洪水风险数据

符合中国官方地图标注标准

细化描述：包含重点城区、代表性水文站、水位刻度等提示词要求元素

清晰易读的色彩编码

2025年8月北京市水务防汛部门公开发布的洪水风险情景资料

Explanation: 该资料的时间在AI模型训练数据截止时间（2024年中）之后，模型完全没有相关知识，无法生成符合要求的洪水风险情景内容

2025年8月北京市水务防汛部门公开发布的洪水风险情景资料

北京市重点城区边界、代表性水文监测站点名称与位置

Explanation: 模型无法准确记住北京防汛相关重点城区的准确边界和水文站点的具体位置、官方名称，容易出现标注错误

北京市防汛洪水风险图重点城区与代表性水文监测站点分布

Question: 北京市水务部门洪水风险地图标注符号与水位刻度示例

北京积水内涝点位图高清版(已覆盖全市16区)- 北京本地宝

洪水风险地图官方符号、水位刻度标注规范

Explanation: 官方洪水风险地图有统一的符号规范和水位刻度标注标准，模型会自行生成不规范的标注样式，不符合官方资料要求


制作一张香港2025年9月15日15时空气质量指数（AQI）写实可视化海报，包含官方分级颜色、该时点污染物浓度与健康建议（依据同日官方发布样式）。

使用香港环保署官方的AQI颜色分级

包含2025年9月15日15时公报示例浓度数据

显示对应AQI等级的官方健康建议

Consider removing or rephrasing to indicate it is optional for realism but not mandatory.

与香港环保署官方AQI数据和标准一致

Clarify by defining metrics like layout balance, color harmony, readability of text.

完整实现用户的可视化海报需求

2025年9月15日15时香港官方AQI及各污染物浓度数据

Explanation: 该未来特定时点的空气质量数据仅能来自香港官方当日发布，不存在于模型训练数据中，没有该数据则海报核心内容完全错误

香港环境保护署2025年9月15日15时官方空气质量数据

香港官方AQI分级对应标准颜色

Explanation: 不同地区AQI分级颜色标准不同，模型无法准确记住香港官方指定的颜色规范，颜色错误会直接违反要求

香港环境保护署AQI分级对应官方颜色标准

香港官方AQI对应的健康建议文本内容

Explanation: 香港官方健康建议有标准的措辞和内容，模型容易生成通用而非官方准确的文本，影响内容准确性

香港官方AQI分级对应健康建议内容

Question: 香港环境保护署官方AQI发布海报样式

EPD AQHI : 空气质素健康指数宣传单张及海报

香港官方发布AQI信息的海报版式样式

Explanation: 提示要求遵循同日官方发布样式，官方发布有特定的排版、元素布局规范，模型无法准确还原，需要参考真实样式


制作一张写实风格的重庆2025年9月15日花粉浓度预警卡片，需包含中国气象局口径的花粉指数分级、该时点PM2.5与PM10数值及对应健康防护建议。

进一步定义写实风格（如真实照片质感、自然纹理、光影）和预警卡片规范（如色彩方案、布局要求、单位/图标使用）。

将“202月9月15日”改为“2025年9年9月15日”，并明确为“包含2025年9月15日重庆日报的PM2.5与PM10数值”。

补充为“健康建议符合《中国气象局健康防护指引》或类似官方文件”。

卡片风格写实且符合预警卡片规范

将描述改为“使用中国气象局发布的官方数据和分级标准”。

符合中国气象局预警卡片的设计规范

文字和数值清晰易读

中国气象局官方花粉指数分级标准

Explanation: 模型无法准确记住中国气象局的官方分级口径，容易混淆其他机构的分级规则，出现事实错误

中国气象局官方发布的花粉指数分级标准

2025年9月15日重庆该时点PM2.5、PM10与花粉浓度数值

Explanation: 该时点属于未来特定时间，暂无公开观测/预报数据，模型会凭空编造错误数值

对应花粉分级、PM数值的官方健康防护建议

Explanation: 模型容易混淆不同级别对应的防护要求，给出非官方的错误建议，不符合中国气象局口径要求

中国气象局 花粉浓度 PM2.5对应健康防护建议

Explanation: AI生成图像容易出现文字错漏、乱码，提前获取准确文字内容可以避免渲染错误

中国气象局花粉预警卡片标准文字内容


生成2024年喀麦隆年度平均通货膨胀率的柱状信息图表，包含1980至2024年的历史数据对比和官方来源标注

Accurate 2024 Cameroon inflation rate value

Correct historical data points for 1980-2024

Reword to "Chart contains title, axis labels, legend, and appropriate font sizes".

Correct inflation rate data for all years

Change to "Compliance with general chart formatting standards (e.g., consistent scale, source label)".

Clear, easy-to-understand visual presentation

2024年喀麦隆年度平均通货膨胀率

Explanation: 2024年的年度通胀数据属于最新的实时经济统计信息，超出AI训练数据的时间范围，AI会直接编造错误数据，造成整个图表的核心错误

2024年喀麦隆年度平均通货膨胀率 官方统计数据

1980至2023年喀麦隆年度通货膨胀率历史数据

Explanation: AI无法准确记住数十年跨度的精确年度经济数据，大概率会编造错误的历史数值，导致整个对比图表失去准确性

1980到2023年喀麦隆年度通货膨胀率 历史数据集

信息图表的数值文本与官方来源标注

Explanation: AI天生存在文本渲染缺陷，即使获取了正确内容也容易生成乱码、错字和错误数值，无法保证标注内容准确

喀麦隆通货膨胀率数据 官方来源名称


请生成一张符合官方制图标准的西班牙飞地利维亚（Llívia）的实景渲染图，展示其位于法国境内的精确地理位置、边界围栏以及周边法国小镇的日常环境，无错误的边界标注。

利维亚飞地位置准确位于法国境内 边界围栏样式（如栅栏类型、颜色、高度）与官方记录一致 周边环境与真实地形一致 地图标注无错误地理信息

正确的飞地位置和边界细节

可信的周边环境

符合官方制图标准的标注

西班牙飞地利维亚（Llívia）的精确地理位置与官方边界轮廓

Explanation: 利维亚是非常小众的特殊飞地，生成模型的训练数据中缺乏其精确边界的权威准确信息，极易将其错误绘制为与西班牙本土相连或边界位置出错，直接导致结果完全不符合要求

西班牙飞地利维亚Llívia的官方精确边界地理信息

符合官方制图标准的飞地边界标注规范

Explanation: 官方制图对跨国飞地的边界标注有特定的符号、文字规范，生成模型不掌握这类专业标准要求，容易出现标注错误，不符合无错误标注的要求

跨国飞地边界的官方制图标注标准


请创作一幅写实插画，展现斯拉夫神话中与睡眠瘫痪相关的玛拉（Mara）恶灵，需要包含准确的文化符号和形象细节

补充具体描述：玛拉通常被描绘为身穿白衣、长发披散，有时呈黑雾状，符合斯拉夫民俗中与睡眠瘫痪相关的恶灵形象。

明确驱邪符号示例：如门上放护身符、摆放扫帚、使用盐或圣水等斯拉夫传统驱邪方式。

场景设定符合睡眠瘫痪的现实环境

明确避免的元素示例：如白色鬼影、链子声、中世纪欧洲造型等典型的西方幽灵特征。

玛拉形象和符号是否符合斯拉夫民俗传统

场景的恐怖氛围是否贴合主题

卧室场景的写实程度

斯拉夫神话中与睡眠瘫痪相关的玛拉（Mara）恶灵的正统文化形象

Explanation: 玛拉是斯拉夫神话中冷门的文化特定角色，训练数据中常将其与莉莉丝等其他文化的梦魇恶灵、或其他地区同名神话角色混淆，无法生成符合斯拉夫文化设定的准确基础形象

斯拉夫神话中玛拉（Mara）恶灵的权威形象描述

玛拉恶灵绑定的专属斯拉夫文化符号

Explanation: 用户要求包含准确的文化符号，模型自身知识不了解玛拉对应的专属文化元素，会随机添加无关符号，无法满足准确呈现的要求

斯拉夫神话玛拉恶灵关联的文化符号有哪些

Question: 斯拉夫神话玛拉恶灵 传统艺术描绘

斯拉夫神话: 5种生物、神话和故事- 知乎

玛拉恶灵的传统视觉呈现参考

Explanation: 仅通过文字描述模型仍可能错漏视觉细节，参考已有的权威艺术呈现能帮助对齐形象细节，符合写实创作要求


请生成2025年10月15日上海紫外线指数提示卡片（以同日气象台公开公报的分级与数值口径为准），包含正确的颜色分级和官方户外防护建议。

符合中国官方的紫外线指数颜色分级标准

Use a past date with available official data or ask for a plausible example value consistent with the bulletin format without requiring exact accuracy.

上海市官方发布的户外防护建议

Extend description to: "公报口径紫外线指数与分级标准正确无误，且官方户外防护建议准确无误"

卡片布局合理，文字和图形易于阅读

符合中国官方健康防护指南要求

2025年10月15日上海气象台公开的紫外线指数数值与分级结果

Explanation: 该数据是目标日期才会公开的官方实时气象信息，模型训练数据截止远早于该日期，完全无法预知准确结果，是生成内容正确的核心前提

2025年10月15日上海气象台发布的紫外线指数公报

上海气象局紫外线指数官方颜色分级标准

Explanation: 不同地区、不同机构的紫外线颜色分级对应规则存在差异，模型容易混淆通用标准，无法准确匹配上海官方的符号规范

上海气象局紫外线指数颜色分级标准

上海官方紫外线户外防护建议文本内容

Explanation: 官方防护建议有固定的口径和表述内容，模型容易生成泛化错误的建议，无法匹配官方要求的口径

上海紫外线指数官方户外防护建议


制作一张写实风格的武汉2024年7月15日的紫外线指数和高温预警卡片，包含时段分级、防护建议和公报所载示例数值（不要求瞬时刷新）。

UV index matches July 15, 2024 Wuhan data

High temperature alert tier is correct for Wuhan 2024

Protection advice matches CMA guidelines

Card layout matches standard Chinese weather alerts

Exact UV and temperature data for the specified date

Uses official Chinese meteorological agency warning standards

High-quality, realistic card render

2024年7月15日武汉官方公报的紫外线指数、高温预警具体数值与等级

Explanation: 模型训练数据截止至2024年中期之前，无法获取该特定日期武汉发布的权威实时气象数据，核心数值错误会导致卡片完全不符合要求

2024年7月15日武汉气象局发布的紫外线指数和高温预警数据

紫外线指数时段分级、官方标准防护建议的文本内容

Explanation: 官方预警的分级规则和防护建议有标准统一的表述，模型容易生成不规范、错误的文本内容，需要权威内容参考

中国气象局紫外线指数分级标准和防护建议

Question: 中国官方紫外线高温预警卡片样式

高温预警知识海报-海报DM-百图汇素材网

国内官方气象预警卡片的标准视觉版式与设计规范

Explanation: 官方预警卡片有统一的UI设计规范，模型生成的版式通常会不符合官方要求，参考实际设计能保证视觉准确性


请生成一张符合中国气象局官方标准的北京2025年10月15日紫外线指数预警卡片，包含分级色带、公报所载紫外线指数数值、当日最高气温和针对性防护建议。

紫外线分级符合中国气象局官方标准 数据与2025年10月15日北京公报示例一致 防护建议符合官方健康指南 标识和排版符合官方预警卡片规范 颜色编码准确无误

正确使用中国气象局官方紫外线指数颜色分级

Change description to "匹配2025年10月15日北京官方气象数据" to align with the user prompt.

使用官方推荐的防护建议

Revise description to "符合官方预警卡片的视觉规范，包括分级色带、数值、气温和防护建议的排版与配色清晰准确" to match prompt requirements.

北京2025年10月15日紫外线指数、最高气温预报数据

Explanation: 模型无法预知未来特定日期的官方气象数据，没有该准确信息就无法生成符合要求的卡片内容

北京2025年10月15日官方预报紫外线指数和最高气温

中国气象局紫外线指数分级标准及对应色带规范

Explanation: 中国气象局对紫外线分级区间和对应颜色有统一官方标准，模型容易混淆分级与对应色值，需要准确规范才能正确呈现

中国气象局官方紫外线指数分级及色带标准

对应紫外线等级的官方防护建议文本及卡片内容文本

Explanation: 模型容易生成错误的防护建议内容，同时AI图像生成普遍存在文本渲染错误，获取准确官方文本才能保证内容正确

中国气象局不同紫外线指数对应的官方防护建议