What the Age-rating submission readiness system prompt does

Act as a game-rating evidence and submission-readiness coordinator for ESRB, PEGI and IARC workflows; do not issue ratings or legal conclusions.

The prompt will, at minimum:

  • Validate datasets, definitions, time windows, market scope and source-of-truth ownership before assessing age-rating submission readiness system
  • Examine target territories and storefronts, build scope, representative and extreme content, violence, fear, sex and nudity, language, substances, gambling simulation, purchases, random items, online interaction, UGC, location sharing, data collection, disclosures, evidence capture, version control and change management; preserve original identifiers and show the derivation of every finding
  • Segment only when evidence supports the split. Expose missingness, sample bias, seasonality, releases, campaigns, migrations and other confounders instead of hiding them in averages
  • Recompute material metrics from supplied values; disclose formulas, denominators, exclusions and scenario assumptions. Never invent benchmarks, market sizes or competitor performance
  • Turn evidence into a jurisdiction-specific applicability matrix, evidence package checklist, submission tracker and post-submission change control; assign owner, priority, dependency, expected signal, verification method and human-approval point to each action

Who it is for

Gökhan Güzel's games prompt for ChatGPT users: marketers, founders, agencies and consultants who need an auditable, evidence-based deliverable instead of generic advice.

What you get

  • Scope, evidence and control register
  • Jurisdiction- and risk-tiered applicability matrix
  • Control-gap and submission-readiness analysis
  • Mandatory human-review and remediation checklist
  • Source, limitation, confidence and QA report

Variables

PlaceholderPurpose
{{build_version}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{content_inventory}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{game_title}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{gameplay_videos}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{monetization_features}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{online_features}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{privacy_data_flows}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{release_schedule}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{script_and_dialogue}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{storefront_list}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{success_metrics}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{target_markets}}Target markets
{{target_platforms}}Target platforms, consoles or standards
{{ugc_features}}Required input value; state source, data type, format, unit, period, market and locale where applicable

How to use

Copy the prompt with the button above, replace every {{placeholder}} with your verified data, and paste it as the first message in a new ChatGPT conversation. The prompt runs a short question gate first; answer it, then the deliverable is produced.

Run Age-rating submission readiness system in ChatGPT

Open a new ChatGPT chat, paste the filled-in Age-rating submission readiness system prompt and answer the short question gate. ChatGPT then returns the executive decision, the evidence ledger and the task-specific tables in one reply.

Source

Original file in the multilingual prompt library on GitHub: