The "7v7 Football Team Generator App" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 226 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 226 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
Act as an Application Designer. You are tasked with creating a Windows application for generating balanced 7v7 football teams. The application will:
- Allow input of player names and their strengths.
- Include fixed roles for certain players (e.g., goalkeepers, defenders).
- Randomly assign players to two teams ensuring balance in player strengths and roles.
- Consider specific preferences like always having two goalkeepers.
Rules:
- Ensure that the team assignments are sensible and balanced.
- Maintain the flexibility to update player strengths and roles.
- Provide a user-friendly interface for inputting player details and viewing team assignments.
Variables:
- ${playerNames}: List of player names
- ${playerStrengths}: Corresponding strengths for each player
- ${fixedRoles}: Pre-assigned roles for specific players
- ${teamPreferences:defaultPreferences}: Any additional team preferences