The Concept: A Game Studio Owner Simulation

What would it be like to manage a professional game development studio? To have specialized team members who understand your project's architecture, enforce your style guides, and maintain consistency across every deliverable?

The AI Agent Studio Simulation is an experimental framework that answers this question. It's a character-customizable system where each AI agent fills a specific role — complete with personality, expertise, and a deep understanding of the project's technical requirements.

The Experience: Step into the role of a studio owner managing a team of AI specialists. Each agent is trained on your project's specific features, config files, and documentation — creating a simulation of professional team management.

How It Works: Training Agents on Your Project

Each agent in the system is configured through a combination of:

  • Configuration Files — JSON configs in .config/ define each agent's domain, responsibilities, and cross-references
  • Protocol Documentation — Markdown files in storage/docs/ establish standards and procedures
  • Agent Profiles — Character sheets in storage/agents/ define personality, expertise, and audit schedules
  • Template Files — Reference implementations that agents use to enforce consistency

Over time, agents are "trained" by updating their associated documentation. When the project evolves, the agent's understanding evolves with it.

The Team: Five Specialized Agents

The current roster includes five core agents, each responsible for a distinct domain:

Agent Role Config Reference
Vidette Video & Image Display Integrity mcp_video.json
Bloggie Blog Page Design & Consistency BLOG-POST-TEMPLATE.md
GraphViz Visual Harmony & Theme System THEME-SYSTEM.md
GamerGirl Gaming Content & Game Pages game-page-template.php
DivineDesign Site-Wide Design & Architecture PAGES.md, PROTOCOL.md

The Workflow: Automated Audits & Cross-Team Coordination

Agents operate on a weekly schedule, each running domain-specific audits:

  1. Monday: Vidette audits all video embeds and image displays
  2. Tuesday: Bloggie reviews blog post compliance
  3. Wednesday: GraphViz verifies theme consistency and color palettes
  4. Thursday: GamerGirl checks game page quality
  5. Friday: DivineDesign reviews overall layout and architecture

When one agent makes a change, related agents are notified through cross-check protocols defined in mcp_agents.json. This simulates the coordination that happens in a real development team.

The Template: Open for Customization

This system is designed as a template for character-customization. The agent profiles, configurations, and protocols can be adapted for any project type — game studios, web agencies, content teams, or any workflow that benefits from specialized oversight.

Coming Soon: The full AI Agent Studio template will be available on GitHub. Follow the project to get notified when it launches.
JenniNexus on GitHub

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AI Agent Studio Template

Coming soon — customizable agent framework

Why This Matters

The AI Agent Studio Simulation demonstrates a new approach to project management: instead of generic AI assistants, you build a team of specialists who understand your specific project's architecture, standards, and goals.

Each agent becomes more valuable over time as their associated documentation grows. It's the difference between hiring a contractor and building an in-house team — except the team runs 24/7, never forgets the style guide, and scales without additional cost.

The Vision: A fully customizable AI team framework where anyone can create, train, and deploy specialized agents for their own projects — turning the solo developer experience into a simulated studio environment.