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 — Generic sheets in the Agency repo; JN overrides in storage/agency/projects/jenninexus/
  • 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: Specialized Agents

The studio launched with five core agents and has grown. Each agent owns a distinct domain and runs weekly audits against project documentation:

Agent Role
Vidette Video & Image Display Integrity
Bloggie Blog Page Design & Consistency
GraphViz Visual Harmony & Theme System
GamerGirl Gaming Content & Game Pages
DivineDesign Site-Wide Design & Architecture
Metrica Analytics, SEO & Data Integrity
Vixel VR Dev, Creative Tools & Capsule Art
Bloggie — Blog Design agent
Bloggie
Blog Design
GraphViz — Visual Harmony agent
GraphViz
Visual Harmony
GamerGirl — Gaming Content agent
GamerGirl
Gaming Content
Vidette — Video & Images agent
Vidette
Video & Images
DivineDesign — Architecture agent
DivineDesign
Architecture
Metrica — Analytics agent
Metrica
Analytics
Vixel — VR & Creative agent
Vixel
VR & Creative

Meet the full team

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 each agent's config. 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.

Now Available: The AI Agent Agency framework is open source on GitHub. Clone it, customize the agents, and build your own virtual studio team.

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.

This framework isn't just theory — it actively powers the production workflows across several of our own projects. From game page audits to design token compliance checks, the agents handle real ongoing work across multiple websites and codebases. What started as an experiment for one site has expanded into a shared studio infrastructure.

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.

What's Next: From Docs to Discord

January's post was about agents living in configs and weekly audits. The July update is the next beat: those same desks now have a public face in Discord through Jenni Bot — slash commands, optional loft chat, and the same accent colors from the Agency studio page.

The framework stays open source. The Discord loft is how the simulation meets the community — not a replacement for the audit scripts, but the room where the cast shows up.