Agent Entourage

Overview

Agent Entourage defines the operational model and roles for a specialized, multi-AI development team working within a single repository truth. It establishes clear lines of authority, ensuring that while multiple advanced models (Codex, Gemini, Claude, Grok, Comet) contribute expertise, the final, authoritative execution path remains controlled by Codex on the main branch.

This framework is designed for large, complex software projects requiring diverse inputs—from deep research to adversarial testing and UI refinement—without sacrificing version control integrity.

Capabilities

• Role Definition: Clearly assigns primary tooling, roles, and authority levels to each constituent AI agent (e.g., Codex owns main execution truth).
• Operational Model Enforcement: Dictates the workflow hierarchy, ensuring peer collaboration while maintaining a single source of truth (Trollz1004/ANTIGRAVITY).
• Specialized Task Delegation: Coordinates distinct functions like research (Comet), UI validation (Gemini), and adversarial auditing (Grok).
• Automation Layer Management: Oversees scheduled local proofs and monitoring tools running on the development environment.

Example Use Cases

1. Feature Implementation Cycle: A new feature requires initial design mockups from Gemini, deep competitive research from Comet, backend logic drafting from Claude, and final integration/commit sequencing managed by Codex.
2. Security Hardening: When a vulnerability is suspected, Grok can be activated to perform an adversarial audit against the current codebase state, followed by remediation suggestions passed back through the core team.
3. Complex Refactoring: For large-scale refactors, Entourage ensures that drafts are generated locally (Mini Claudes) but only validated and merged into the main truth path after passing checks from multiple specialized agents.