Multi-Model Architecture

AI Review Board

Three AI models — Gemini, Codex, and Claude — review the same artifact independently to catch what any single model might miss

ai-servicers.com

What is the Review Board?

Mature organizations don't rely on one genius. They use planning, specialized knowledge, roles, and governance.

The Review Board applies this same idea to AI: instead of trusting a single model's output, you dispatch the same prompt to multiple independent models and compare results.

When models agree — confidence is high. When models disagree — the issue is flagged for deeper investigation or human judgment.

Every model has blind spots. Multiple models provide overlapping coverage.

Three Independent AI Nodes

🟢

Gemini

Primary Consultant

Google Gemini. Internet search enabled. Use first for all consultations, code review, and research.

🔵

Codex

Alternate Perspective

OpenAI ChatGPT via Codex CLI. Different training data and reasoning patterns. Use when a third opinion is needed.

🟣

Claude

Deep Analysis

Anthropic Claude Sonnet. Long-context analysis, architectural review, and complex reasoning tasks.

Each node runs in a Docker container on mcp-net with read-only access to /home/administrator/projects

Architecture

Dispatch flows from Claude Code CLI through the MCP code-executor to each review node

Claude Code CLI
→
MCP Tool
dispatch_to_reviewboard
→
Code Executor API
:9091
routes to target node
reviewboard-gemini
Gemini CLI
reviewboard-codex
Codex CLI
reviewboard-claude
Claude CLI

Shared Workspace (Read-Only)

All three nodes mount /home/administrator/projects as /workspace. They can read and analyze any project file — code, configs, documentation — but cannot make changes.

How to Use It

Call the MCP tool directly from any Claude Code session

MCP Tool Call

dispatch_to_reviewboard(prompt, target, timeout)

  • target: "gemini", "codex", or "claude"
  • timeout: seconds to wait (default 900 = 15 minutes)
  • Returns the model's full response as a string
  • 1 Ask Gemini first — primary consultant for all reviews and code questions
  • 2 Refine and retry — if the response is insufficient, adjust the prompt and ask Gemini again
  • 3 Ask Codex — for a third opinion when you need a contrasting perspective
  • 4 Ask Claude — for deep analysis requiring complex architectural reasoning

When to Use the Review Board

Code review
Security audit
Architecture design
Database schema
API contract review
Spec validation
Second opinion on a plan
Debugging a tricky issue
Pre-production review
Research & best practices

Real Example: API Design

Gemini caught inconsistent error response formats. Codex flagged missing rate limiting. Both issues fixed before client integration began — at zero cost compared to fixing them after deployment.

The Winning Approach

"The winning approach isn't deploying the smartest model — it's building AI teams that behave like high-performing human teams."

Each model was trained differently. Each has blind spots. When Gemini, Codex, and Claude all agree on a concern — you can act with confidence. When they disagree — you've found exactly where human judgment is needed.

🏁
Consensus
High confidence
⚠️
Disagreement
Flag for review
🛑
Critical issue
Block immediately

AI Review Board • ai-servicers.com