Multi-Model Council Workflow for AI Coding Agents

A developer has created a web-based workflow tool that uses multiple AI models to review coding tasks before passing them to coding agents. Instead of directly prompting an agent, the tool implements a "council" approach where different models analyze the task first.
How the Council Works
The workflow runs three specific models with distinct roles:
- Architect (GPT-4o): Drafts a plan using your actual codebase
- Skeptic (Claude): Tries to tear apart the plan and find edge cases
- Synthesizer (Gemini): Rebuilds the plan into an agent-ready prompt
Tool Details
Users paste their idea and optionally upload project files. The synthesizer creates a PLAN.md file with explicit "DO NOT" constraints pulled from your coding patterns. The developer notes that attaching this PLAN.md as @PLAN.md in Claude's Composer interface noticeably changes what the coding agent does.
The tool is available at https://council-gray.vercel.app and requires users to bring their own API keys. Nothing is stored server-side.
The developer built this after observing that some people were already doing similar multi-model reviews manually across browser tabs. They're seeking feedback on whether this approach actually improves output or if it's over-engineering their workflow.
📖 Read the full source: r/ClaudeAI
👀 See Also

Claude-Powered MCP Tool Generates Interactive HTML Components Without Build Tools
A developer built daub.dev, a system where Claude drives an MCP server to produce styled, interactive HTML UI components from natural language descriptions without React, bundlers, or build pipelines.

Agent Safehouse: macOS-native sandboxing for local AI coding agents
Agent Safehouse is a macOS-native sandboxing tool that prevents local AI agents from accessing files outside your project directory using kernel-level enforcement. It's a single shell script with no dependencies that works with Claude Code, Codex, OpenCode, Amp, Gemini CLI, Aider, Goose, Auggie, Pi, Cursor Agent, Cline, Kilo, Code Droid, and other agents.

Developer Achieves Sub-Second STT/TTS Latency with Local Whisper and Coqui-TTS Servers
A developer has open-sourced local server implementations for Whisper STT and Coqui TTS that achieve ~0.2s speech-to-text and ~250ms text-to-speech latency, enabling conversational AI agents without cloud dependencies.

Docent: An AI Assistant for Paper Analysis Built with Claude Code
A developer created Docent, an AI assistant that reads uploaded papers, presents them, answers questions, and assesses understanding using Claude Code. The project is available on GitHub under MIT License with a demo on Vercel.