Multi-LLM Council ArchitecturecodingFeatured Reel

Multi-Agent Code Peer Review Protocol

Why rely on a single model when you can convene a council? In this architecture, Claude drafts the code, ChatGPT critiques logic bugs, and Gemini fact-checks citations, producing near-zero hallucination rates.

Open Multi-LLM Council Architecture

Length~32 words

Token Estimate~43 tokens

Recommended ToolMulti-LLM Council Architecture

Published2026-08-18

Instagram Prompt Carousel (Swipeable Slides)

Watch on Instagram

Multi-Agent Code Peer Review Protocol Instagram Prompt Carousel

@thefutureguyy.aiCarousel

Click to load interactive Instagram carousel

Copy-Paste Prompt Template

Act as the Moderator of an LLM Council. Present this code to Model A (Architect) for refactoring, then prompt Model B (Security Auditor) to attack it, and finally synthesize the hardened output.

How to Run This Prompt

1Set up an orchestration script connecting to your favorite LLM APIs.
2Configure the sequential debate protocol defined in the repository.
3Enjoy thoroughly stress-tested code and zero obvious oversights.

More Prompts from Recent Reels

All Prompts

Prompt Carousel

TerminalBench Frontier Code Architect

OpenAI introduces the GPT-5.6 three-tier model family: Sol for frontier coding and reasoning (scoring 91.9% on TerminalBench), Terra as the balanced daily driver, and Luna for ultra-fast, cost-effective high-volume tasks.

Act as a principal software engineer. Analyze the following full-stack architecture for performance bottlenecks, concurrency race conditions, and memory leaks. Provide refactored code with strict TypeScript types, unit tests, and asymptotic complexity analysis.

OpenAI GPT-5.6 (Sol, Terra, Luna)View Carousel

Prompt Carousel

Context Session State Compressor

You don't hit Claude limits because you send too many questions—you hit them because every message re-sends the entire preceding conversation history. Learn prompt caching, sub-threading, and context reset tactics.

Summarize our entire ongoing technical session into a concise 150-word state summary. List: Current Goal, Confirmed Architecture Decisions, Unresolved Bugs, and Next Immediate Action. Drop all intermediate logs.

Claude Token & Context Optimization View Carousel