
Agent Parliament
Multi-agent legislative simulator that debates, votes, and synthesizes complex engineering and architectural decisions.
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The Problem
Engineering teams spend excessive time in sync meetings debating architectural trade-offs, leading to decision paralysis or unmitigated compliance risks.
The Solution
Architected a multi-agent framework where specialized personas represent key viewpoints (innovation, risk, user experience, compliance), converging on optimized decisions autonomously.
Key Features
Simulated multi-agent debate using distinct persona prompt frameworks
Structured output synthesis utilizing consensus algorithms and weighted voting
Interactive dashboard for submitting motions and visualizing debate logs
State-persistent session storage and markdown export of synthesized decisions
Deep Dive
Agent Parliament is a legislative simulation framework that automates collaborative decision-making for development teams. The platform spawns dedicated AI agents (Optimist, Pessimist, Engineer, Lawyer, User Advocate) to debate technical proposals across regulatory, design, UX, and operational criteria. A neutral Speaker synthesizes the debate using weighted voting and consensus algorithms, outputting a complete markdown decision document with confidence scores, unanimous agreements, dissents, and concrete action items.