AI Council: Research-Backed Multiagent Debate

Three expert AI models deliberate through structured debate to reach consensus. Based on MIT research proving this methodology significantly improves factual accuracy. Here's exactly what we've built, what's in progress, and where we're headed.

MIT-Proven
Research-backed
Self-Learning
Autonomous Router
21+
Auto-Discovered
$0.20
Per 10K queries

AI Council Deliberation

Live in ProductionMIT-proven methodology • Research-backed accuracy

Three expert AI models debate your question over 3 rounds of deliberation. They critique each other's reasoning, challenge assumptions, and reach consensus through structured debate. Based on MIT research proving multiagent debate significantly improves factual accuracy across complex reasoning tasks.

How it works:

  • Round 1: Each model reflects privately and forms initial response
  • Round 2-3: Models share answers and critique each other's reasoning
  • Synthesis: AI-powered consensus detection produces final answer

8 Specialized Councils:

  • Business Strategy, Financial Analysis, Technical Architecture
  • Legal Review, Medical Consultation, Academic Research
  • Creative Writing, Quick Decision (fast & budget-friendly)

Model Autopilot V4.1 + Learning System

Live in ProductionContinuously learning and improving

V4.1 pattern router provides instant suggestions (10ms). Learning pipeline runs nightly, analyzing routing decisions and continuously improving performance over time. Fully autonomous—no manual training needed.

Three-tier architecture:

  • Learned patterns (0ms, fastest)
  • V4.1 pattern matching (10ms, baseline)
  • LLM fallback for edge cases (150ms)

Autonomous learning:

  • Nightly analysis of routing decisions
  • Continuously improves over time
  • Zero manual intervention needed
  • Cost:$0.20 per 10,000 queries

Multi-Model Chat Interface

Fully FunctionalManual selection + smart suggestions
OpenAI GPT
Latest GPT models
Anthropic Claude
Latest Sonnet & Opus
Perplexity
Real-time research
Google Gemini
Latest Gemini Pro
DeepSeek
Advanced reasoning
More Models
Always expanding

Dynamic Model Registry

Live in Production21+ models • Auto-discovered daily

Automatically discovers new models from OpenAI, Anthropic, Google, and Perplexity APIs. Tracks pricing changes, new capabilities, and deprecations. Zero manual updates needed.

Daily discovery cron (1 AM):

  • New model releases
  • Price updates
  • Capability changes
  • Deprecation notices

Self-healing architecture:

  • Database-backed registry with 5-min cache
  • Learning system auto-adapts to new models
  • Tracks model change history
  • Zero manual intervention needed

Design System 2.0

CompleteNavy Teal theme • Full accessibility

Theme System

  • Navy Dark (default)
  • Dawn Light mode
  • CSS variable architecture

Typography

  • 3 font choices
  • Adjustable size/spacing
  • Quick accessibility presets

Performance

  • First paint < 1s
  • Interactive < 2s
  • Mobile optimized

Security & Auth

Production ReadyOAuth + Cloudflare protection

Authentication

  • Google OAuth integration
  • Apple Sign In
  • Facebook login
  • Profile picture sync

Protection

  • Cloudflare Turnstile (invisible captcha)
  • Rate limiting per tier
  • Private beta access control
  • Input sanitization

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