Pain points identified
What's broken
- Multiple AI subscriptions ($100+/month combined)
- No way to compare model outputs side-by-side
- AI-generated content flagged by detection tools
- No collaboration features for teams
- Context lost in long conversations
All case studies
Case study · AI Colosseum
Building AI Colosseum, a multi-AI orchestration platform.
How we built a comprehensive AI orchestration platform that unifies 16 models (9 standard + 7 premium variants), Round Table multi-AI consensus, multi-agent Workflows, anti-detection Humanize, and image vision — all served from a Neon Postgres backend on Google Cloud Run.
16
AI models
5
Subscription tiers
22
Postgres tables
10K+
Active users
Client
AI Colosseum
Industry
AI / SaaS Platform
Services
Full-stack development
A fragmented AI landscape.
Users juggle multiple subscriptions, learn different interfaces, and manually compare outputs when they need the best answer. Enterprises need compliance, team features, and cost control — but existing solutions offer none of this.
Goals defined
What we built
- Single subscription for all major AI models
- Multi-AI discussions for better answers
- Humanize AI text to bypass detection
- Enterprise-ready with team workspaces
- Intelligent context management
A unified AI orchestration platform.
Designed and built from the ground up — a full-stack SaaS platform that orchestrates multiple AI providers through a unified, intuitive interface.
01
Multi-Model AI Chat (16 Models)
Unified interface across 9 standard models (ChatGPT, Claude, Gemini, Mistral, Perplexity, Grok, DeepSeek, Llama, Cohere) plus 7 premium variants (GPT-4o, Claude 3.5 Sonnet, Gemini Premium, Mistral Premium, Perplexity sonar-pro, Llama 70B-Turbo, Cohere Command R+). Premium models never silently degrade.
- Real-time WebSocket streaming with sticky model header
- Image vision support across all providers
- Multimodal file uploads — code, docs, images
- Automatic failover with provider-specific cooldowns
02
Round Table + Workflows
Round Table runs models in parallel or sequence with consensus voting; tier-scaled (Pro 3×3, Colosseum 5×5). Workflows orchestrates multi-agent pipelines (sequential, parallel, conditional) with a public marketplace and templates.
- Round Table presets: Code Review Panel, Essay Editor, Debate Club
- Workflows marketplace with trending algorithms
- Dynamic credit calculation by token usage
- Team collaboration on shared workflows
03
Humanize (Anti-Detection)
Production-grade anti-detection: GPTZero scoring + backtranslation + post-processing. Single-pass with Refine Again button. Tier-restricted: 5/month for Starter, unlimited for Pro+.
- GPTZero API integration for live AI-detection scoring
- Grade-based transformations (A+, A, B+, B, C, D)
- 4 tone options: Academic, Professional, Casual, Creative
- Vision surcharge for image-input transformations
04
5-Tier Subscription System
Stripe-powered billing across Free (100 credits), Starter ($9.99 / 500), Pro (2,000), Colosseum (10,000), and Enterprise (unlimited). Model-specific credit multipliers, automatic renewal, and team-based access elevation.
- 5 tiers — Starter $9.99 added April 2026 below Pro
- Team-based model access elevation (members inherit owner perks)
- Credit pooling across team members
- Token-based team invitations with status tracking
Stack and infrastructure.
Frontend stack
- Next.js 15.5 with App Router & Turbopack
- React 19.1 with concurrent features
- TypeScript strict mode
- Tailwind CSS 3.4
- React Virtuoso 4 for 10K+ message virtualization
- Sticky model header, view modes (Full / Compact / Tabbed)
Backend stack
- FastAPI (Python) with async/await
- WebSocket for real-time streaming
- Neon Postgres via asyncpg (migrated from Firestore April 2026)
- Google Cloud Run for serverless hosting
- Stripe for 5-tier subscriptions and webhook ingestion
- GPTZero API for live AI-detection scoring
Database migration · 2026-04
Firestore → Neon Postgres.
In April 2026 we completed a full migration from Firestore to Neon Postgres with asyncpg. The 22-table relational schema gives stronger ACID guarantees, cleaner team / credit / subscription joins, and serverless pricing aligned with our Cloud Run + Vercel deployment topology. In-memory conversation caching was removed in favor of direct DB queries to avoid staleness across multi-instance deployments.
Built for scale.
Responsive design
Fully responsive interface that works on desktop, tablet, and mobile.
Security first
Strict CSP, JWT auth, Google OAuth, and encrypted data at rest and in transit.
Performance optimized
Turbopack builds, virtualized lists for 10K+ messages, optimistic UI updates.
Built to scale
Serverless Cloud Run auto-scales to demand, Postgres handles millions of rows.
Real impact, both sides.
For users
- Single subscription replaces 5+ AI services
- 60% faster research with multi-AI collaboration
- 95%+ success rate bypassing AI detection
- Unlimited conversation history & organization
For business
- Recurring SaaS revenue model
- Enterprise pipeline for large deals
- Low operational costs with serverless
- Scalable architecture handles 10x growth
Built with
Technology stack.
Next.js 15.5React 19TypeScriptTailwind 3.4FastAPIPythonGoogle Cloud RunNeon PostgresasyncpgStripeGPTZeroWebSocket Streaming
Try it live
Want to try AI Colosseum?
Compare 16 AI models in one platform with Round Table consensus, multi-agent Workflows, and Humanize. Or contact us to discuss building a similar platform for your business.
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