AI Architecture

Multi-Agent
Multi-Model

Six specialized AI agents. Multiple foundation models. LangGraph orchestration. Purpose-built for entertainment at scale.

LangGraph

Orchestration Pipeline

01

Intent Analysis

User query enters the Orchestrator. Natural language understanding determines intent, required agents, and execution strategy.

02

Agent Routing

Orchestrator selects 1-6 specialized agents based on query intent. Multi-agent queries trigger parallel execution paths.

03

Parallel Execution

Selected agents process simultaneously via Promise.all(). Each operates with its own model, temperature, and system prompt.

04

Response Synthesis

If multiple agents responded, outputs merge into a single coherent response. Single-agent responses pass through directly.

STARTrouteexecutesynthesizeEND

Agents

Agent Registry

Six specialized agents, each an expert in its domain. Running in parallel for maximum throughput.

Anthropic
temp: 0.3

Orchestrator

Claude Sonnet 4.5

Routes queries to specialized agents, synthesizes multi-agent outputs, manages conversation context.

Anthropic
temp: 0.8

Script Writer

Claude Sonnet 4.5

Generates screenplays, dialogue, character arcs, story structures. Highest creativity setting for narrative depth.

Anthropic
temp: 0.5

Content Analyst

Claude Sonnet 4.5

Analyzes content performance, engagement patterns, and provides creative recommendations based on data.

OpenAI
temp: 0.4

Market Intelligence

GPT-4o

Market trends, competitor analysis, audience demographics, genre performance data, and demand forecasting.

OpenAI
temp: 0.3

Investment Analyst

GPT-4o

Due diligence, ROI projections, portfolio optimization, risk assessment, and financial modeling.

Anthropic
temp: 0.2

Platform Admin

Claude Sonnet 4.5

Platform health monitoring, user analytics, content moderation, system diagnostics, and operational metrics.

Multi-Model

The Right Model for Every Task

Anthropic

Claude Sonnet 4.5

Used For

Creative writing, nuanced analysis, orchestration, content moderation

Strengths

Deep reasoning, narrative coherence, safety alignment, long context

Agents
OrchestratorScript WriterContent AnalystPlatform Admin
OpenAI

GPT-4o

Used For

Structured data analysis, market intelligence, financial modeling

Strengths

Numeric reasoning, tabular data, function calling, structured output

Agents
Market IntelligenceInvestment Analyst
Custom

Fine-Tuned Models

Used For

VFX generation, voice synthesis, music composition, style transfer

Strengths

Domain-specific performance, low latency, cost optimization

Agents
Visual EffectsVoice SynthMusic EngineStyle Engine

Built on LangGraph

A 3-node StateGraph that routes, executes in parallel, and synthesizes — turning every user query into intelligent, multi-perspective responses.

// Climax — LangGraph Orchestration
const graph = new StateGraph({
channels: { query, userRole, selectedAgents, results, response }
})
.addNode("route", orchestrator.routeQuery)
.addNode("execute", agents.runParallel)
.addNode("synthesize", orchestrator.mergeOutputs)
.addEdge("route", "execute")
.addEdge("execute", "synthesize")
.compile()

Experience the Architecture

Try our multi-agent AI system. Ask anything — watch multiple agents collaborate in real time.