Automate with AI Agent Teams
Multi-model (Claude, Gemini, GPT) + isolated agents + flow automation to transform your business.
Build role-based independent agent teams and automate complex workflows with node-based pipelines.
3 Service Models
Build agent teams with the optimal approach for your business scale and requirements
Agent Team Building
Design optimal teams with role-based independent agents using multi-models (Claude, Gemini, GPT).
- Role-based independent agents
- Optimal model per task
- Independent subscription & rate limit
Agent Flow Design
Automate complex workflows with node-based pipelines (LLM→Agent→Human→Output).
- Node-based flow builder
- Human-in-the-loop review
- Repeatable execution & flow saving
Workspace Delivery
Build and deliver an in-house agent operating environment based on Marblo.
- Kanban board + real-time management
- Code viewer + multi-terminal
- Real-time PM feedback injection
Diverse Use Cases
AI solutions as part of your agent team, tailored to your industry and business needs
Task Automation Agent
As part of the agent team, automatically handles repetitive tasks to maximize productivity.
Marketing Automation Agent
As part of the agent team, automatically plans and executes personalized campaigns.
Sales Support Agent
As part of the agent team, supports the entire sales process from leads to deal closure.
Customer Service Chatbot
As part of the agent team, responds instantly to customer inquiries 24/7.
Internal Document RAG System
As part of the agent team, searches and answers from internal guides in knowledge-intensive fields.
Data Analysis Agent
As part of the agent team, analyzes data and automatically derives insights.
Agent Team Building Workflow
Systematic process from task analysis to workspace delivery
Task Analysis & Decomposition
Analyze business goals and auto-generate task DAG
Agent Team Design
Assign optimal models (Claude, Gemini, GPT) by role
Flow Building & Testing
Design node-based pipelines and test with real scenarios
Workspace Delivery & Operations
Deliver workspace with dashboard monitoring environment
System Architecture
Input
User Request / Data
Orchestrator
Task DAG / Routing
Agent Team
Claude Code / Codex / Antigravity
Human Review
PM Feedback
Output
Automated Actions
Tech Stack
Core technologies for multi-model agent teams and flow automation
Claude Code (Anthropic)
Codex (OpenAI)
Antigravity
MCP (Model Context Protocol)
Marblo
Node-PTY
Vector DB + RAG
Flow Engine
Core Features
Frequently Asked Questions
How long does an AI agent build take?
Typically 8 weeks (4 PoC + 4 settlement). Can range 4-12 weeks by complexity. The free diagnostic workshop produces an exact estimate.
What tech stack do you use?
Flask/FastAPI + GCP Cloud Run backend, OpenAI/Claude/Gemini APIs, RAG (Vector DB), and MCP for integrating with your internal systems. Our team operates on Marblo workspace.
Can it integrate with our ERP, CRM?
Yes, via MCP (Model Context Protocol) — connects to filesystems, databases, APIs, Git, and most internal systems.
How much does it cost?
Quoted by scope and requirements. The free diagnostic workshop produces a detailed quote.
Do you provide ongoing operational support?
Yes, 3 months of operational support is included by default — monitoring, tuning, and continuous learning.
Build Your AI Agent Team Today
Explore multi-model agent team + flow automation packages
Contact Us
john.kim@hypemarc.com