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Agent & AI Insights

Claude Code know-how, heterogeneous agents, harness engineering, and more — trends and adoption know-how from the Marblo team

Heterogeneous Agents
MCP Protocol
AI Governance
In-house Adoption
Claude Code + MCP in Real Workflows — Notes from a Korean AI Studio
AI AgentsMay 20, 2026

Claude Code + MCP in Real Workflows — Notes from a Korean AI Studio

How a Seoul-based AI agency runs Claude Code with MCP servers across every project. The patterns that actually scale, the integrations that paid off, and the workflow tax we eliminated.

#Claude Code#MCP#Workflow
Hypemarc AI Team
Building Your First Multi-Agent System with Marblo — Hands-On Tutorial
AI AgentsMay 19, 2026

Building Your First Multi-Agent System with Marblo — Hands-On Tutorial

Walk through building a real multi-agent workflow in Marblo, from blank board to production deploy in under thirty minutes. Researcher, writer, fact-checker — heterogeneous models, MCP tools, and observability included.

#Marblo#Tutorial#Multi-Agent
Hypemarc AI Team
MCP Servers in Production — Authentication, Rate Limits, and Observability
AI AgentsMay 18, 2026

MCP Servers in Production — Authentication, Rate Limits, and Observability

Building MCP (Model Context Protocol) servers for a hobby project is easy. Running them in production with real authentication, real rate limits, and traces you can debug at 2 AM is a different problem. This is what we learned.

#MCP#Model Context Protocol#Production
Hypemarc AI Team
Heterogeneous Agents in Production — Why Single-Model Setups Fail at Scale
AI AgentsMay 17, 2026

Heterogeneous Agents in Production — Why Single-Model Setups Fail at Scale

After running heterogeneous AI agents in production for 18 months, we measured what single-vendor setups give up. The cost premium, the failure modes, and the team-level patterns that only work when you mix models on purpose.

#AI Agents#Heterogeneous#Production
Hypemarc AI Team
AI Agent Orchestration Platforms in 2026 — LangGraph, CrewAI, AutoGen, and Marblo Compared
AI AgentsMay 16, 2026

AI Agent Orchestration Platforms in 2026 — LangGraph, CrewAI, AutoGen, and Marblo Compared

An engineering-grade comparison of the major AI agent orchestration platforms in 2026. Where each one shines, where each one breaks, and which choice fits which workload — from prototype to multi-team production.

#AI Agents#Orchestration#LangGraph
Hypemarc AI Team
Model Context Protocol (MCP) Explained — The Standard for Tool-Wielding Agents
AI AgentsMay 10, 2026

Model Context Protocol (MCP) Explained — The Standard for Tool-Wielding Agents

MCP gives AI agents standardized access to filesystems, databases, APIs, and Git. We unpack why MCP became the 'USB-C' of the AI agent industry — and how to integrate it with internal company systems.

#MCP#Model Context Protocol#AI Agents
Hypemarc AI Team
Building AI Agents for the Korean Market: Platforms, Regulations, and Real-World Use Cases
AI AgentsFebruary 12, 2025

Building AI Agents for the Korean Market: Platforms, Regulations, and Real-World Use Cases

How to build and deploy AI agents optimized for Korean business environments. Covers KakaoTalk integration, Korean NLP challenges, compliance requirements, and successful implementation strategies for international companies entering Korea.

#AI Agents#Korean Market#KakaoTalk
Hypemarc Content Team
AI Agents for Business Automation: Complete Guide 2025
AI AgentsJanuary 10, 2025

AI Agents for Business Automation: Complete Guide 2025

Learn how to automate customer service, sales, and marketing with AI agents using OpenAI's Agent Builder, Response API, and custom implementations.

#AI Agents#Automation#OpenAI
Hypemarc Content Team
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