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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
Codex 5.5 GOAL Mode — The New Standard for Autonomous Agents
AI AgentsMay 15, 2026

Codex 5.5 GOAL Mode — The New Standard for Autonomous Agents

OpenAI Codex's latest GOAL mode is reshaping the autonomous agent paradigm. We analyze the shift from imperative commands to goal-driven execution, and how it compares to Marblo's natural language orchestrator.

#Codex#OpenAI#Autonomous Agents
Hypemarc AI Team
Why Heterogeneous AI Agents Beat Single-Model — Claude, GPT, and Gemini on One Board
AI AgentsMay 13, 2026

Why Heterogeneous AI Agents Beat Single-Model — Claude, GPT, and Gemini on One Board

Why leading AI teams in 2026 are choosing heterogeneous agent orchestration over single-vendor solutions. The performance gap and cost efficiency that comes from role-based model assignment — Claude reasoning, GPT generation, Gemini verification.

#Multi-Agent#Heterogeneous Agents#Claude
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
Claude Code Subagents vs. Real Multi-Agent Orchestration — What's the Difference?
AI AgentsMay 7, 2026

Claude Code Subagents vs. Real Multi-Agent Orchestration — What's the Difference?

We dissect the gap between Claude Code's 'subagent' pattern and genuine heterogeneous multi-agent orchestration. Single-model N agents vs. heterogeneous N agents, CLI vs. kanban board, shared context vs. physical isolation.

#Claude Code#Subagents#Multi-Agent
Hypemarc AI Team
5 Principles for In-house AI Agent Governance — Design the Trust Hierarchy First
AI AgentsMay 4, 2026

5 Principles for In-house AI Agent Governance — Design the Trust Hierarchy First

When you adopt AI agents internally, the first question is 'Who is responsible for code an agent wrote?' This article lays out 5 governance principles: privilege separation, audit logs, rollback paths, measurable KPIs, and team training.

#AI Governance#In-house Adoption#Agent Operations
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-Powered Customer Service: Complete ROI Analysis for 2025
AI AgentsFebruary 1, 2025

AI-Powered Customer Service: Complete ROI Analysis for 2025

A detailed ROI analysis comparing AI-powered customer service with traditional support teams. Includes cost breakdowns, satisfaction metrics, implementation roadmap, and real-world case studies.

#AI Customer Service#Chatbot#ROI
Hypemarc AI 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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