AI Agents & Agentic Stack
Automation was yesterday. Today, we build agents.
AI agents are systems that don't just respond, they plan, decide, and execute tasks autonomously. The agentic stack is the architecture behind them: orchestration, tool use, MCP, contextual memory, guardrails. In this hub, we cover real-world AI agent deployments, from simple agentic workflows to multi-agent decision systems. We test frameworks: LangGraph, CrewAI, Claude Code, OpenAI Agents SDK. We share our own builds, production learnings, and the failures you won't find in documentation. ROI & Shine builds agents for e-commerce and operations, we publish what actually works, not what looks good in a demo.
Articles
Google Remy AI Agent: The Next Leap in Workspace Automation
Google’s internal pilot, Remy, is a Gemini-powered AI agent that learns user preferences and acts across Workspace. Here’s what it means for ROI, privacy, and y…
Stop Chasing Every New AI Model And Build A Calm, Composable Stack Instead
Every week there is a new model, a new agent platform, a new must try tool. Most teams react by spinning up experiments, then quietly abandoning them. The resul…
AI Agent Orchestration: Your 2026 Control Layer For Autonomous Workflows
Agentic AI is moving from single chatbots to orchestrated swarms. Learn how to design an AI agent control layer that actually drives measurable ROI in 2025.
Stop Prompting, Start Orchestrating: AI Agents as Your Invisible Ops Team
Forget endless prompts. Learn how to design AI agents as an invisible ops team that runs workflows, fixes bottlenecks, and drives measurable ROI for your busine…