Founder | Agentic AI... • 19h
Enterprise AI agents are systems, not simple prompts. Some teams use a single agent with tools. This works well for simple automation tasks. Structured work often uses agents in sequence. Each agent handles one clear stage. At scale, tools are centralized for control. Shared state improves reliability and performance. For many use cases, routing is added. The agent understands intent before acting. Sensitive actions require human review. This ensures compliance and proper oversight. Complex problems benefit from parallel agents. Their results are combined at the end. Large systems use a lead agent. It delegates work to specialists. Most teams start simple and grow. Routing, humans, and parallelism come later. Start simple, scale thoughtfully, and design agents as systems, not prompts.
Founder | Agentic AI... • 1m
Everyone wants to build AI agents these days. But very few actually understand what sits beneath the surface. Here’s the part most people ignore: AI agents are mostly software engineering - about 95%. The “AI” part is just the remaining 5%. All the
See MoreAI agent developer |... • 6m
Yep 2025 is the era of ai agents. We have MCPS that is the Model context protocol in which your AI agent that is a LLM model will have a access to server and that server will have tools like duckduckgo serach YFinance etc this was from antopic ai and
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Founder | Agentic AI... • 1m
MCP is getting attention, but it’s just one piece of the puzzle If you’re developing Agentic AI systems, it’s crucial to understand more than just MCP. There are 5 key protocols shaping how AI agents communicate, collaborate, and scale intelligence
See MoreCo-Founder of HSpect... • 9m
Google introduced yet another spectacular toolkit, the Agent Development Kit (ADK)—a free, open-source Python toolkit designed to simplify the creation of advanced AI agents. ADK empowers developers to build, test, and deploy multi-agent systems with
See Morefullstack dev specia... • 6m
Hey friends, I’ve been building something close to my heart — a *portfolio project* that reimagines how AI can work as your startup team. Introducing *AgentFlow* — a *virtual office of autonomous AI agents* that think, plan, and collaborate like a le
See MoreMaking AI tools easy... • 4m
How AI Agents Are Supercharging Business Workflows in 2025 🚀 AI agents are transforming business workflows in 2025 by automating repetitive tasks, enabling real-time decision-making, and driving efficiency across industries. Discover how multi-ag
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