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Most people miss these principles while building AI agents. I’ve explained everything that you should keep in mind. 1. Never run an agent without clear context. 2. Define who the agent is and what it is responsible for. 3. Always log inputs, action

How should you build AI Agents in 2026? I've explained each step with my learnings below. 𝗦𝘁𝗲𝗽 1 – 𝗚𝗶𝘃𝗲 𝗮 𝗖𝗹𝗲𝗮𝗿 𝗧𝗮𝘀𝗸 • Define one focused responsibility for the agent. • Set clear objectives, constraints, and expected outputs. 𝗟�

4 core ways multi-agent AI systems are designed. I’ve explained each one in simple steps below. 1. 𝗣𝗮𝗿𝗮𝗹𝗹𝗲𝗹 𝗣𝗮𝘁𝘁𝗲𝗿𝗻 (𝘚𝘵𝘦𝘱-𝘣𝘺-𝘴𝘵𝘦𝘱) • One input (task) comes in. • The task is 𝘀𝗽𝗹𝗶𝘁 𝗶𝗻𝘁𝗼 𝗽𝗮𝗿𝘁𝘀. • Multiple AI age

Most people studying AI agents never deploy one real system people actually use. Because they stop at prompts. Prompting is practice. Building is different. Production systems require architecture, workflows, evaluation, and real operational think

Most people studying AI agents never deploy one real system people actually use. Because they stop at prompts. Prompting is practice. Building is different. Production systems require architecture, workflows, evaluation, and real operational think

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

Everyone talks about AI agents. Very few people understand what’s actually happening under the hood. Here’s the vocabulary that shows up constantly when working with agent systems. First, the core ideas. An agent is software that observes informat

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

4 ways how AI systems communicate and coordinate. I've explained each one in detail below. 1. 𝗠𝗖𝗣 (𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) • User submits a request: “Summarize today’s Slack messages.” • MCP Client receives input: Interface b

LLMs as Agents Large Language Models (LLMs) like *GPT*, *Claude*, or *Gemini* can act as intelligent. *What does it mean to be an agent?* An *LLM agent* can: • Understand a goal • Break it into steps • Use tools or APIs • Adapt based on c