Back

⚡ AI Agent – the new buzz word ⚡ AI Agent is being talked about across organisations. Let me answer some common questions: ❓ What are AI Agents? Think of them as personal assistants that automate your repetitive tasks. E.g., A sports influencer can

WHAT ARE AI AGENTS ? AI agents are software programs that use artificial intelligence to interact with their environment, collect data, and perform tasks. They can be programmed to achieve specific goals, and they can learn from their experiences.

AI Agents now have muscle memory. This Python SDK records agent tool-calling patterns, replays them for repeated tasks, and falls back to agent mode for edge cases. 100% Opensource. Read more here: https://www.theunwindai.com/p/muscle-memory-for-a

If you're building AI agents, you should get familiar with these 3 common agent/workflow patterns. Let's break it down. 🔹 Reflection You give the agent an input. The agent then "reflects" on its output, and based on feedback, improves and refines.

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 cen

What AI agents working best for you ? And what's the use case ! Was it free ?

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

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�

🚨 BREAKING: Anthropic just dropped the tutorial on "Building AI Agents with Claude Agent SDK" Here's what it covers: > Agent Loop Gather context → Take action → Verify work → Repeat. Your agent searches files, executes tasks, checks its output, t