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⚡ 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.

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

🚨 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

Vertical AI Agents Vs SaaS, You guys might have seen the video of YC already. Just thinking about "Micro Vertical AI agents". Coining this term here because some of guys might be still thinking about SaaS or Micro SaaS or Vertical AI Agents, then why

6 design patterns used in AI agents. I've broken down each in simple steps. 1. 𝗦𝗲𝗾𝘂𝗲𝗻𝘁𝗶𝗮𝗹 (𝗕𝗹𝘂𝗲) • 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀: The query moves through agents one after the other. • 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: You ask a question → First agent processe