B-TIER skill
Claude — Markdowns and folders wrapped in a harness
100k ft — What is this?
Claude — Markdowns and folders wrapped in a harness
50k ft — Why care?
Companies are marketing ordinary chatbots and simple API tools as “AI Agents.” It’s time we discuss what that actuall... — @gigaqian; uses Claude, Claude Code; demonstrates AI agents, API integration.
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5k ft — Tools & techniques
Claude, Claude Code
AI agents, API integration
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Companies are marketing ordinary chatbots and simple API tools as “AI Agents.” It’s time we discuss what that actually means!
#aiagents #learnai #learnoninstagram #ai #gigaqian
lostandlucky
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Markdowns and folders wrapped in a harness
Transcript excerpt
Almost nobody talking about AI agents seems to know what those words actually mean, but my followers are built different, which is why I use the word almost. And at the end of this video, you're all going to understand what those words mean. I'm Giga Chen and this is going to be the only video you need to understand what an AI agent actually is. Respected analysts like the people at Gartner have said that less than 5% of products marketed as AI agents last year actually fit the technical definition. So let's break down that definition. An AI agent is an autonomous software system, typically powered by a large language model. It is not the model itself. That's an important distinction. Since it's a relatively new technology with a lot of hype behind it, multiple companies try to posit their own definitions. The broader community generally defines a true agent based on its abilities. If it can understand goals, gather context, reason through steps, use tools, and take actions to complete a task, then we can say we have an AI agent. If it's just helping you think through something, meaning it only gives you an answer when you give it a prompt, that's a chatbot. If it suggests next steps, auto completes tasks, and provides recommendations all while you're staying in control, nope, still not an agent. That's a co-pilot. Agents are even more autonomous. They typically follow a perceived reason act cycle. They take input. This is your goal. This would be a task or a broader…
Appears in
- Guide: The Claude Harness Pattern: Context, Memory, and Cognitive Scaffolding
- Deeper dive: The Claude Harness Pattern: Context, Memory, and Cognitive Scaffolding
- Guide: Beyond Prompting: Prompt Architecture as Engineering Discipline
- Deeper dive: Beyond Prompting: Prompt Architecture as Engineering Discipline
- Guide: Autonomous Agents in the Wild: What's Actually Working in 2026
- Deeper dive: Autonomous Agents in the Wild: What's Actually Working in 2026
- Guide: Claude Mastery: From First Install to Advanced Agent Architecture
- Deeper dive: Claude Mastery: From First Install to Advanced Agent Architecture
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