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Most people think AI = prompts.
That’s outdated.
Real AI in 2026 = Agents with skills
Here’s the architecture nobody talks about 👇
➡️ Skills
Reusable instruction modules
Like training manuals for AI
➡️ Core loop
Perceive → Reason → Act → Observe → Repeat
This is how agents actually “work”
➡️ MCP servers
Connect AI to real tools
GitHub, Slack, databases, APIs
➡️ Subagents
Delegate tasks like a team
Researcher • Coder • Deployer
➡️ Hooks
Automate actions
Before / After / On trigger
➡️ Memory layer
Files + Claude.md = always-on context
➡️ The stack
Plugins = Skills + Tools + Subagents + Hooks
💡 Big shift:
You’re not using AI anymore
You’re building systems that run work
Prompting is step 1
Agent design is step 10
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