@eagerbeaver666: How to Build an AI Agent – 7 Step Process👇 "You’ve used AI agents... but do you know how they’re actually built?" 🤯 Here’s the 7-step process to build your own AI agent from scratch! 🧠⚙️ 📄 Script / Caption Breakdown: Let’s break down how to build an AI agent in 7 simple steps: ✅ 1. System Prompt Start with the brain’s instruction: 👉 Define goals, assign a role, and give clear instructions. Think of this as briefing your AI intern. ✅ 2. LLM (Large Language Model) Plug into an LLM like GPT, Claude, or Mistral. Customize the base model and fine-tune parameters. 🧠 ✅ 3. Tools Add power-ups: 🔹 API access (web, apps, data) 🔹 Local tools or servers 🔹 Even AI agents as tools! This makes your agent actually useful. ✅ 4. Memory Your agent needs memory to think long-term: 🧠 Episodic memory 📋 Working memory 📚 Vector DB, SQL memory, file storage This is how it “remembers” things. ✅ 5. Orchestration Connect everything with workflows: ⚡ Triggers ⚙️ Params 🔁 Agent-to-agent messaging 🧩 All components talking in sync. ✅ 6. UI (User Interface) Add a front-end interface so users can interact easily. Think web apps, dashboards, or chatbots. ✅ 7. AI Evals Track performance → Analyze, measure, and improve. This step is key to scaling your AI agent reliably. Comment DATA to get my mini Python data science course for free #AIAgent #BuildWithAI #AIEngineer #AIWorkflow #PromptEngineering #OpenAI #GPT4 #Automation #TechTok #LLM #FutureOfWork #productivity #ai

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Thursday 09 October 2025 09:17:00 GMT