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Comet

#freelancer • 9m

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. Ideal tools to use: - Base model (e.g. GPT-4o) - Fine-tuned model (to give feedback) - n8n to set up the agent. 🔹 RAG-based You give the agent a task. The agent has the ability to query an external knowledge base to retrieve specific information needed. Ideal tools to use: - Vector Database (e.g. Pinecone). - UI-based RAG (Aidbase is the #1 tool). - API-based RAG (SourceSync is a new player on the market, highly promising). 🔹 AI Workflow This is a "traditional" automation workflow that uses AI to carry out subtasks as part of the flow. Ideal tools to use: - n8n to handle the workflow. - GPT-4o, Claude, or other models that can be accessed through API (basic HTTP requests).

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Devansh Rao

Nothing is perfect • 3m

Tired of using n8n and other technical tools just to get basic automation running? Forget about building agents, wiring endless steps, and learning complex setups. With VaraOS, automation is finally human. Just describe what you want in plain language, and your workflow is instantly ready. No agents. No code. No tech headaches. 👉 Try it now: www.varaos.com

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