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Created June 19, 2025 07:39
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AI Workflow and Agents

πŸ” AI Workflow and Agents

βœ… AI Workflow

An AI workflow is a structured sequence of steps that processes input data to reach a defined output. It’s like an assembly line, where each task is performed in order, often using tools like Dify, Langflow, or Flowise.

πŸ“Œ Example:

A resume analyzer workflow:

  1. Receive uploaded resume
  2. Parse the text
  3. Extract key skills
  4. Generate a summary
  5. Recommend job openings

🧠 AI Agent

An AI agent is a goal-oriented autonomous system that can reason, decide what actions to take, and adapt its behavior as needed. Rather than following a strict path, it plans dynamically and may retry or adjust based on outcomes.

πŸ“Œ Example:

An AI researcher agent:

  • Given the task: β€œFind and summarize the latest in quantum computing.”
  • It searches online, selects relevant articles, summarizes them, and emails a report β€” all without being told exactly how to do it.

πŸ”„ Quick Analogy

Feature AI Workflow AI Agent
Control Flow Predefined (flows, diagrams) Dynamic (plans its own steps)
Flexibility Low to medium High (can adapt mid-task)
Goal Execute a process Achieve a goal
Memory Usually stateless or limited state Can be long-term or short-term memory
Tools Visual tools, workflow engines LangChain agents, AutoGPT, CrewAI, etc.

πŸ—£οΈ Presentation Tip

"Workflows are like carefully scripted routines β€” precise and consistent. Agents, on the other hand, are like intelligent improvisers β€” given a goal, they find the best way to reach it on their own."

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