I spent sometime calling my projects AI agents. Most of them were workflows. The word "agent" has gotten so loose it barely means anything now, so I use one test to cut through it. The 4-verb test. Perceive, Plan, Act, Observe: - Perceive: take in the current state. - Plan: decide the next step itself. - Act: do the thing (call a tool, take an action). - Observe: look at the result and loop back. If any verb is missing, or if you're the one making the routing decisions in code, it's a workflow. Not an agent. Neither is better. Workflows are predictable and easy to debug. Agents handle open-ended problems you can't script. The mistake is calling one the other and expecting it to behave like the thing it isn't. Be honest about which one you've actually built. New video breaks it down with the exact definition and the test applied to real projects. Go run the test on your last project. Which did you actually build, agent or workflow? Drop it below. 👇

In the last lesson you mapped the loop. Today you go one level deeper. Every agent has 6 components. Your challenge is to fill in all 6 for the project you've been working on this week. Six lines. Four minutes. Use this template: MODEL: The LLM I will use is ___ TOOLS: The tools my agent needs are ___ MEMORY: My agent needs to remember ___ between sessions CONTEXT: Each LLM call will receive ___ INSTRUCTIONS: My agent is ___ and its goal is ___ ORCHESTRATION: I will control the loop using ___ Rules: No "TBD." If you don't know, write your best guess and I'll correct it. If you're not sure about Memory or Context, that's normal. Write what you think and let's discuss. Reply to someone else's post with one question about their tool choice or memory strategy. I'll comment on every submission posted before midnight.

In fist lecture you defined your agent project. Today you map how it actually runs. Fill in the blanks for your project and post your 5 lines below: PERCEIVE: My agent reads or receives ___ PLAN: The LLM decides ___ ACT: My agent then does ___ OBSERVE: The result my agent reads back is ___ STOP CONDITION: The loop ends when ___ I will comment on every single submission today. No lurking on this one.

Watch the lesson first, then come back here. Your job: 1. Write your one-sentence definition of an AI agent. Use the four verbs from the lesson: perceive, plan, act, observe. Do not copy mine. Build your own version. 2. Read two other definitions in the comments. Find one edge case their definition does not handle. Reply to them with it. 3. Use the template below to structure your answer. Copy and paste it into your reply. I will read every definition posted here and push back on the interesting ones. What is the hardest part of this definition to get right?

Hi im new here and am interested in creating agents for automations and also agents to sell to my clients