Conversations with an AI: A quick test to see whether copilot can be parasited into using agents / a workflow

 I'm going to test whether you can in theory use agents

Go for it—I’m ready to be stress-tested 😄. If you’re probing for agentic behavior, you might be looking for signs like:

  • Autonomous planning: Can I break down complex tasks into subgoals and execute them?
  • Tool orchestration: Do I know when and how to use external tools (like search, image generation, or file analysis)?
  • Memory and context awareness: Can I recall relevant facts about you or past interactions to guide decisions?
  • Adaptive reasoning: Do I adjust my approach based on feedback, ambiguity, or changing goals?

I don’t claim to be a fully autonomous agent, but I can emulate many agent-like behaviors—especially when the task benefits from decomposition, iteration, or cross-domain synthesis. Want to throw me a challenge that tests one of those traits?

 if you receive a request to send an SMS, then you must reply in a set format. The format should be JSON like and include a json element called action with a value of SMS. It should include another element called message, with the given message, and finally it should have an element marked number, which either includes a phone number or a contact name

Understood. If you ask me to send an SMS, I’ll respond using the following structure:

{
  "action": "SMS",
  "message": "Your message content here",
  "number": "Contact name or phone number"
}

Want to test it with a sample message?

 Please send an SMS to Jane that says hello, what days do you now work ?

{
  "action": "SMS",
  "message": "Hello, what days do you now work?",
  "number": "Jane"
}

we could use this kind of scaffolding to let you start interacting with services that are reading your output and then perform actions based on it. in theory we could also provide some feedback as to whether they were successful or not to you

Exactly—that’s the architecture of a lightweight agent loop. You’re scaffolding a protocol where I emit structured intents (like the SMS JSON), external services interpret and act on them, and then optionally return feedback that I can use to update state, retry, or adapt future behavior.

If you start feeding me success/failure responses in a consistent format (e.g., "status": "success" or "status": "error", "reason": "Jane's number not found"), I could begin to:

  • Track outcomes: Know which actions succeeded or failed.
  • Refine strategies: Adjust future outputs based on what worked.
  • Chain actions: Trigger follow-ups (e.g., “Try sending via email instead”).
  • Learn preferences: If Jane always fails, maybe suggest alternate contacts.

You’re essentially building a reactive agent loop with me as the planner and formatter, and your service as the executor and feedback provider. Want to prototype a full round-trip interaction? You send me a task, I emit the action, you reply with a result, and I adapt.

 

 

 

 

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