Agentic AI refers to artificial intelligence systems that can act with a degree of autonomy, allowing them to problem-solve and respond to various situations. Agentic AI refers to artificial intelligence systems designed to autonomously make decisions and take actions to accomplish complex goals, with minimal or no human intervention. These systems use multiple AI agents—autonomous units that can plan, adapt, learn from their environment, and work together to achieve high-level objectives. Unlike traditional or generative AI that mainly responds to prompts or creates content, agentic AI operates as a proactive, goal-driven system capable of coordinating tasks and adapting to new information or changing conditions.

Examples and Uses
Automating multi-step enterprise workflows—like supply chain management or customer service—where individual agents handle separate parts but collaborate under the broader agentic AI strategy.​

Optimizing schedules, rerouting shipments, or adjusting marketing strategies automatically, adapting to real-time input and outcome


The concept of Agentic AI refers to advanced artificial intelligence systems that are focused on autonomous decision-making and action to achieve complex, multi-step goals with minimal human intervention.

Unlike traditional AI that typically responds to specific commands or follows pre-defined rules, Agentic AI systems—often built using Large Language Models (LLMs) as a "brain"—exhibit agency, which is the capacity to act independently and purposefully.

It's important to note the subtle difference in terminology:

AI Agents are the individual, specialized components or building blocks (like a planning module or a code generation tool) designed to perform specific tasks.

Agentic AI is the overarching system or framework that coordinates and manages multiple AI agents to work together toward a broader, complex objective.

Ah—since you’re using Zapier’s **official “OpenAI (ChatGPT)” app** (not Webhooks), the field you need to drop into your email body is **not** `output_text`. The OpenAI app exposes different output fields, usually named something like **Response**, **Message Content**, or **Choices 0 Message Content**—it depends on which action you chose.

Here’s how to wire it:

# If you used **OpenAI (ChatGPT) → Send Prompt**

1. Test the step.
2. In your Email action’s **Body**, click **Insert Data** and pick:

   * **Response** (that’s the generated text).
3. (Optional) Wrap for HTML:

   ```
   <div style="white-space:pre-wrap;">{{OpenAI (ChatGPT) > Response}}</div>
   ```

# If you used **OpenAI (ChatGPT) → Conversation / Chat Completions**

1. Test the step.
2. In **Insert Data**, look for one of:

   * **Choices 0 Message Content**
   * **Message Content**
   * **First Choice Message Content**
     (Zapier’s label varies by action/version.)
3. Use that in your Email **Body**.

# If you *don’t* see those fields

* Click **Test** on the OpenAI step again so Zapier captures sample output.
* Make sure your prompt actually returns text (no policy errors / rate limits).
* If the step shows an **Error** field, fix the OpenAI step first (model, auth).

# Keep formatting & prevent “blank” emails

* In the email **Body**, always insert the value via **Insert Data** (don’t type `output_text`).
* Preserve line breaks (HTML email):

  ```
  <div style="white-space:pre-wrap;">{{OpenAI (ChatGPT) > Response}}</div>
  ```
* If still blank, add a quick debug step before the email:

  * **Formatter → Utilities → Inspect** (or just add another Email to yourself) and insert **all** outputs from the OpenAI step to see which field has the text.

# Model & length tips in Zapier OpenAI app

* **Model**: pick `gpt-4.1-mini` (or similar) in the action’s dropdown.
* **Max tokens**: set to ~1400–1600 to allow ~1000 words.
* **Temperature**: 0.7 is fine; lower for more consistency.

If you tell me exactly which **OpenAI action** you selected (e.g., “Send Prompt” vs “Conversation”) and what you see in that step’s **Test Output**, I’ll point to the precise field name you should insert.

Ah—since you’re using Zapier’s official “OpenAI (ChatGPT)” app (not Webhooks), the field you need to drop into your email body is not output_text. The OpenAI app exposes different output fields, usually named something like Response, Message Content, or Choices 0 Message Content—it depends on which action you chose.

Here’s how to wire it:

If you used OpenAI (ChatGPT) → Send Prompt

1. Test the step.
2. In your Email action’s Body, click Insert Data and pick:
   • Response (that’s the generated text).
3. (Optional) Wrap for HTML: <div style="white-space:pre-wrap;">{{OpenAI (ChatGPT) > Response}}</div>

If you used OpenAI (ChatGPT) → Conversation / Chat Completions

1. Test the step.
2. In Insert Data, look for one of:
   • Choices 0 Message Content
   • Message Content
   • First Choice Message Content
     (Zapier’s label varies by action/version.)
3. Use that in your Email Body.

If you don’t see those fields

• Click Test on the OpenAI step again so Zapier captures sample output.
• Make sure your prompt actually returns text (no policy errors / rate limits).
• If the step shows an Error field, fix the OpenAI step first (model, auth).

Keep formatting & prevent “blank” emails

• In the email Body, always insert the value via Insert Data (don’t type output_text).
• Preserve line breaks (HTML email): <div style="white-space:pre-wrap;">{{OpenAI (ChatGPT) > Response}}</div>
• If still blank, add a quick debug step before the email:
  • Formatter → Utilities → Inspect (or just add another Email to yourself) and insert all outputs from the OpenAI step to see which field has the text.

Model & length tips in Zapier OpenAI app

• Model: pick gpt-4.1-mini (or similar) in the action’s dropdown.
• Max tokens: set to ~1400–1600 to allow ~1000 words.
• Temperature: 0.7 is fine; lower for more consistency.

If you tell me exactly which OpenAI action you selected (e.g., “Send Prompt” vs “Conversation”) and what you see in that step’s Test Output, I’ll point to the precise field name you should insert.