---
type: entity
subtype: tool
title: "ChatGPT"
description: "The AI chat model used throughout as the example interface for prompting."
resource: "https://chat.openai.com"
tags: [llm, openai, chat-interface]
videos: [are-you-building-real-ai-agents-or-just-using-llms, chatgpt-teaches-the-secrets-to-financial-freedom, 3-most-important-prompt-engineering-techniques-you-need-to-know, chatgpt-users-be-aware-of-this-major-weakness, chatgpt-is-the-gift-that-keeps-on-giving-introducing-auto-gpt, how-to-use-gpt4-to-grow-on-twitter-the-right-way]
created: 2026-07-21
updated: 2026-07-21
---

# ChatGPT

ChatGPT is OpenAI's chat product, and in Cole's catalog it is the canonical example of a plain conversational LLM interface, the thing an agent is defined against. He is precise about that boundary: "ChatGPT domcom because really it's just a conversational chat bot" [0:16:24], and "it's not like it's an agent that could decide it needs to search the web again to refine its search" [0:16:40]. ChatGPT answers; it does not autonomously loop, choose tools, or act. That distinction is the seed of his whole [what is an AI agent](../../concepts/what-is-an-ai-agent.md) framing.

## How Cole uses it

ChatGPT is the surface he teaches prompting on. His prompt-engineering lessons open on it because most people underuse it: "when they use ChatGPT or other AI models they can often be disappointed with the results they get but really it's because they didn't ask the questions in the right way" [0:00:17]. He walks through turning it into a role-played assistant (a "personal financial coach") and notes the UI's implicit context handling: "even though in this UI the ChatGPT model recognizes previous context from our conversation like it knows the Tweet I'm talking about" [0:07:10].

He is equally clear about its limits, warning that "these AI models like GPT are far from perfect" [0:00:00] and using ChatGPT to motivate hallucination and reliability discussions. Historically it is also his on-ramp story: the tool "given extremely robust artificial technology into the hands of everybody across the world to use for free" [0:00:00], which later videos push past toward true agents and [Auto-GPT](../../concepts/what-is-an-ai-agent.md)-style autonomy.

## Realizes

- [Prompt Engineering](../../concepts/prompt-engineering.md) - The craft of wording, structuring, and constraining a prompt so an LLM reliably produces the answer you want.
- [Effective Prompting](../../concepts/effective-prompting.md) - Keeping prompts simple, specific, and high-quality, and knowing when prompt tricks matter versus when they're overrated.
- [Role Prompting](../../concepts/role-prompting.md) - Assigning the model a specific role or persona to set the tone and expectations for its response.

## Works with

- [GPT-4](./gpt-4.md) - OpenAI's model cited as strong enough that it reasons step by step without being told to; the model behind the ChatGPT he demos.
- [GPT-3.5 Turbo](./gpt-3-5-turbo.md) - OpenAI's ChatGPT-era chat-completion model called by the proxy server to generate the text that replaces the user's selection in place.

## Contrasts with

- [Claude](./claude.md) - Named as an example of a large language model that can be turned into an agent.
- [Google Gemini 2.0 Flash](./gemini.md) - Google's LLM line; Gemini 2.5 led general-purpose models for months and Gemini 3 is considered the most powerful general LLM at year-end.
- [Llama](./llama.md) - The open LLM model powering the agent, served via Groq in the current build.

## Related

- [What Is an AI Agent](../../concepts/what-is-an-ai-agent.md) - An AI agent is a large language model given tools to interact with the outside world and take actions, making it far more capable than the LLM alone.
- [Tool Calling](../../concepts/tool-use.md) - Letting an LLM invoke external functions and APIs so it can take actions and fetch data beyond its parametric knowledge.
- [Reasoning Models](../../concepts/reasoning-models.md) - Models that produce explicit reasoning before answering, and when that extra thinking helps versus hurts.
- [Fine-Tuning](../../concepts/fine-tuning.md) - Adapting a base model to a task or domain via additional training, weighed against just prompting a stronger general model.

## Sources

- [Are You Building REAL AI Agents or Just Using LLMs?](../../sources/are-you-building-real-ai-agents-or-just-using-llms.md) - "[0:16:40] it's not like it's an agent that could decide it needs to search the web again to refine its search"
- [3 MOST Important Prompt Engineering Techniques you NEED to know!](../../sources/3-most-important-prompt-engineering-techniques-you-need-to-know.md) - "[0:00:17] when they use ChatGPT or other AI models they can often be disappointed with the results they get but really it's because they didn't ask the questions in the right way"
- [ChatGPT Teaches the Secrets to Financial Freedom!?](../../sources/chatgpt-teaches-the-secrets-to-financial-freedom.md) - "[0:00:42] you can make that author your personal financial coach using ChatGPT"
- [ChatGPT Users BE AWARE of this Major Weakness](../../sources/chatgpt-users-be-aware-of-this-major-weakness.md) - "[0:00:00] these AI models like GPT are far from perfect"
- [ChatGPT is the GIFT that keeps on GIVING - Introducing Auto-GPT](../../sources/chatgpt-is-the-gift-that-keeps-on-giving-introducing-auto-gpt.md) - "[0:00:00] for the first time it's given extremely robust artificial technology into the hands of everybody across the world to use for free"
- [How to Use GPT4 To Grow on Twitter The Right Way](../../sources/how-to-use-gpt4-to-grow-on-twitter-the-right-way.md) - "[0:07:10] even though in this UI the ChatGPT model recognizes previous context from our conversation like it knows the Tweet I'm talking about"
