Korey vs ChatGPT: Why Teams Choose Korey for Product Development Work
October 15, 2025 by Dana Brown
If you’ve used ChatGPT for work, you’ve probably also wondered whether Korey does the same thing. They’re both AI. They both answer questions and generate text. So what’s actually different?
The short version: ChatGPT is a thinking tool. Korey is a building tool. Understanding the distinction helps you use both more effectively.
What ChatGPT is great at
ChatGPT excels at general-purpose tasks: drafting emails, brainstorming ideas, explaining concepts, summarising documents, writing copy. It’s a powerful generalist that works well when the context lives in the conversation.
For product teams, it’s useful for things like:
- Brainstorming feature ideas
- Drafting customer communications
- Explaining technical concepts to non-technical stakeholders
- Writing first drafts of blog posts or documentation
The limitation is that ChatGPT doesn’t know anything about your actual project. Every conversation starts from zero. If you want a useful answer about your sprint, your team, or your codebase, you have to bring all that context yourself — and even then, nothing carries over to the next session.
What Korey is built for
Korey is built specifically for product development work, and it’s connected to where that work actually lives.
When you ask Korey about your project, it already knows the context. It’s connected to Shortcut or GitHub Issues, so it can see your stories, your epics, your assignments, your history. It knows what’s blocked, what shipped last week, and what’s coming up next sprint.
This means Korey can do things ChatGPT fundamentally can’t:
- Write specs that match your team’s conventions — because it knows how your team writes
- Create and update work items directly — no copy-paste from a chat window to a ticket
- Generate release notes from what actually merged — not from memory
- Surface blockers and stalled work — because it has visibility into your project’s state
- Answer questions about your project — “What’s blocking the auth refactor?” gets a real answer
The key difference: context awareness
ChatGPT is stateless relative to your work. Korey is stateful. That’s the core distinction.
| ChatGPT | Korey | |
|---|---|---|
| Knows your project | ✗ | ✓ |
| Creates work items | ✗ | ✓ |
| Remembers your conventions | ✗ | ✓ |
| Tracks progress | ✗ | ✓ |
| Good for general writing | ✓ | ✓ |
| Integrates with your tools | ✗ | ✓ |
When to use each
Use ChatGPT when:
- You’re brainstorming or exploring ideas
- You need a general-purpose writing or explanation task
- The context for the task lives entirely in the conversation
Use Korey when:
- You’re working in a sprint and need specs written
- You want status on your project without digging through tickets
- You’re handing off work to a coding agent and need a solid brief
- You want institutional memory — conventions, history, patterns — applied automatically
They’re not competitors
The most effective teams use both. ChatGPT for thinking. Korey for building. The distinction isn’t about which AI is smarter — it’s about which one has the context to actually help with the work in front of you.
If you’re writing a spec for a feature your team is shipping next week, you want the tool that knows your project. That’s Korey.