Product Copilot vs. General AI Tools: Why Domain Knowledge Matters in Product Management

You’ve tried AI, but are not happy with the results yet

You’ve tried AI tools because everyone said you should. Your LinkedIn feed is full of people praising ChatGPT prompts, automations, and productivity hacks. So you gave it a shot. But after 20 minutes of prompting, tweaking, rewording, and feeding in background info, you think: I could’ve just written this myself in half the time.

If that sounds familiar, you’re not alone. And no, you’re not doing it wrong. The problem isn’t you – it’s that the AI you’re using doesn’t know your product.

Why AI Tools Often Disappoint in Product Management

General-purpose AI tools like ChatGPT, Gemini, or Claude are built to answer anything. That’s their strength – and their weakness. They can generate pages of well-written text, translate it, summarize documents. But they don’t know your team, your backlog, or your product. They can’t spot why a user story feels off, or why a Jira ticket is missing context. They don’t understand what “done” looks like for your team.

If you’re not happy with what ChatGPT is generating for you, you’re probably working in a complex domain or have a complex software product. That’s not a problem – that’s your job. You know the quirks of your product, the legacy systems, the edge cases, the customer expectations.

But if the AI you’re using doesn’t know any of that, it becomes your job to feed it all that information before it can even begin to help. And by the time you’re done prompting, you’re wondering why you didn’t just do it yourself.

Why Context and Domain Knowledge Make or Break AI

AI can be powerful – but only when it knows what it’s talking about. Because product work isn’t generic. Every backlog is different. An AI that doesn’t know your product is like a freelancer who never read the brief. They’ll write something, but it probably won’t hit the mark and you’ll have to go over it, clarify, correct and rewrite it.

What you need is an AI that knows the context. Your team’s standards. Your terminology. Your structure. Your workflows. That’s what turns AI from a toy into a tool.

You Don’t Need a Chatbot, You Need a Copilot

Product Copilot is an AI tool specifically built for product teams – and that makes a difference. It’s not just another text generator. It’s an assistant that actually knows YOUR product and domain and understands how product teams actually work. How is that possible?

Here’s what that looks like in practice:

1. It Understands Your Product

Instead of asking you to explain everything, Product Copilot knows what's in your issues and wiki. That means it goes through your backlog, checks your epics, your stories, your documentation. When you ask it to write a user story, it doesn’t ask what your product is about, but understands your backend structure or complex integrations of your product. It knows every term and supports you like a smart colleague, who already knows the product inside out.

2. It Lives Where You Work

Product Copilot integrates directly into Jira and Confluence. That means you don’t need an extra tool or constantly copy-paste results, no switching tabs, no transferring context back and forth. You already have an epic? Click one button and Product Copilot suggests all relevant user stories – and lets you save them directly in Jira with one more click.

3. It Thinks With You

Product Copilot isn’t just a tool that spits out text. It actively helps you improve your work. It flags missing acceptance criteria. Checks your backlog for duplicates. It asks the questions your developers would ask in a refinement meeting – but ask them while you’re creating a new issue. It spots inconsistencies or gaps across related tickets. It’s like having a sharp product-minded colleague who spots things you missed.

4. It Makes Hidden Knowledge Accessible

You know that moment when you vaguely remember a ticket that mentioned something important – but you can’t recall the title or where to find it? We’ve all wasted what felt like hours searching Jira or Confluence, only to give up and ask that one colleague who knows everything. With Product Copilot, you don’t have to. Just describe what you remember – even if it’s vague – and it’ll find what you’re looking for.

5. It Keeps Your Product Knowledge Private

But… if it knows my product, will my competitors have access to our most valuable possession? Of course not. Unlike other AI tools where it’s unclear how your data is used, Product Copilot keeps your product data secure and private. Your backlog stays your backlog. Your roadmap isn’t training someone else’s model.

To Sum it Up: You Need an AI That Knows Your Product

When your AI knows your product, you stop babysitting it. You stop explaining the same thing over and over. You stop fixing its mistakes. You get to actually delegate – and trust the output.

It’s the difference between a chatbot and a copilot.

We’re not here to bash ChatGPT. We love it, and it’s great for what it is. Want to brainstorm feature ideas? Fantastic. Need to reword a stakeholder update in a more friendly tone? Perfect. We do that all the time.

But for structured, context-heavy product work like writing dozens of user stories, cleaning up a backlog, drafting release notes – general AI tools fall short. Not because they’re bad, but because they’re blind.

Still skeptical? GOOD!

We could talk all day about why Product Copilot is different. But there’s no reason why you should believe us. The best way to see it is to try it for yourself. If you’d like to try it, you get 28 days of full access – no limits, no locked features.

If you’ve tried AI before and walked away frustrated, give it a shot. The difference is (not just) the tool – it’s that this one knows your world.