“Cursor is a much better product manager than I ever was”: How this PM uses AI for PRDs, Jira tickets, and replying to coworkers | Dennis Yang (Chime)

27 Oct 2025 · 50 min · 23 chapters

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In short

Dennis Yang (Chime) explains how he uses Cursor with MCP integrations to run a full PM workflow: drafting PRDs in Markdown, publishing to Confluence/Notion, replying to PRD comments, generating Jira epics/stories, and producing weekly status reports; he also prototypes AI products (e.g., a morning briefing agent) inside Cursor.

Guest background

Dennis Yang is Principal Product Manager for Generative AI at Chime. He builds generative-AI workflows for product management, emphasizing interoperability across tools.

Key claims

Cursor is a better “AI UI” for PMs than chat-only tools because it combines model access, local file context, Markdown preview, and tool interoperability via MCP (Jira/Notion/Confluence/Figma/GitHub). He argues systems should not “lock” content; source-of-truth should be accessible (ideally in the repo).

Notable examples

PRDs drafted in Cursor, pushed to Confluence via Confluence MCP, then Cursor reads PRD comments and drafts prioritized replies (high/medium/clarifications) that appear as Dennis. Jira MCP creates epics and well-described story tickets from PRDs. Weekly status reports are generated from Jira using JQL, improving async communication.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Introduction to Cursor and AI in Product Management

0:00 to 1:07

Learn how Cursor revolutionizes product management tasks with AI.

“We've seen so many people use tools like Cursor to write code.”

Introduction to Cursor and AI in Product Management

1:55 to 2:50

Learn how Cursor revolutionizes product management tasks with AI.

“AI is supposed to make work easier, but I've been there.”

Dennis's Workflow and Cursor Setup

3:01 to 4:30

Explore Dennis Yang's approach to using Cursor for efficient product management.

“I am really excited about this episode because we've seen so many people use tools like cursor to write code.”

Enhancing Productivity with Cursor Features

4:30 to 6:04

Learn about the key features of Cursor that enhance productivity for product managers.

“Web is very flexible, but I like cursor because it is, it's zippy.”

Collaborative PRD Creation Using Cursor

6:04 to 7:39

Understand how collaborative PRD creation is facilitated with Cursor and other tools.

“And you look and there's like a little red dot and you got to turn it back on.”

Integrating Git with Product Management Artifacts

7:39 to 11:20

Discover the integration of Git for managing product management documents effectively.

“Yeah, I think one big thing is as you're sort of working more and more, not just cursor, but just LLMs in general loves Markdown, right?”

Future of Documentation and AI in Product Management

11:20 to 14:00

Explore the potential future where documentation is integrated directly into code repositories.

“You're not writing directly in Confluence or Google Docs or anything.”

Integrating Documentation and Code

14:00 to 16:51

Learn how integrating documentation with code improves workflows.

“but rarely do we go back to the PRD to edit it.”

MCP Functionality and Interaction

16:51 to 19:20

Understand the functionality of MCPs and their role in project management.

“I have a lot of thoughts about where SaaS is going.”

AI-Enhanced PRD Management

19:20 to 24:41

Explore how AI assists in reading and responding to PRD comments.

“The current MCP server seems to be having issues.”
Show all 23 chapters

AI-Enhanced PRD Management

25:05 to 25:52

Explore how AI assists in reading and responding to PRD comments.

“changing how we work in real practical ways.”

Automating JIRA Ticket Creation

25:52 to 28:05

Learn how to automate the creation of JIRA tickets from PRDs.

“All right, so what's next after you're gathering comments?”

The Cognitive Load of Product Management

28:05 to 29:33

Explore the challenges product managers face in managing and communicating project updates efficiently.

“I say, that is such a toil reducer for product managers where you really hit cognitive fatigue on translating the same content for different audiences.”

Using AI to Streamline Status Reporting

29:33 to 31:24

Learn how AI tools can enhance the status reporting process for product managers.

“And then what's, as you're saying this, like what's another thing that product managers constantly do, which is that same exact shape?”

Improving Team Communication with JIRA

31:24 to 32:47

Understand how structured updates in JIRA can enhance communication and reduce time spent on status reports.

“since I didn't give it what a status report was, it's going to just figure it out.”

The Role of Asynchronous Communication

32:47 to 35:12

Discover the benefits of asynchronous updates in a hybrid work environment and how to maintain productivity.

“But I also want to call out for anybody who's working in the hybrid or remote environment.”

Crafting Effective Morning Briefings with AI

35:12 to 38:33

Learn how to use AI to generate personalized morning briefings for enhanced daily productivity.

“Everything's a morning briefing with you, I guess.”

Prototyping AI Products in Cursor

38:33 to 40:24

See how to prototype AI ideas using Cursor to streamline product development processes.

“Is my two word prompt, which I have to call you out on, that suggests morning briefing, like, is that sufficient?”

Building a Morning Briefing System

40:24 to 42:10

Understand how to develop a morning briefing system using AI and effective product management strategies.

“And I want to see how you would actually go about as a PM building that kind of product and prototyping it and testing it in Cursor in a really lightweight way.”

Using AI for Efficient News Briefing

42:10 to 45:28

Learn how to leverage AI tools to streamline the process of gathering news and generating reports.

“Step two, we have profiles about what news to look for.”

Getting Started with Cursor as a PM

45:28 to 47:35

Discover practical tips for product managers to begin using Cursor effectively.

“No code systems are typically write code, but there's no code.”

Best Practices for Engaging with AI

47:35 to 49:08

Understand how to communicate kindly and effectively with AI systems.

“hey, this is going to be a directory for product documents and artifacts.”

Connecting with Dennis Yang

49:08 to 49:30

Find out where to follow Dennis Yang and learn about his upcoming speaking engagement.

“Where can we find you and how can we be helpful?”
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Transcript

Automatic transcript. May contain errors.

0:00We've seen so many people use tools like Cursor to write code. We actually haven't seen anybody yet just using Cursor to write. That's what you're doing. The reason why Cursor is my favorite UI for the AI is it has all the interfaces and interactions and connections into the tools that are critical for my daily product management. I think we're at this really interesting place where because these primitives are being built in the context of software engineering, you're getting these concepts of markdown, git, commits, change tracking in these tools that used to be very software engineering centric.

0:35The most useful solutions will have interoperability as one of the key things. So any system that if it feels like it's locking that contents or data away, I'm not going to prefer to use that system. I don't care why you have these modes. I'm sure there's a good reason. But that's my content. and I want all my systems to be able to access it when it needs to. It's really improving communication. I'm reducing the time I'm spending writing status and at the same time improving the status content that is being circulated both up to leadership and across the organization.

1:06Welcome back to How I AI. I'm Clara Voke, product leader and AI obsessive here on a mission to help you build better with these new tools. Today, we have a fun conversation with Dennis Yang, Principal Product Manager for Generative AI at Chime. Now, this one makes me sweat a little bit because I thought I was the alpha AI powered PM. And Dennis shows me his workflows, which are way beyond anything I've seen before. He's going to show you how to use cursor to not only write your PRDs, but push them into Confluence or Notion, read comments, reply to comments, prototype AI tools, and more. This is an awesome one for anyone out there who's curious if you can make use of cursor without writing code, and I think you're going to learn a lot.

1:53Let's get to it. AI is supposed to make work easier, but I've been there. Weeks of setup, endless back and forth with engineering, and yet another tool the team never really adopts. That's why I use Zapier's AI orchestration platform. It connects with nearly 8 ,000 apps, so I can finally put AI to work without the drama, without the delays, and without pulling engineering in every time I want to automate something. With Zapier, you can roll out AI-powered workflows that do real work across your whole company in days, not weeks. I use Zapier every single day. It automatically responds to leads with enriched personalized data.

2:28It checks my calendar weekly and offers smarter ways to manage my time. And it even drafts emails for every new request that lands in my inbox. All of that running quietly in the background so I can focus on the work that matters. And Zapier's built for scale. With enterprise-grade security, compliance, and governance, it's trusted by teams at Dropbox, Airbnb, Opendoor, and thousands more. Go to try.zapier.com slash howiai to learn more about how Zapier can bring the power of AI orchestration to your entire org. Dennis, thanks for joining How I AI. I am really excited about this episode because we've seen so many people use tools like cursor to write code.

3:11We actually haven't seen anybody yet just using cursor to write. That's what you're doing as a product manager and somebody who's thinking about strategy all the time. So before we dive in, why cursor? Why writing? You're not writing a Licka code in here for at least this use case that we're going to see. So how did you kind of get into this flow with this AI-powered IDE? To me, the reason why Cursor is my favorite UI for the AI is a few things. It has access to all of the models that I want to try. So in Cursor, you can talk to Cloud, you can talk to GPT-5, you can do DeepSeek or whatever. That's the first thing.

3:52And then the second thing is it has access to a file system so it can write things down. And then it can have access to Cursor rules, which as you use it more and more, you can start to tell it how you want to do things. And then the final big thing is Interop. It actually works with all of the different tools that I need to work with. So that's through MCP. It can talk to Jira and Notion and Confluence, look at Figma, all these things. So basically, not only does it have the UI for the AI, it has all the interfaces and interactions and connections into the tools that are critical for my daily product management.

4:29You know, and the other thing that I would say is running on the desktop is just fast. You know, it's like pretty fast at doing those things as opposed to, you know, I think we're in this real moment where there's going to be a question of, are we going to start seeing more and more desktop apps for these AI powered tools just because of the performance side of things compared to web? Web is very flexible, but I like cursor because it is, it's zippy. So this is, this is your new hub for getting work done. This is what my screen looks like. And the other thing I'm noticing is that I want bigger and bigger screens.

5:04I'm running out of space because I want my chat, right? I want the thing, the artifact that I'm working on, and then I want the file system. And then over here, I actually have the – this is my settings pane docked to the bottom because you want to make sure that it's still green, right? So I need more screen real estate. and then yeah we had lee from cursor on recently and he walked us through the three pane kind of model of cursor for those who are listening and not watching you have your file system on the left where you're looking at what files you can work with or in context of cursor in the middle you have your artifacts whether those are code um code artifacts or content artifacts on the right you tend to have your chat and then something i want to call out for for people is you also have this bottom pane you can pull up and you not i was gonna say me as a developer that pain for me is always the terminal but this is a really nice little quality of life hack that i'm gonna start to use your bottom pane in cursor is actually the tools cursor settings so you can turn on and off mcps which i actually do all the time and confirm that they're working yeah exactly so sometimes cursor would be like, I can't do that thing.

6:19And you look and there's like a little red dot and you got to turn it back on. So. Yeah. Well, you know what, before we dive in, now that I'm curious and staring at your screen, would you mind sharing what MCPs just generally you have turned on? And then we'll go through the few that, you know, you really use on a daily basis, or at least in this workflow. Sure, sure. So I have MCP and I have two that talk to Atlassian suite. So one is our Jira Direct MCP. This is before Atlassian launched their MCP official server, first-party server. This is another one that I can just run locally. Notion, of course, talks to my Notion.

6:55Figma, talks to Figma if you have Figma running. And then GitHub talks directly. And then these two MCPs are, I'm actually going to talk about them. I'll talk about News API, which is an MCP I wrote to talk to News API. It's just an API that searches news articles. and then SEMrush is like an SEM, a search engine marketing MCP that I put together as well. Using cursor to write the MCP and then you actually can use cursor to install the MCP onto itself, which I love too. AI all the way down, as we say. Amazing. Okay. So, so you've loaded up cursor, you have it set up to write documents. Are there any other kind of cursor setup steps that you've done that you think are worth calling out for folks that are using it not?

7:40to code? Yeah, I think one big thing is as you're sort of working more and more, not just cursor, but just LLMs in general loves Markdown, right? So I'm starting to think more and more in Markdown. So I'm actually looking at something like this all day and writing and looking at Markdown. And then previewing Markdown is really important to see what it looks like, because this is actually hard to grok, right? So one of the good cursor settings here is, I think it's Markdown Preview. It's a setting that you can actually find inside. So you do Command, Markdown Preview. And in here, you basically want to automatically preview Markdown.

8:34and the extension that I'm using here, if you go to settings extensions, is called Markdown Preview Enhanced. So that's one I really like. And this one will actually automatically show in the preview pane when you click on it. Amazing. Which I absolutely love. Because it used to be that you had to know this secret code, which is like Command-Shift-V to open up the preview. But now you can just click on a Markdown thing and it pops in automatically. Yeah, I just want to call this out for folks who I know everybody loves Markdown now. It is the year of Markdown for sure. And Markdown can be rendered in a nice way.

9:17You don't have to look at a bunch of hash headers and weirdly formatted table content. So either by installing extension here or using that magic key combo there, you can get nicely formatted markdown right here in your cursor view. So, okay, we've done the setup. We've talked about extensions, cursors, your panes, your MCPs. Let's actually get into how you use cursor as a hub for workflow, how you would achieve something as a product manager, sort of end-to-end using cursor and these tools you've attached. I think it's been well-established that LLM's AI is really good for writing PRD. So you should be doing your PRD creation in whatever flow that you want, be it chat GPT or cloud or chat PRD.

10:06And for me, I actually do a lot of my writing. Now that I have this cursor set up, I do it directly in cursor. And it's working in Markdown technically. And I can preview it here. But here at Chime, it's not a single-player company. And I think that's one thing that I really want to be pushing on here is that the reason why you want to be interacting with all these other systems across not just your AI is that there are other people usually in your company that you want to be working with. So we have a ritual here at GIME, which is when PRDs are in early draft form, we'll share them out into our PRD drafts channel and then gather tons of comments.

10:44So I work inside Cursor. I'm making my PRD here. If it's in an early stage that I want some comments, I'll throw it into the PRD drafts channel. I do use Git to source control everything, but Git is not great for the whole company to go into and make comments. So I actually use the Confluence MCP to publish both into Notion and into Confluence because some people love using Notion, some people love using Confluence. um so then we have let's see here so we have here's this exact purity pushed into uh confluence um i pushed it into this uh last night and and threw it into our comments channel and already starting to get comments well what i want to what i want to call out really quickly before we go into maybe how this how this mcp actually works because i think people just like to see it is one, you know, we talked about using an IDE as basically your text editor, which is really interesting.

11:53You're not writing directly in Confluence or Google Docs or anything. You're writing in an IDE in Markdown with a nice preview. The second thing you call out that I'm curious your thoughts on is Git and source control for non-code assets or non-explicitly code assets. I think we're at this really interesting place where because these primitives are being built in the context of software engineering, you're getting these concepts of markdown, git, commits, like change tracking in these tools that used to be very software engineering centric. Yes. And I'm curious, just like, let's take a minute as product people.

12:37Do you think we're going to bridge that gap? Do you think there's going to be like Git for, well, maybe I should build it, but like Git for PMs? Or do you think we're still a little, like the abstraction is too high for it to be useful? And you need some of that UX polish that you're seeing in some of these more classic productivity tools. I have a lot of thoughts about this. So as we're sort of creating these artifacts that inform the product that we're building, traditionally today, these artifacts sit outside of the code base. So this PRD is sitting inside Confluence right here. But now what I'm realizing is since I'm using cursor and using Git to source control this artifact, it's actually now sitting inside this artifacts directory.

13:22And what I'm wondering is that if, I think I want to start to see if the artifacts are actually sitting inside the repo into which the code is being developed, that adjacency actually encourages the engineers and the AI coding assistant to continually have access to this. You don't have to give it an MCP to Confluence. This is the source of truth. So you can read it. And when things happen, so PRDs are typically a snapshot in time of this is what we thought the thing should be at this moment. In development, we constantly learn and iterate and learn and iterate, but rarely do we go back to the PRD to edit it.

14:05So what if I put a cursor rule in that says, hey, if I'm working on this feature and I'm learning things about the feature as I'm working on it, remember to update the PRD with the latest of how you're thinking about this. That's how the ChatPRD repo works. So we have a docs directory inside our sort of like repo for ChatPRD. It has a combination of product documentation and engineering documentation listed there. Even to-dos, like we've even pulled some of the like just task tracking into the repo because then, you know, everybody can work on it, AI or our human engineers. And so we've actually moved all of our documentation, PRDs, technical documentation, and user-facing support docs into the repo.

14:58Because, you know, when I'm working on the product, I'm 90 % of the time just working directly in the code. And the code needs the context of the documentation. The documentation needs the context of the code. And so I think it'll just be really interesting to see where the source of truth content pieces lie. I mean, the other thing that's kind of interesting is because you're in like a cursor or something that is a MCP client, you could just put the link to Confluence in there. And then it could call the MCP and look it up on this other source of truth. So, you know, who knows where all this data will accrue?

15:35There will be battle of the enterprise software source of truth. platforms. But I do think there's a lot of flexibility and optionality. And I do really believe, just like you said, code and documentation are going to start living in the same place more and more. Exactly. And that brings me to another thing that I'm really realizing is in this future, the most useful solutions will have interoperability as one of the key things. So any system that, if it feels like it's locking that contents or data away, I'm not going to prefer to use that system. Right? Yeah. Like I don't care why you have these modes.

16:13I'm sure there's a good reason. But that's my content. And I want all my systems to be able to access it when it needs to. Yeah. So I think that's going to be increasingly more important. Well, and what's really interesting is, you know, you've been in product management for a long time in B2B. And we used to always say in B2B, like your number one competition is like an Excel spreadsheet or a Google sheet. Completely. And now like your number one competition is like a source controlled markdown file. Like if you cannot outperform the source controlled markdown file as a SaaS offering, then you're not adding enough value.

16:50So I think it's gonna be really interesting. Okay. Apologies to our audience. You got two product people in here. I have a lot of thoughts about where SaaS is going. Let's get back to the workflow. So you're making your PRDs in cursor. You use the MCP, and it would be just really helpful for people who haven't used an MCP before, just to show how simple it is to do something like this. So let's say you wanted to push this PRD into Notion or into Confluence. Can you show us how that works for people who've never seen it before? Right. So this PRD looks great. actually this I need to tell look at that exclamation mark you're so polite so let's publish it into Confluence and I already pushed it so I'm going to tell it into don't overwrite the other one we already pushed make a copy please and I'm demoing this capability.

17:54All right, so we're demonstrating this capability. So this is basically all that's easy. So you always want to look to see that your MCP server is green. It's planning its moves out. And then basically, this is it. It's just running. It knows all of its tools. One thing, if you haven't seen how MCPs are set up, if you click on Tools Enabled, you can mouse over each one of these and you can get an understanding for how each of these tools works or what they do. And for me, just when I show people the MCP descriptions here, you start to form a mental model on what tools you've given your AI and what it could do.

18:36And how to ask for it. And so the other thing is not only how to ask for things from your MCP, so really understanding the naming of the tools, but the other thing is to look across your tools, And I'll tell you all a little painful issue that I ran into is a lot of SaaS products have things called projects or files or docs. And when I say update the project, it's like, do you want me to update the Confluence space? Do you want me to update the ChatPRD project? And so I think this ability to toggle on and off tools in the context of what you're working helps it just narrow in on what task you want to do.

19:12So a little lesson learned from Claire and named poorly named, maybe not in specifically named MCPs. Exactly. The current MCP server seems to be having issues. Is this what we get for doing it live? Yeah. Well, and here's the thing that you all, you know, here's the learning, how I AI. A couple of things. I think MCPs are really opaque to people who have not set up their first one. to set one up you're usually given at least on a hosted mcp a url you paste a couple lines of config into cursor or whatever your client is it'll like boop you to log into the app just like you would sort of go off another app or put in an api token and then that should give you access to it and then you do exactly what we're watching dennis do right now um if you all want to know the state of this highly stable technology and platform which is you toggle this button on and off over and over again until it turns green.

20:06Until it turns green. So we're going to give you the benefit of the doubt and say what really is going to happen is it's going to call these tools. One of these tools is going to say, push a Confluence document to a space, and then that's going to show up in your Confluence space as you prove in-house. This is the thread of conversation. This is what it should look like. You say publish this PRD into Confluence, and it effectively writes it. So when the MCP works properly. and then in my PRD itself I actually have a place where it can put its own published URL right so this is what it should look like once you've published it it really is this easy once the underlying plumbing is working properly yeah I do think that's worth calling out which is it's not just one way with these MCPs so you again showed hey I can take this content that I have in cursor I can push it to Confluence.

21:02But then you can actually do that round trip of context back into what you're working on in Cursor and say, great, add the URL to that page in my doc and update everything. And so it's just a very nice new user interface. This used to have to be buttons and complex API mappings. And now you have this language model that can figure out all these perimeters for you based on very high level context, do the work for you, kind of self heal on issues and go back and interface with other tools as well. So I think it's a really nice flow. So other than kind of creating PRDs and pushing them into Notion and or Confluence and how product manager-y of you that they have to go both places.

21:51They're both great tools. Yeah. Yeah. What else are you doing with these MCPs in terms of project management, project workflow, collaboration? We love to share our PRDs across the company to see what comments. This is the thread where I'm now gathering. Like I said, it looks like people have been commenting on the PRD. Please go through the comment one by one and let's see how we'll respond. So what the MCP actually does is it reads the PRD. It sees the exact comments. So I mean, I could use my own and read the comments myself and respond to them here in confluence but that's no fun um so we'll have cursor read the comments and then it actually does a breakdown this is this i found quite hilarious um it it organized the comments into high priority medium priority and then um other different types of clarifications and then actually wrote suggested responses um a lot of which sounded of decent.

22:49So I started saying like, yep, that one's okay. You can respond to that one. And since the MCP is authenticated as Dennis, as me, it appears to my other product managers at Chime that I am responding to their comments. Okay. So this is true behind the veil stuff. I have not seen this before. And this is spoken from somebody who has thought a lot about AI-generated PRDs. So just to clarify for people who are not watching, Dennis writes his PRDs in AI. He pushes them into Notion or to Confluence with AI. He then waits a little bit, reads the comments with AI. AI generates comments back and you review them and you either approve or not and then they get posted as you right so here's i love this i love it yes that's exactly the flow um and i am i'm in the loop right like one of the key things about building with ai is that you want to insert the human at the appropriate point um where they make a lot they're adding the most value right so gathering the comments that's not value add but reading them and understanding them and responding, like I can provide perspective there.

24:09Yeah, this is really interesting because I do feel like people are really good at that push part of creating an asset and pushing it into another system, but I haven't seen somebody sort of close the loop on the next step and iterate forward. I also think this shows that, you know, you're a busy person and honestly, people's, you know, The comments need you to think about them and agree with the response or not, but you don't have to type with your human fingers every single response. And you can also prioritize what you want to focus on. And I think that's really, really valuable as well. Exactly.

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25:41One in three startups in the US already runs on Brex. You can too at brex.com slash howiai. All right, so what's next after you're gathering comments? Your PRD's great. All of your compatriots are loving the PRD that you've created and commented on. Typically, the next step in a workflow is to ticket this out into JIRA. So read the PRD and create an epic in the TI project. So I created a task automation is our JIRA project that we're going to be using. I'm going to make sure this is green, and then we'll watch it work now again. So what I really like about this is that when I'm doing this, right, it's reading the PRDs.

26:30I don't know what all of my other fellow product managers are like, but when Dennis creates tickets in JIRA, I could probably do a better job. But when Dennis's cursor creates the tickets, Dennis's cursor reads the PRD that I've spent a lot of time doing and then splits the effective tickets. The story tickets in particular are very, very well described. Yeah. So I love doing this style of ticket creation because it really, it does what you wish you could do if you had infinite amounts of time. It's your words. It's your PRD. It's your stories. And it's putting them where they should go, which is in the actual story tickets that then go to the engineers.

27:12And then they can, you know, you can always just say read the PRD, but they have to read the whole PRD. So let's create story tickets. Let's get this ready when it's ready. that are all, let's create story tickets that are all associated with the parent epic for this feature. And again, this is sort of a conversational flow. I've in my personal cursor for product management cursor roles, I'll say things like remember to always associate story tickets with their parent epic. I did notice that when I was doing this at first and it didn't say associated, then it would just create orphaned tickets without association.

27:56So this is the flow, right? It's handling a lot of the busy work, right, of that I don't get a lot of value from doing. Well, and I want to go back to what you were saying, which is this is one of those tasks, I say, that is such a toil reducer for product managers where you really hit cognitive fatigue on translating the same content for different audiences. And like PMs out there, we feel you, we know what you do. You take your customer notes and you turn them into a PRD and then your engineers don't want to read the PRD. So you make a one pager and then the one pager has to turn into an email for your boss.

28:35And the email for your boss needs to be three bullet points for your CEO. And like, you just do all this translation and then you get to like JIRA tickets or support documentation and you're like, I can no longer do a good job here. I have reached the limit of my cognitive interest in this task. And so you get lazy and you like kind of like do the epic name and the ticket names and then you say link to PRD in the in the description and you push that cognitive load on another person in your team. And so I think one of these tasks that are kind of like administrative, low, you know, low incremental value is a really good thing to offload something to, you know, to Claude or AI with.

29:24Completely. A lot of this like housekeeping rigmarole, like these tools are so good at. And then what's, as you're saying this, like what's another thing that product managers constantly do, which is that same exact shape? We update status. So how might I use cursor to update status? So here's our epic. Let's pretend I'm one of the engineers and I pick up one of these tickets. I comment. And look at the ticket. It has story. It has gherkin. has acceptance criteria, man. I built an agent or two that does this in a couple other platforms than Jira. And it's just like, everybody's like, oh, I got a good ticket.

30:11I got definition of done. It's organized. So this is a better job than I would do. I'll tell you that. I mean, Cursor is a much better product manager than I ever was. And now we're going to make it done, right? So we're going to do a few tickets in here. Once again, what is a status report other than using a tool and doing a job. So let's, once again, it's time for status reporting. Let's write a status report and describe everything that has happened since 9.24 or for this epic. Give it this epic here. And what it'll do is it will look at, it'll write JQL and essentially write a status report, right?

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31:11And I've been doing this for about almost two months now, where every week, my weekly status report, I have a very long cursor rule now that I'm able to do this sort of repeatedly. because one thing that you'll notice is since I didn't give it what a status report was, it's going to just figure it out. This is like a zero context status report request. And you likely will have some ideas as to what you want from your status report. So the recommendation here is you do it interactively first. And then at the end of this whole process, you would review the work and then give it feedback to do it better.

31:49And then you would save that into a cursor rule of this is my weekly status report, right? And what we learned when we started doing this on a weekly basis is that since the source of truth was in JIRA, like my engineers started commenting more in JIRA about what was happening because they knew that someone was looking at it, right? And those words and that context was being added to the tickets. And even if you don't, even if you have a JIRA ticket that simply goes from in progress to done and only has a ticket title and nothing in description, that's actually sufficient context to say that this thing went from this to done, right?

32:31So it's really improving communication. I'm reducing the time I'm spending writing status and at the same time improving the status content that is being circulated both up to leadership and across the organization. Well, and I've been to your office, so I know you all have lovely and lots of nice time together. But I also want to call out for anybody who's working in the hybrid or remote environment. One of the biggest taxes on organizations is synchronous communication, where like a PM is pinging an EM or an engineer being like, what's the update here? and sort of like allowing those updates to go into a source of truth and then be queried in a really natural language way.

33:16Again, you don't have to change your behavior as a PM. You can still ask what's the update here, what the status, your life is better. But the source of that data is more structured, can be more asynchronous, I think allows people to like do less context switching, less synchronous communication, all those things that just give us more time to create. So I think that's a really interesting secondary effect of what you're showing here. Definitely. And, you know, even if you're doing an in-person or over Zoom kind of status update, again, we have all these tools, you know, to record, transcribe, document, and put all of this content back into where it should go, like hang it off of the Jira ticket, and then it's all organized for AI.

34:00And now you've given me like, maybe this is like a chaotic good idea, but I was like, oh, you know, as a PM, you really got to get people to like you. Like this is one of these things. Pro tip. PM's got to be likable. And I'm like, oh, man, you can use the cursor or not the cursor MCP, but Atlassian MCP to like put nice comments on JIRA tickets that are done. Right. Like, thank you. I mean. Thank you. I do a lot of thank you emojis. Yeah. Right. It's the fabric of culture that we have to establish across. Yeah, it's the fabric of culture and also just powered by a commercial large language model.

34:37This is where we're at. I love this. I think this is a really interesting example because, again, it doesn't matter what the content of what you're working on is. I think everybody can take away. I can write an asset. I can push it to the right sources. I can query the comments. I can query the feedback. I can translate that for my team in whatever format they need. and I can get aggregate insights and updates. So this awesome flow has given me a lot of ideas that I am going to take. So we have one more quick, kind of like a little bit more personal workflow that you were gonna show us. So let's bop over to that and see how you start your morning.

35:13Everything's a morning briefing with you, I guess. Yeah, exactly. This is how, so how do I start my day? One kind of fun thing that I like to start everyone with when I'm talking to them about ChatGPT is you go into ChatGPT and all you say is, write me a morning briefing based on what you know about me. And ChatGPT has added fantastic memory to its system such that its morning briefing is actually pretty decent. So how I begin my morning is with ChatGPT every morning, it essentially compiles for me what it thinks I'm going to be interested in. And I've been doing this for a long time. And every morning at around 5 a.m., it automatically creates this morning briefing for me based on what it knows about me.

36:06So you can see here we had an earthquake. These are the national stories. And what I did notice is after a while, it's starting to actually start to lose the plot. So I need to, instead of informing it by just memory, I'm thinking now I need to give it more context. and specifics of what I want. So this to me is actually, it's informative in understanding that even open AI is not perfect at figuring out what memory context is relevant for a very, very small request like morning briefing. But one of the key things that I really tell everyone in terms of how do we learn how to use AI, you have to use it in this way, and you can kind of understand and get a gut feel for how it does a bad job sometimes.

36:53It really helps you understand how to make better AI products. And is this a custom GPT? Do you just literally write morning briefing? Is it just a longstanding chat? What is it? This is a chat GPT project into which I've given it no help. I have not told it anything around what it should be doing or even given the files. because I'm actually trying to see how it does with only the previous threads that we've been doing. Interesting. And then you just say morning briefing and it goes. Yep. It used to do a fantastic job. I would say about a month ago, it did a great job every morning. It's feeling like either it's losing the plot and this project is getting too big or some sort of model changes.

37:41I'm not really sure. Yeah. Oh, no, those are bullet points. So that's GPT-5 right there. Yeah. But I do like how they're putting these little screenshots in, which is nice. But this is like, no, there's no AI news anymore. And like, where did my AI news go? Maybe the takeaway for folks here is, you know, if you're trying to get into AI, I think for two reasons. One, if you're trying to get into AI for personal productivity reasons, find a daily use case. It's like really simple, consistent, adds a little value in your life just because it'll add a little value in life. I think the second order effect of that, though, as somebody who's thinking about AI is it's a really sort of natural, repetitive way to learn about the strength, weaknesses, evolution, skill sets of these core models on which almost every product, you know, for the next couple of years is going to be built.

38:29And so you can start to form your own intuition as a product person of, okay, like, why is memory failing here? Why is context failing here? Where do instructions really help? Is my two word prompt, which I have to call you out on, that suggests morning briefing, like, is that sufficient? I'm coming in and I'm typing this in every morning. I should probably test the like schedule repeated task thing. And so, again, I just think get in there and find something that every day you're going to find useful so that you're getting used to these tools and you're really understanding what their capabilities are.

39:02And then if you become somebody who's going to build these tools, you're a little bit ahead. You have more language about what makes a good user experience with AI. Exactly. If you're not using it every single day, you will not notice when things get better or worse. You know what? This is very true because I opened Cursor today. And I don't know if this is an effect of I really did not sleep well last night. But Cursor is like so chipper today. It's like real friendly. I think also because I'm like Claude Sonnet 4 today, which I rarely use. Oh, really? It's like such a cheery little guy. Oh, yeah.

39:38I like like like like a grumpy, like a like a GPT-5 middle of the road, like factual staff engineer or just like a clinically depressed Gemini 2-5. So I mean, so those are like, why is this model being so nice to me today? Like, this is exactly what I need. And then I was like, oh, it's sweet little quad. And unless you talk to all of these different models, you won't have a mental model of how that what their personalities are like. All right. So you showed us how you can just create this and kind of like prototype this morning briefing in chat GPT. But I know you. You're an AI PM. You want to build this thing.

40:16And I love the way you prototype your actual AI products and agentic products in Cursor. So let's whip back to Cursor. And I want to see how you would actually go about as a PM building that kind of product and prototyping it and testing it in Cursor in a really lightweight way. That's great. I love this question because I always tell people you should be prototyping all of your AI product ideas inside ChatGPT first, right? You should just try it. That effectively was my morning briefing prototype, was ChadGBT. And now I use Cursor itself to continue to prototype in what I call typically a super MVP, super minimal.

41:00And the reason why it's super minimal is because I'm using Cursor itself, which is AI, to prototype the AI product that I'm about to build. Does that make sense? Yeah, yeah, yeah. Yeah, because cursor has access to all these models. So you don't have to set up too much to at least get the baseline sort of access. So how do we do this? So we have our PRD that we just wrote. Here's the problem. Here's some solutions. I have it write a TDD for itself. Here's my TDD. For super, I say, you're going to be a super MVP. You, cursor, are going to help me prototype and understand how to do this. And just for folks that don't live in three-letter PM word, TDD is a technical design document.

41:43Yes. So cursor itself will write an approach, a technical design document, to prototype this product that I'm trying to build using AI, which is a morning briefing system. So what the SuperMVP instructions now are is it's going to create instructions, and this is what we're looking at now, for cursor to do the task that I want it to do. In this case, you can see here, step one, load the configuration. Step two, we have profiles about what news to look for. Step three, use the MCP News Search tool to search for news, and then process the content, summarize it, and create a report. So this is effectively what some are calling prompt engineering, but instructions for the AI to do the job.

42:34That looks all great. Now I can just say at super MVP agent instructions, run today's briefing. Yeah. Go. Make sure my MCP is still green while this is running. Looks good. And there it goes, right? So basically it's creating this report that I just defined in our PRD, allowing me to prototype it. I love their new to-do function, by the way. Oh, me too. love it um if you notice here this is uh it's running date amusingly sometimes cursor doesn't know what date or time it is and it will argue with you um about what date it is so i told it um make sure to run like the terminal date command yep um so you can check what date it is and this effectively is doing the whole job right now of going to the news mcp gathering news that I'm interested in.

43:33It's going to read the output and then generate the report. And right now this, I'm using CloudForce on it. The amazing thing about this is I can use these same exact instructions and have GPT or Gemini or, you know, any other model run it and see how each model differs. Okay. So this may be super nerdy, but this is blowing my mind because if I, if I, I am somebody who builds AI products. And I am somebody who thinks like prototype in a chat GPT or some like consumer general product, and then pull it in. And the silly thing that I would do that you're opening my eyes to is I would go write code, I would like go write TypeScript or Python or whatever.

44:18And I would call in these like libraries, these SDKs. And I would structure my function responses. And I would like do all this work. But what you're showing as a hack is cursor actually has built-in tool calling, model switching, like agentic workflows. And so bypass all that rote setup for yourself in this prototype phase. Just provide like the natural language description of the tools and functions or MCPs and let cursor do the dirty work of calling the right models, chaining the thought, all that kind of stuff. Then when you feel like your instructions in your general structure right great somebody can write some code but this is just like such a perfect intermediary step and such a hack for this like all-purpose platform for ai that that cursor is going to become um that i think is just really clever so good job dennis thanks yeah this is it's a really fun way to work because like this isn't even no code it's like zero code yeah I guess it is no code.

45:27It's really no code. It's not writing any code. No code systems are typically write code, but there's no code. The words are the code. Well, okay. And this is not as catchy as vibe coding, but we're like vibe agenting. We're like writing a pretty complex agent setup. And instead of like buttons and prototypes and forms and flows, we're just getting kind of like an AI powered experience. And now we're seeing here your morning briefing. Yeah. And this is it. And I mean, basically, like we're we're so close to just just shipping this thing. Right. Like I can. This is the content. This is today's.

46:06This is today's news brief for me. Yeah. And this is a place where then a PM can come in with opinionated defaults on. I think this should be Claude Sonnet. I think. Right. You know, make sure you're calling it a daytime tool. like here's the mcp that i set up for myself to pull news like if not this one another one and so it allows you to get that next step on implementation as opposed to off offloading that to the engineering team yep who might not be as opinionated on the user experience side that's right love it very good bravo my friend okay dennis this is so fun i have so many ideas um AI all the way down.

46:48I have a couple lightning round questions for you and then we'll get you out of here. Okay. One, do your colleagues know that you're replying to their comments with AI? Or is this a spoiler alert? No, I don't. Fellow PMs. 100 % I think they all know. I think the one single benefit of us being returned to office in person is that before that, I don't think people believed that I was actually a real human. So they all know that I'm fully AI enabled. Perfect. I love it. Okay, my second use case is, or my second question for you is, how would you recommend a PM get started with cursor? Are you just like literally opening up a cursor and saying, hey, this is going to be a directory for product documents and artifacts.

47:43there's going to be no code here set it up like what's your zero to one quick quick start yeah my zero to one quick start is basically you open it up and you make a brand new directory just called like blanker in that case and then you just start talking to because as soon as you do that you'll have a chat pane right so uh and then you can start learning um how this actually works amazing okay and then my last question my favorite one um you were so polite you were so polite to your to your ai so i know this will be a good answer but when for example you're toggling on and off this mcp or it's calling the wrong tool or it's overriding your um epic tasks with the wrong thing what is your prompting technique what's your go-to i think most people that know me know me to be a very kind, nice person.

48:33I don't, I'm not a yeller at, I don't yell at the AI. I'd say a lot of please. I say, as you noticed, I'd use a lot of exclamation points. And sometimes I just kind of start the thread all over and just like, all right, let's just start new, right? Completely time travel back in time and be like, let's start over. Maybe you need a break. That response has just like soothed my inner child. So I love to hear it. Very calm, very positive, very kind, and just walk away when you need to. That's a wise response. Okay, Dennis, this has been so great. Where can we find you and how can we be helpful? You can find me, I'm online typically as Sind, Dennis backwards.

49:16I'm Twitter, X, and then LinkedIn. You can find me there. I'm just Dennis Yang. And I'll be speaking at the FinTech NerdCon conference in November, trying to gather as many AI-enabled people there. So come and join me there. Amazing. Well, thanks for being here. Really appreciate you walking us through this. Thanks for having me. This is fun. Thanks so much for watching. If you enjoyed this show, please like and subscribe here on YouTube or even better, leave us a comment with your thoughts. You can also find this podcast on Apple Podcasts, Spotify, or your favorite podcast app. Please consider leaving us a rating and review, which will help others find the show.

49:57You can see all our episodes and learn more about the show at howiaipod.com. See you next time.

From the publisher

Dennis Yang is the Principal Product Manager for Generative AI at Chime, where he’s pioneered AI workflows that meaningfully increase productivity. While most people use Cursor as a coding tool, Dennis has turned it into a comprehensive product-management system that automates PRD creation, documentation management, ticket creation, status reporting, and even comment responses—without writing code. In this episode, he shares his end-to-end workflow and how non-technical professionals can leverage AI-powered IDEs.


What you’ll learn:

  1. Why Cursor is the perfect hub for product management (even if you don’t code)
  2. How to use MCPs (Model Context Protocols) to push content between Cursor, Confluence, and Notion
  3. The workflow for creating PRDs in Cursor and automatically responding to comments
  4. How to automate Jira ticket creation directly from your PRDs
  5. A system for generating comprehensive status reports without manual work
  6. How to prototype AI products in minutes using Cursor as a “super MVP” environment
  7. Why source-controlled markdown files might replace traditional SaaS tools

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Brought to you by:

Zapier—The most connected AI orchestration platform

Brex—The intelligent finance platform built for founders

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Where to find Dennis Yang:

Twitter/X: https://twitter.com/sinned

LinkedIn: https://www.linkedin.com/in/dennisyang/

Chime: https://www.chime.com/

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Where to find Claire Vo:

ChatPRD: https://www.chatprd.ai/

Website: https://clairevo.com/

LinkedIn: https://www.linkedin.com/in/clairevo/

X: https://x.com/clairevo

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In this episode, we cover:

(00:00) Introduction to Dennis Yang

(03:00) Why Cursor is ideal for product management workflows

(04:53) Setting up Cursor for non-coding use cases with markdown preview

(09:35) Creating PRDs in Cursor and using source control for documentation

(10:33) Using MCPs to publish content to Confluence and Notion

(11:38) Bridging the gap between engineering and product

(17:00) Reading and responding to document comments with AI assistance

(21:37) Creating comprehensive Jira tickets directly from PRDs

(25:51) Generating automated status reports from Jira data

(30:23) Building a morning briefing system with ChatGPT

(35:03) Generating personal morning briefings using ChatGPT

(40:04) The “super MVP” approach to AI product development

(46:37) Lightning round and final thoughts

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Tools referenced:

• Cursor: https://cursor.com/

• Confluence: https://www.atlassian.com/software/confluence

• Notion: https://www.notion.so/

• Jira: https://www.atlassian.com/software/jira

• ChatGPT: https://chat.openai.com/

• Claude: https://claude.ai/

• Git: https://git-scm.com/

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Other references:

• News API: https://newsapi.org/

• Semrush: https://www.semrush.com/

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Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

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