Tulsee Doshi
On Lenny's Podcast: Product | Career | Growth
“What you should be providing is the insight. What the model should be providing is the data. If you can separate those two things, then hopefully you find the right balance.”
Lenny's Podcast: Product | Career | Growth · In-Depth Interviews · November 2026
Context
Lenny asked about 'AI slop', colleagues sending documents written by AI. Doshi gives her rule for when AI-written documents help: for example, a post-launch report that pulls usage and feedback from dashboards and social media faster than any person could.
Transcript
…tell you meaningfully different things about why they come to work every day and what they find value out of. And so I feel like part of it for me as like an org leader also is to think about what motivates the individual and how do we make sure that they are set up for success in that setup too.
…lot of the issue was spending time writing docs and now it's like reading docs is the problem because you're just all this AI written stuff. Do you have any kind of, I don't know, processes or policies you've put in place in your team to help avoid this rise of AI written content across the teams?
One of the things that we talk about a lot is where are these docs useful, right? So like, for example, I think where AI generated docs are actually quite helpful, for example, is after you launch something and let's say two weeks later, you want to pull the latest of like who's using it, how are they using it, what's the feedback. That's the kind of document that AI is fantastic for, right? Because it will actually do that just so much faster than you, right? It will go and pull from various dashboards and metrics. It'll give you an update. It'll pull kind of strengths and weaknesses. It'll pull from Twitter analysis and Reddit or whatever. And so I think one of the things we talk about is be intentional about where is AI helping you drive content in the doc that is helpful versus where is it content that should come from you, right? Where is it insight? And so what you should be providing is the insight. What the model should be providing is the data. And…
That's actually something I was wanting to ask about. So in terms of the PM role, AI has clearly made a big dent on prototyping. You can prototype telecows come home now versus having a designer or an engineer build a thing. So that's clearly a place the role has changed with AI. The other area…
Yeah, prototyping is a great one. I think you're right that like data science is probably like, I think you are more empowered to have the data at your fingertips to make data-driven decisions. I also think actually, like to our earlier conversation, you know, you see these on social a lot, these…
Awesome. Okay. That aligns with a lot of what I'm hearing. Tulsi, is there anything else that you wanted to share? Is there anything else you think you want to double down on that we've talked about that you want to say before we get to our very exciting lightning round?
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