Greg Isenberg

Okay, so first things first is that perplexity is faster than chat GPT. You can see that chat GPT is about halfway done. Perplexity is done. So that's really cool. So let's go through the ideas. Let's go see. Funny enough, actually, one of the sources is me. One of the sources is I went through one of my YouTube videos

three $1 million AI startup ideas to build in 2025, links to it, and that's hilarious. That's actually, it's kind of ridiculous. But it's cool that it goes through YouTube, you can see, and it obviously downloads that transcript and goes through it. So let's go through these ideas and you be the judge. You tell me, are these good ideas? Are they bad ideas? Let's go see.

three $1 million AI startup ideas to build in 2025, links to it, and that's hilarious. That's actually, it's kind of ridiculous. But it's cool that it goes through YouTube, you can see, and it obviously downloads that transcript and goes through it. So let's go through these ideas and you be the judge. You tell me, are these good ideas? Are they bad ideas? Let's go see.

three $1 million AI startup ideas to build in 2025, links to it, and that's hilarious. That's actually, it's kind of ridiculous. But it's cool that it goes through YouTube, you can see, and it obviously downloads that transcript and goes through it. So let's go through these ideas and you be the judge. You tell me, are these good ideas? Are they bad ideas? Let's go see.

So number one, legal contract. This is on the perplexity deep research answer. Legal contract lifecycle automation agent. Problem space. Corporate legal teams waste 23% of their time manually reviewing boilerplate contracts with struggling employees. while struggling with version control errors that cost enterprises 2.4 billion annually compliance penalties.

So number one, legal contract. This is on the perplexity deep research answer. Legal contract lifecycle automation agent. Problem space. Corporate legal teams waste 23% of their time manually reviewing boilerplate contracts with struggling employees. while struggling with version control errors that cost enterprises 2.4 billion annually compliance penalties.

So number one, legal contract. This is on the perplexity deep research answer. Legal contract lifecycle automation agent. Problem space. Corporate legal teams waste 23% of their time manually reviewing boilerplate contracts with struggling employees. while struggling with version control errors that cost enterprises 2.4 billion annually compliance penalties.

Existing CLM solutions require extensive customization and fail to adapt to company-specific negotiation patterns. Okay, so an AI agent, here's a defensible solution that integrates, number one, integrates directly with email, SharePoint, and DocuSign via API. Two, learns organizational risk thresholds through historical contract analysis.

Existing CLM solutions require extensive customization and fail to adapt to company-specific negotiation patterns. Okay, so an AI agent, here's a defensible solution that integrates, number one, integrates directly with email, SharePoint, and DocuSign via API. Two, learns organizational risk thresholds through historical contract analysis.

Existing CLM solutions require extensive customization and fail to adapt to company-specific negotiation patterns. Okay, so an AI agent, here's a defensible solution that integrates, number one, integrates directly with email, SharePoint, and DocuSign via API. Two, learns organizational risk thresholds through historical contract analysis.

Three, auto-redlines third-party paper using firm-specific fallback positions. And four, maintains version lineage with blockchain-style audit trails. Now, By the way, I think this is actually cool, but for an MVP, Minimal Viable Product, do we need Lockshale Stein audit trails? Not really, but I guess we can further prompt perplexity to ask it, what would be the MVP for this?

Three, auto-redlines third-party paper using firm-specific fallback positions. And four, maintains version lineage with blockchain-style audit trails. Now, By the way, I think this is actually cool, but for an MVP, Minimal Viable Product, do we need Lockshale Stein audit trails? Not really, but I guess we can further prompt perplexity to ask it, what would be the MVP for this?

Three, auto-redlines third-party paper using firm-specific fallback positions. And four, maintains version lineage with blockchain-style audit trails. Now, By the way, I think this is actually cool, but for an MVP, Minimal Viable Product, do we need Lockshale Stein audit trails? Not really, but I guess we can further prompt perplexity to ask it, what would be the MVP for this?

In ChatGPT, we said it was going to be $5,000 or less, so... That's an interesting thing that if you are going to prompt perplexity, you might want to include some more constraints because you probably won't get that follow-up question. Why is it defensible?

In ChatGPT, we said it was going to be $5,000 or less, so... That's an interesting thing that if you are going to prompt perplexity, you might want to include some more constraints because you probably won't get that follow-up question. Why is it defensible?

In ChatGPT, we said it was going to be $5,000 or less, so... That's an interesting thing that if you are going to prompt perplexity, you might want to include some more constraints because you probably won't get that follow-up question. Why is it defensible?

develops institutional memory through continuous exposure to negotiation outcomes, becomes embedded in legal department workflows, average 14.3 logins per week per user. This is data. This is great. This is a great insight. This is something that if you're building a business, you want to know that. It's really helpful.

develops institutional memory through continuous exposure to negotiation outcomes, becomes embedded in legal department workflows, average 14.3 logins per week per user. This is data. This is great. This is a great insight. This is something that if you're building a business, you want to know that. It's really helpful.

develops institutional memory through continuous exposure to negotiation outcomes, becomes embedded in legal department workflows, average 14.3 logins per week per user. This is data. This is great. This is a great insight. This is something that if you're building a business, you want to know that. It's really helpful.

It requires retraining equivalent to six to nine months of human experience to replace it. And by the way, you can always click on one of these numbers to get to the source and go deeper. So here we have the growth playbook by perplexity. And let's go see if this is actually good. This, I will say, this agent, I mean, seems super valuable. I totally agree why it would be defensible.