[Highlight] Grammarly's Evolution into an AI Agent Platform with Shishir Mehrotra

Village Global PodcastJan 28, 202612 min

Shishir Mehrotra reframes Grammarly as the pioneering AI agent platform, arguing that its ability to operate seamlessly across 500,000 applications makes it the original agent architecture. He presents a compelling vision for how Grammarly is evolving from a grammar tool into an open platform for AI agents, drawing parallels to YouTube's distribution model and challenging assumptions about which companies are best positioned to build in the agent economy.

Key takeaways

•Grammarly built the first true AI agent by creating technology that reads screens, annotates unobtrusively, and acts on behalf of users across any application.
•Horizontal AI companies fall into three distinct categories: assist, chat, and do - with 'do' representing the emerging headless agent market.
•The real competitive advantage isn't the AI model but the technical architecture that brings AI directly to where people work.
•Traditional app companies like Duolingo have unexpected opportunities in the agent economy beyond their core products.
•Platform thinking beats product thinking in AI - distribution for agents matters more than building the perfect individual agent.

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0:00

Best moment

4:00· 34sBold/Contrarian

The actual thing that Grammarly has built is a technical architecture for bringing AI right to where people work. We didn't call it AI when that happened, but Grammarly built the first agent, the original agent.

4:00 / 4:34

But, they described to me what the technology of Grammarly is, and it's it was a little bit different than how I thought about it. So the actual thing that Grammarly has built is a, technical architecture for bringing AI right to where people work. Now we didn't call it AI when that happened, and, you know, the the the team has sort of, they thought about the whole thing differently. But the the view is that Grammarly built the the first agent, the the original, agent. And, you know, if you think about it that way, what Grammarly does is it works in about 500,000 or so different applications. So every,

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Village Global Podcast

Bold/Contrarian

The actual thing that Grammarly has built is a technical architecture for bringing AI right to where people work. We didn't call it AI when that happened, but Grammarly built the first agent, the original agent.

Reframes Grammarly's entire value proposition from grammar checker to AI infrastructure pioneer. The revelation that they were building AI before calling it AI adds credibility to the bold claim, challenging conventional understanding of the company's positioning.

4:00 - 4:3434s

Village Global Podcast

Bold/Contrarian

Grammarly built the first agent, the original agent. What Grammarly does is it works in about 500,000 or so different applications. Every web app, desktop app, mobile app that you use, everything from Slack to Gmail to Salesforce, Grammarly can read your screen, annotate it in a way that is unobtrusive to anything else you're doing, and it can make changes on your behalf anywhere.

Bold claim that Grammarly was 'the first agent' reframes a familiar grammar tool as a pioneering AI platform. The massive scale (500k applications) and technical capabilities described challenge how people think about what Grammarly actually is versus what they thought it was.

4:20 - 4:5233s

Village Global Podcast

Consequences

Probably not the agent you started with - how do I get the high school grammar teacher to go do something. It turns out to be really, really valuable, especially when your grammar teacher can sit right next to you and help make sure you spell your company's name properly.

Relatable metaphor of the grammar teacher 'sitting right next to you' makes the AI assistant concept tangible. Shows the unexpected value discovery - what seemed like a simple grammar tool became something much more valuable when repositioned as an always-present assistant.

5:23 - 5:5128s

Village Global Podcast

Business Mechanics

The idea is to open up the platform to anybody. Grammarly starts to feel a little bit closer to what we built at YouTube. It's an open platform where a big piece of what we do is get distribution for your agents.

Explains the strategic shift to platform model with a compelling analogy to YouTube's success. The distribution angle reveals the key value proposition for developers and positions Grammarly as infrastructure rather than just an app, showing clear business model evolution.

6:16 - 6:5639s

Village Global Podcast

Practical Framework

The horizontal AI players roughly break into three buckets: assist, chat, and do. If you use ChatGPT a dozen times in a day, you'd be a pretty heavy user. There's another bucket I call 'Do' - those are all the people building agents and AI that goes off and does things in a headless way.

Clear categorization framework for understanding the AI landscape with specific, memorable labels. The ChatGPT usage benchmark provides concrete context, and the 'Do' category introduces a less familiar but important concept that helps people understand where different AI tools fit.

7:14 - 7:4935s

Village Global Podcast

Origin Story

Luis, the CEO of Duolingo said 'that's really cool, probably doesn't apply to us. We build apps. Somebody else will build agents.' And I said, 'no, no, no, I think it actually applies to you as well.' And we ended up brainstorming for the next hour.

Concrete story showing how even sophisticated tech CEOs initially misunderstand the agent opportunity. The dialogue format makes it engaging, and the pivot from skepticism to hour-long brainstorming session demonstrates the 'aha moment' that many companies will have.

8:56 - 9:2024s

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[Highlight] Grammarly's Evolution into an AI Agent Platform with Shishir Mehrotra

Key takeaways

Listen to full episode

Best moment

The actual thing that Grammarly has built is a technical architecture for bringing AI right to where people work. We didn't call it AI when that happened, but Grammarly built the first agent, the original agent.

Transcript

6 clips

The actual thing that Grammarly has built is a technical architecture for bringing AI right to where people work. We didn't call it AI when that happened, but Grammarly built the first agent, the original agent.

Probably not the agent you started with - how do I get the high school grammar teacher to go do something. It turns out to be really, really valuable, especially when your grammar teacher can sit right next to you and help make sure you spell your company's name properly.

The idea is to open up the platform to anybody. Grammarly starts to feel a little bit closer to what we built at YouTube. It's an open platform where a big piece of what we do is get distribution for your agents.

The horizontal AI players roughly break into three buckets: assist, chat, and do. If you use ChatGPT a dozen times in a day, you'd be a pretty heavy user. There's another bucket I call 'Do' - those are all the people building agents and AI that goes off and does things in a headless way.

Luis, the CEO of Duolingo said 'that's really cool, probably doesn't apply to us. We build apps. Somebody else will build agents.' And I said, 'no, no, no, I think it actually applies to you as well.' And we ended up brainstorming for the next hour.

From the blog