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Event

Prototyping Your Way to Success: How Grammarly Builds AI-Powered Products

2025-04-09 – 2025-04-09 Meetup Visit website ↗

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Thank you for your interest in our meetup. Due to the venue’s capacity, registration is now closed. We appreciate your support and look forward to seeing you at future events.


Join us on April 9 to learn how Grammarly builds AI-powered features, balancing speed, experimentation, and long-term strategy.

AI is reshaping the product landscape, with industry behemoths investing billions to integrate AI features into their products. What are the chances of catching up with them to ride the AI wave?

We’ll share our journey of developing an LLM-based product that users like, from cutting through AI hype to setting realistic goals, rapidly building prototypes, and making AI valuable for users.

Grammarly was building AI-driven features long before the latest AI boom. Over the past two years, we’ve evolved our product by leveraging the latest advancements in LLM technology—and we’re excited to share what we’ve learned.

Join us to explore the future of AI product development—beyond the hype.

🔈 Speakers:

💥 Who will be interested: Who will be interested: Product and Design people and everyone interested in building products

Agenda: 18:30 Doors open: registration and time for networking with fellow attendees 19:00 Talks 20:00 Mingling and networking 21:00 Meetup ends

✅ Where: In person, Grammarly Berlin hub ✅ When: Wednesday, April 9 ✅ Language: English ✅ Use this link to register: https://gram.ly/4l0VFdI The event is free. Registration is mandatory. Due to a limited number of seats, the invites will be sent to a limited number of registered on a first registered first invited basis. Please check your inbox for a confirmation email about your attendance.

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Grammarly builds AI-powered features: balancing speed, experimentation, and long-term strategy

2025-04-09
talk
Sasha Marynych (Grammarly) , Paulo Ferreira (Grammarly)

Journey of developing an LLM-based product that users like, from cutting through AI hype to setting realistic goals, rapidly building prototypes, and making AI valuable for users.