How has adopting AI-native platforms changed your team's work?

Tamar Yehoshua

Chief Product and AI Officer · Atlassian

No more meeting notes

Tamar Yehoshua says PMs no longer have to be the person taking notes in meetings because tools can do that now.

Rachel Wolan

Advisor & Investor · Various

Prototypes required for meetings

Rachel Wolan says she told people they couldn't get into a meeting with her without a prototype, describing prototypes as a communication tool.

Ben Celebicic

Chief Product and Technology Officer (CPTO) · Hinge

Prototype without engineering

Ben Celebicic says AI lets him prototype an idea without engineering support and put it in users' hands, speeding his feedback loop on whether it's worth building.

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Jonathan Evens

Product Lead · Google Deepmind

Prompt-based iteration

Jonathan Evens says the shift is from traditional ML engineering like hyperparameter tuning to prompt-based iteration, since much can now be done by prompting and building eval sets.

Ryan Bergstrom

Chief Product Officer · Paychex

AI-generated requirements

Ryan Bergstrom says AI now generates requirements and stories, one of the processes his teams have brought AI into, and says the acceleration makes people significantly more productive.

The answer starts at 18:39.

Tara Seshan

Member of Product Staff · Openai

Rapid empirical testing

Tara Seshan says the shift is to rapid empirical testing: rather than writing long reasoning docs, she aims to get something to try with users as fast as possible, since being prolific and empirical matters more than being academic or theoretical.

Sachin Rekhi

Course Creator · Reforge

Automated competitor pricing reports

Sachin Rekhi says he built a skill that runs weekly to monitor competitors' pricing and report changes, saving him the work of tracking it manually, which he says supports their low-cost provider approach.

Joe Fernandes

VP and GM, Red Hat AI Business Unit · Red Hat

Developers as AI/agent engineers

Joe Fernandes says his developers are now agent developers or AI engineers, because agents are the next evolution of enterprise applications, so platform teams must support them.

Srinivasan Raghavan

Chief Product Officer · Freshworks

Biweekly release cycles

Srinivasan Raghavan says his team now releases things every 2 weeks, especially AI products, instead of past big-bang releases, because the whole cycle takes only 1 or 2 weeks.

Ravi Mehta

Angel Investor · Traveljoy

Building in hours

Ravi Mehta says their new collaborative model lets them build in hours, because certain formerly slow parts like writing code and shipping software now move at AI speed.

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Todd Olson

CEO / Founder · Pendo.Io

Faster pace

Todd Olson says one of the biggest changes he's seeing is that people are moving a lot faster, though he notes faster doesn't always translate to outcomes.

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Faith Forster

Chief Maker · Discoveree For Product Leaders & Managers

Instant updates, no backlog

Faith Forster says that with her own product she has made an update while watching users and asked them to refresh, so the change appears immediately rather than going through a brief and possibly sitting in a backlog for months.