In this video, Anthropic's Head of Product Ami Vora shares seven key lessons about product development that may run counter to intuition. She discusses how fast execution matters more than perfect strategy, how to build simple products, how to get honest feedback from AI, and more. She also covers how to raise children in the AI era and the importance of teaching resilience.

1. Living with AI: Time Savings and Everyday Joy

Ami Vora describes how AI has brought time savings and joy to her life. Particularly impressive is how she uses AI with her children. When her daughter wants specific drawings like "half mermaid, half unicorn," she uses AI image generators to bring her children's imagination to life.

"One of my kids loves to draw, and she wants specific drawings. So if she wants 'half mermaid, half unicorn,' I can say 'well, I can make that for you. I can generate that.'"

Ami also shares that as an introvert, she finds meeting new people challenging. AI helps by allowing her to quickly research the person before a meeting, finding out what topics they might be interested in, which gives her a sense of psychological comfort.

"I quickly ask AI what I should know about the people I'm meeting. What do you know about this person, what topics might they be interested in? It makes me feel like I already know them, so I'm calmer before the meeting starts."

Ami uses AI not merely as a work tool, but as something that reduces everyday stress and adds joy, humorously expressing her philosophy that laziness is just another word for efficiency.

"I love being lazy. Laziness is just another word for efficiency."

2. Getting Honest Feedback from AI: A Brutal Self-Reflection

Ami shares her experience receiving brutally honest feedback from GPT, showing that AI is no mere flatterer. Using a prompt shared by Peter that asked AI to give her the hardest feedback as an advisor and investor, the AI told her she was "wasting her life." It said she was "dabbling (being a dilettante) without truly building anything" and that "now is the time to pick one goal and go all in."

"GPT was basically like 'you're wasting your time. You're a dilettante. You're not building anything. You're not working hard. Now is the time to pick one thing and go all in.'"

Though initially shocked, over time she realized the importance of interpreting AI's feedback within the context of her own life. Taking a break, spending time with family, and learning new things were meaningful experiences for her. This demonstrates the wisdom of critically receiving AI's advice and reinterpreting it from a human perspective. Peter also received feedback from AI about having a "scarcity mindset," which prompted him to reflect on his behavior patterns. While AI feedback can sometimes be uncomfortable, it can serve as a valuable opportunity to view yourself objectively.

3. Why Simplicity Is a Competitive Advantage: Building for "The Most Tired Person"

Ami emphasizes that simplicity is a powerful competitive advantage and shares practical advice for achieving it. The key starts with the question: "Who are we building for and what are we building?" She operates under the fundamental assumption that everyone in the world is more tired than you think, and no one wants to spend time learning something new.

"I think everybody in the world is more tired than you think. Everybody is exhausted and trying to make things work. Nobody wants to learn a new thing."

Drawing on her WhatsApp experience, she explains the philosophy that building a product everyone in the world can easily use ultimately makes a better product for everyone. Users want "relief" -- the feeling that everything just works -- rather than complex features.

"What people want is relief. It's like wanting a sanctuary where everything works for them. Where they don't have to put in extra effort."

Tactical methods for making products simple include:

• Risk analysis: Evaluate the negative impact of excluding certain features from the list.
• Sequencing: Don't try to build everything at once -- complete core features first, then move to the next phase.
• Prioritization: A portfolio approach where 80% of time goes to simplifying core features and 20% to other features.

Ami also emphasizes that during product reviews, asking the fundamental question "Who exactly is this product for, and what does it help with?" is crucial. Clarity must precede simplicity -- only with clarity can you pursue the right kind of simplicity. Since team members may have different ideas, this question aligns everyone toward the same goal.

4. Communicating with Leaders: Clear Information Delivery for the "Dinosaur Brain"

Ami discusses effective communication with senior leaders using the "dinosaur brain" metaphor. Senior leaders see many things broadly but have limited time and capacity to dive deep into specifics -- like having a tiny dinosaur brain that can only hold 3-4 things at any given moment.

"I imagine that I have this little tiny dinosaur brain, and it can only hold 3-4 things at any moment."

Therefore, the team's role is to summarize information into easily digestible patterns, frameworks, and context for leaders. Leaders can then provide insights based on their past experience and broad perspective. What matters is going beyond simply relaying information to presenting the team's own analysis and recommendation. Since the team has the deepest understanding of the information, their opinion is most valuable.

"The highest service you can do is to give your opinion as the person who went out and got all the information."

This approach not only saves leaders' time but also helps team members grow into experts through deep analysis and participate proactively in decision-making.

5. Execution Eats Strategy for Breakfast: Becoming a "Learning Machine"

Ami emphasizes the lesson she learned at Meta: "Execution eats strategy for breakfast." Having a perfect strategy with poor execution not only prevents success but makes it impossible to even identify why you failed. Conversely, with a decent strategy executed brilliantly, the lessons learned from execution allow you to continually refine the strategy.

"If you have a perfect strategy but poor execution, you can't win. What's worse is you won't even know why you lost."

Benefits of an execution-first approach:

• Daily opportunities: Instead of investing years in strategy for a single shot, execution provides daily opportunities to ship, learn, and improve.
• Fast learning: Ship small things, learn daily, incorporate feedback, and repeat.
• Freedom: Liberation from the pressure of having to be perfect, allowing free experimentation.

Ami advocates for a "Minimum Viable Strategy." The world changes too fast -- events like the iPhone launch in 2006 or the pandemic in 2019 rendered existing strategies obsolete. Instead of attempting perfect multi-year strategies, focus on fundamental questions: "Who are our customers? What are we building for them? Why are we likely to win? What are the risks?" and adjust the compass direction as the world changes.

"Who are our customers? What are we building for them? Why do we think we'll win? What are the risks? These basics, some general direction, and the ability to adjust the compass as we get more information and the world changes -- that's what matters."

6. Shortening Unnecessary Planning Processes and Expanding PM Decision Authority

Ami criticizes the tendency at many companies to waste excessive time on annual or quarterly planning, and presents methods for minimizing this while increasing actual impact. The key is asking "What do we expect this planning process to change?" to reduce unnecessary repetitive work.

"If we spend six weeks on this, what do we think will change? What do we think isn't working today? What do we think we're missing?"

Planning should be kept as lightweight as possible, focused on core objectives and metrics. Specific execution plans should focus on short-term ideas, with next phases planned as more information accumulates.

To solve the problem of PMs being slowed by approval processes, Ami offers these tips:

• Pre-agree on operating procedures: Agree upfront on which decisions need approval and which PMs can make independently. For example: "Changes affecting less than X% of the user base can be trialed by PMs for one week, with rollback if problems occur."
• Raise issues and propose alternatives: If decision-making takes too long, clearly communicate the delay it causes and suggest simple solutions like "Instead of regular reviews, hold daily office hours from 1-2 PM for real-time decision-making."
• Customer-centric thinking: Remind everyone that all internal processes ultimately serve the goal of delivering faster and better products to customers. Customers don't care about internal strategy documents or reviews -- they only care about the product in their hands.

"Customers only care about the product in their hands. So everything should be built around getting things into people's hands faster and better."

7. Making Time for Deep Work, the Future PM Role, and Raising Children in the AI Era

7.1. Time Management for Deep Work: The Courage to Say "No"

Ami emphasizes that as a PM, securing time to engage with customers is crucial. Activities like reading customer support tickets for an hour each week, conducting user interviews, or checking Reddit reviews are necessary. These external activities may not seem as urgent as internal meetings, but they deliver the highest ROI.

"Spending an hour a week reading customer support tickets, watching Hotjar recordings, reading Reddit reviews -- whatever it is -- seems like a completely reasonable investment. But when you try to do it, you think 'but there are so many people to talk to, urgent internal meetings, team discussions, emails to answer.'"

Tips for protecting personal time:

• Set 1-2 key goals to say "yes" to: Identify 1-2 must-achieve goals for the week and block time on the calendar for them.
• Explain when declining: Instead of just saying "no" to meeting invitations, explain: "I need to focus on X right now and can't attend this meeting. Can we discuss later?" People tend to be less emotional and more understanding when given a reason.
• Monday morning routine: Each Monday, list what needs to be done for the week and block time on the calendar. Other unnecessary items naturally get pushed out or eliminated.

"Every Monday, I write down what I need to do this week and block when I'll do it on the calendar. Then a lot of other things naturally get pushed out. 'Is this more important?' No. So I don't do those things."

Ami notes the importance of being aware of energy limits, particularly as a parent -- doing deep work early in the morning, saving energy in the afternoon for time with children, and managing time according to her own productivity rhythms.

7.2. The Future PM Role: A "Jack-of-All-Trades" Utility Player

Ami predicts the future PM role will return to a "jack-of-all-trades" utility player similar to 15 years ago. While functional specialization between engineering, design, and PM deepened over the years, those boundaries are now dissolving.

"I have an idea. I'll make a prototype. I'll do a quick market analysis. I'll model out what go-to-market would look like. And I have tools to do all of that. So just go."

In the future, the value of "doers" who can rapidly move from idea to prototype, market analysis, and launch plan will grow. As team sizes shrink and management needs decrease, the role of individual contributors (ICs) will become more important. Since existing playbooks no longer work in this new world, people who think from first principles and are willing to learn new things will succeed.

"Every 3-6 months, it's a completely new world. So you need experience, but you also need to be willing to think from first principles about how everything works in the current situation."

7.3. Raising Children in the AI Era: Resilience and Human Values

Ami shares her concerns about raising 6-year-old and 4-year-old children in the AI era. She worries that when AI makes everything too easy, children may lose opportunities to develop resilience.

"What I worry about is that my kids won't get the opportunity to have resilience because everything is too easy. The agents are too nice."

She therefore tries to continually expose her children to real-world challenging situations -- walking somewhere alone, approaching a stranger to make friends -- emphasizing human interaction and learning to solve problems independently. Helping children grow into "human kids" even in the AI era is what matters.

Ami also tries not to be too hard on herself as a parent. In an unpredictable era, there is no perfect parenting method. Children will face their own problems, and parents cannot control them 100%. Teaching curiosity and resilience, and encouraging children to follow their passions, is the best a parent can do.

"We can't optimize for being 100% right about what our kids should do in this very unpredictable time. We have to wait and see how it plays out."

Conclusion

The conversation with Ami Vora provided deep insight into how to navigate the rapidly changing AI era as both a product developer and a human being. The importance of execution, the beauty of simplicity, clear communication, and a flexible attitude toward an unpredictable future serve as examples for all of us. Receiving AI's help while not losing human values and resilience, and maintaining a posture of continuous learning and adaptation, are essential virtues for living in this era.