Double Click: You Can Just Do Things—But Should You Always? | Figma Blog

AI tools are creating a renewed sense of possibility, making it easier for people—even nontechnical users—to build, write, design, and research. Figma’s article celebrates the excitement behind the “you can just do things” mantra while questioning whether constant creation may also become exhausting. Its central tension is whether AI is ushering in a creative golden age or overwhelming people with too many possibilities.

The “You Can Just Do Things” Mantra

• The phrase has become a tech-world rallying cry alongside:
  • “Move fast and break things”
  • “Don’t ask for permission”
  • “It’s time to build”
  • “Founder mode”
  • “Fuck around and find out”
• AI-powered tools make the idea feel more attainable than ever by lowering the barriers to execution.
• Writing assistants, design generators, and research platforms allow more people to create without specialized technical skills.
• The article connects this mindset to earlier advocates such as Steve Jobs and contemporary online creators.

The Thrill of Discovery

• The current AI boom is compared to the early 2010s, when discovering apps such as Instagram and Uber felt especially exciting after the App Store’s emergence.
• Michael Mignano of Lightspeed Venture Partners observes that people are once again hearing about impressive new products every day.
• Crucially, these recommendations increasingly come from ordinary friends—not only people working in technology.
• This suggests AI products are becoming broadly accessible and relevant beyond the traditional tech community.

Possibility Versus Overload

• The proliferation of AI tools creates a powerful sense that almost anything can be attempted.
• At the same time, the sheer number of available tools and projects may become mentally exhausting.
• The article asks whether high agency and constant experimentation empower people or pressure them to stay perpetually productive.
• It frames the issue as a balance: embracing AI’s creative potential without feeling obligated to act on every possible idea.

People should take advantage of AI’s expanded creative possibilities while resisting the expectation to “do everything.” The most sustainable approach is selective experimentation—use tools that meaningfully support a goal rather than treating constant activity as the goal itself.