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A vibe coded prototype is nice, but it doesn't let you gather feedback or collaborate. With Miro Prototypes [4], you can validate concepts with your entire team in <1 day:
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A vibe coded prototype is nice, but it doesn't let you gather feedback or collaborate. With Miro Prototypes [4], you can validate concepts with your entire team in <1 day:
AI makes prototyping easy, but it exposes deeper product questions. Real progress comes from deciding what matters and what to build next.
AI removes handoffs between roles, reshaping orgs into small, autonomous teams. The advantage now is how fast companies learn and adapt their structure.
AI makes building easy, so strategy and focus matter most. Winning comes from choosing what to build and protecting deep work.
AI boosts output, but human judgment declines with cognitive fatigue. The real skill is managing focus and stopping before your decisions degrade.
AI-native companies scale faster by deploying products quickly, using technical GTM teams, and focusing on AI-driven metrics. They rely on lean, high-agency teams that use AI to automate growth and accelerate experimentation.
Good agent skills need clear triggers, concise instructions, and strong testing. Focus on outcomes, not rigid steps, and refine or retire skills as models improve.
People enjoy sharing ideas for validation, not building them into reality. AI now provides that validation, but execution still matters far more than the idea itself.
Building custom AI tools is easy, but maintaining them becomes overwhelming. The real challenge is choosing simple, sustainable solutions instead of building everything yourself.
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Try Softr – build portals & internal business tools that just work.
AI makes building easy, so the hard part is deciding what to build.
AI makes it easy to build many features, but hard to keep products focused.