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Product teams are drowning in AI subscriptions: one tool for search, another for meeting notes, a third for research. None of them understand your company's context, and switching between them kills productivity.
AI's full potential won't be unlocked in a text box - it needs context, mobility, and seamless integration into daily life. Hardware, if purpose-driven and socially acceptable, may be the key to making that leap.
AI prototyping tools like Lovable are transforming product discovery by enabling teams to quickly test ideas, visualize solutions, and align stakeholders - without sacrificing speed, clarity, or collaboration.
Chatbots risk creating dependence and distorting reality. We must set limits before the harm outweighs the benefit.
Build alignment through clear communication, defined roles, and collaborative prioritization. Focus on relationships, not requests, and shift from pleasing to impactful decision-making.
Most teams misunderstand product strategy - it's not your mission, goals, or roadmap, but the real choices driving behavior. By reverse-engineering what your team actually does, you uncover your true strategy and gain the clarity needed to align decisions, spot opportunities, and win.
OKRs fail when companies add side priorities. Treat OKRs as the single source of focus and update them instead of working around them.
Growth happens through discomfort - physically, mentally, and creatively - by pushing beyond comfort zones with consistency. Intentional challenge builds strength, cognitive resilience, and unlocks change we can't foresee at the start.
AI lets anyone build fast, but real professionalism means learning deeply and building responsibly.
Scale-ups need to evolve beyond chaotic growth by linking product strategy to business goals, while enterprises must dismantle legacy systems and funding models to enable real product agility.
“Wrappers” aren't inherently bad - it's only a problem if they're easily replaceable.