Sponsored
OUT WHY
Token-based? Credit bundles? Flat rate with usage caps? Ask 5 AI companies how they price and you'll get 6 answers.
Parse notes
Sponsored
Token-based? Credit bundles? Flat rate with usage caps? Ask 5 AI companies how they price and you'll get 6 answers.
AI adoption looks fast but remains shallow, with most companies far from real impact. The real opportunity is internal use and adapting how teams work.
AI understands code, not product taste. To get better outputs, you must explicitly give it your design context.
Hire beyond your expertise by judging how candidates think, not what they know. The right person teaches you, offers specific ideas, and elevates the whole company.
Start with content, not code, to avoid bloated, confusing products. Clear thinking about what users need leads to better design than rushing into features.
Positioning defines why customers pick you now and must reflect real value. It's a hypothesis tested through sales, not just messaging.
AI should automate coordination, not ownership or execution. Removing middle-layer friction helps teams move faster and understand their work better.
Leadership in the AI era is about setting vision, maintaining quality, and managing bets, not directing work. Great leaders use the tools, filter noise, and make bold decisions under uncertainty.
Software has been divided into deep engineering and “bizware” that powers business infrastructure. AI thrives in the repetitive, system-building layer, not frontier innovation.
AI can generate ideas, but you still need to form and test your own opinions.
Execution runs on hidden maps like expertise and trust, not just org charts.