A simple project-brief structure can make workplace AI outputs clearer, safer and easier to review. You open an AI tool between meetings and type something like, “Summarise this,” “Write a project plan,” or “Help me improve this process.” The answer arrives quickly. It sounds polished. It may even be useful. But it is also a bit too broad, a bit too confident, and not quite grounded in the messy reality of your workplace. That is where many people get stuck. They treat AI like a search box or a very enthusiastic assistant, then feel disappointed when the output is generic. The better approach is simpler: use AI like you would brief a project team member. A good project brief explains the goal, context, constraints, source material and expected output. The same habit works well with AI. You do not need technical language. You need a clear working brief. Why This Matters AI is already moving into everyday knowledge work: meeting notes, project updates, service improvement...
This post originally appeared in Inc. Buzzing about which new startups will prosper and which will flop is a favorite pastime in Silicon Valley. But a new company's prospects aren't based on just what the company creates, says Stanford professor Lindred Greer . They're also based on the people creating it and, more important, how they treat one another. "Startup success is as much about managing the people as it is about creating the product," says Greer, an organizational behavior professor at Stanford Graduate School of Business. Based on her research on entrepreneurship and team dynamics, Greer will teach a new course at Stanford GSB this spring focusing on the unique team-dynamic challenges faced by early-stage startups. In a recent interview, she offered tips for managing startup teams. Be Aware of Culture in Early Stage Startups The culture of early stage startups forms the backbone of the culture the company will have in later years. Therefor...