Saved by sari and
The Looking Glass: Prioritize until it hurts
1.
What parts of our system (or process) are truly “core and adopted”—and which are still experimental or unproven?
Clarifies where to enforce strict scaling, standards, and review versus where to optimize for learning and speed.
2.
Where have we drawn explicit, non-negotiable principles or “golden lines”—and do all team members know never to cross... See more
What parts of our system (or process) are truly “core and adopted”—and which are still experimental or unproven?
Clarifies where to enforce strict scaling, standards, and review versus where to optimize for learning and speed.
2.
Where have we drawn explicit, non-negotiable principles or “golden lines”—and do all team members know never to cross... See more
Perplexity AI: Ask Anything
Principles for AI Product Development
- Think Simply: Make something that makes sense and provides clear value. Users need to know what to expect from your AI experience
- Think Contextually: Can you make the experience more relevant for people using available context? Customize experiences within the user's workflow
- Think Big: AI can do a lot, so start
Luke Wroblewski • LukeW | Writings on Digital Product Strategy & Design
The critical question isn’t how to differentiate between activities that matter and those that don’t, but what to do when far too many things feel at least somewhat important, and therefore arguably qualify as big rocks. Fortunately, a handful of wiser minds have addressed exactly this dilemma, and their counsel coalesces around three main... See more