How the channel uses _Status-seeking work_ In the conversation with Sarah Tavel (Benchmark, ex-Pinterest), status-seeking work names the mechanics that turn a product into a multiplayer, network-effect experience. Most multiplayer social products have a north star in which participants try to achieve status in the network — followers, views, likes — and those visible markers create incentives for participants to do what the product wants them to do [^01a0f15a-e186-7add-b1f8-042de716bec5@453]. Why it matters for AI products - Today's AI products are largely solo, single-player experiences; the missing layer is a multiplayer network-effect experience, and status-seeking is the engine that would power it [^01a0f15a-e186-7add-b1f8-042de716bec5@453].- Some early status-seeking already exists in Character.AI offshoots — users create a character and others play with it — but it is described as very early [^01a0f15a-e186-7add-b1f8-042de716bec5@453].- Custom GPTs in ChatGPT and Gemini are held up as the counter-example: capable teams, but not social — there is no ability to follow creators and no visibility into underlying prompts or documents, so no trust or status can accrue to anyone [^01a0f15a-e186-7add-b1f8-042de716bec5@453].- The proposed fix is a UGC community of power users: prompt creators people would follow and easily apply to their own profile, so users stop reinventing the wheel and start exploring what others have built [^01a0f15a-e186-7add-b1f8-042de716bec5@453]. The design lesson When exploring AI product ideas, ask what visible, accumulating markers of standing a participant can earn in the network — followers, views, likes — and whether those markers create incentives for the behavior the product needs. Without them, the product stays single-player no matter how capable the underlying model is. - Status-seeking work = product mechanics that let participants achieve visible status in a network (followers, views, likes) [^01a0f15a-e186-7add-b1f8-042de716bec5@453].- Those status incentives drive the behaviors that make multiplayer, network-effect products work [^01a0f15a-e186-7add-b1f8-042de716bec5@453].- Most AI products today lack any social layer; Character.AI offshoots show the earliest glimmers of it [^01a0f15a-e186-7add-b1f8-042de716bec5@453].- Follow, trust, and status are the three ingredients custom GPTs would need to become social [^01a0f15a-e186-7add-b1f8-042de716bec5@453].