... from a feature (prompt optimization) to a layer (memory infrastructure across tools) feels like the right abstraction level, especially in the current AI stack where fragmentation is the real problem. How are you deciding which feedback to act on vs ignore now that you re getting signals from very different user segments (PH early adopters vs

... agents are most valuable when they have context and the ability to act. But connecting Slack, Salesforce, Jira, Notion, and Gmail to every AI you use? That can get complex fast and become a security nightmare. With Venn, we aim to fix that.  Venn

... product and immediately hit a foundational question: what does an "active user" actually look like here? Answering that meant wading through @Slack and @Notion , then turning it all into testable hypotheses. Fast. With @Claude by Anthropic and @Venn AI , I got better research than I would have found on my own. It surfaced docs I hadn't seen yet, synthesized the most relevant data points, and drew on growth frameworks from Reforge and Elena Verna to help formulate the definition ... ... risk I watch for: over-building. When prototyping is fast and cheap, the temptation is to build too many things. You still need the discipline to ship one thing well. Comment from Jammie Peng(@jammiepeng): @ceciliatran  exactly! With Venn