Post by Anupriya Kasumnal
Product Manager | AI, Platform, & Ecosystems | Mobile, Enterprise SaaS, & Regulated Products | Building Solutions used by Millions
Over the past few weeks, Iโve been actively using AI agents from ๐๐ ๐๐ง๐ญ.๐๐ข in my day-to-day work as a Product Manager, and the impact has been real. We talk a lot about โ๐๐ ๐๐ง๐ญ๐ข๐ ๐๐,โ but actually integrating agents into real workflows is a different experience altogether. Here are three Iโve been relying on: ๐น ๐๐๐๐ญ๐ข๐ง๐ ๐๐ซ๐๐ฉ ๐๐ ๐๐ง๐ญ (https://lnkd.in/grD8_gY2) This agent pulls together meeting context, stakeholder background, previous notes, and relevant artifacts into a crisp pre-read. As a PM, this helps me: โก๏ธ Walk into stakeholder syncs prepared โก๏ธ Recall past decisions quickly โก๏ธ Keep discussions aligned to roadmap priorities ๐น ๐๐จ๐ฆ๐ฉ๐๐ญ๐ข๐ญ๐ข๐ฏ๐ ๐๐ซ๐ข๐๐ ๐๐ ๐๐ง๐ญ (https://lnkd.in/gAE86TZK) This agent monitors competitor activity and synthesizes updates into structured insights. This helps me: โก๏ธ Bring a sharper market context into planning โก๏ธ Validate roadmap bets โก๏ธ Strengthen leadership conversations ๐น ๐๐๐ & ๐๐ฉ๐ข๐ ๐๐๐ง๐๐ซ๐๐ญ๐จ๐ซ ๐๐ ๐๐ง๐ญ (https://lnkd.in/gzG9GYd3) This one helps turn early ideas into structured product documentation, from user personas to epics. For me, this means: โก๏ธ Faster PRD drafts โก๏ธ Clearer discovery thinking โก๏ธ Better alignment with engineering What excites me most is that this technology is still very new and thereโs plenty of room for improvement. โ ๐๐ฎ๐ญ ๐ฐ๐๐ข๐ญ๐ข๐ง๐ ๐๐จ๐ซ ๐ข๐ญ ๐ญ๐จ ๐๐ ๐ฉ๐๐ซ๐๐๐๐ญ ๐ข๐ฌ๐งโ๐ญ ๐ญ๐ก๐ ๐ฆ๐จ๐ฏ๐. โ ๐๐ญ๐๐ซ๐ญ๐ข๐ง๐ ๐ข๐ฌ. โ ๐๐ฑ๐ฉ๐๐ซ๐ข๐ฆ๐๐ง๐ญ๐ข๐ง๐ . ๐๐๐๐ซ๐ง๐ข๐ง๐ . ๐๐ง๐ญ๐๐ ๐ซ๐๐ญ๐ข๐ง๐ . ๐๐ญ๐๐ซ๐๐ญ๐ข๐ง๐ . As a PM, I see this as the next layer of leverage, not just using AI to generate answers, but designing systems that work alongside us. Grateful to be learning by doing and excited about where agentic AI is headed. #AI #AIAgents #ProductManagement #AgenticAI #ContinuousLearning