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Rahul Agarwal
Founder | Agentic AI... • 7h
Single AI agents are useful. Until you need them to work together. Most AI today is reactive. Stateless. One prompt. One response. Forget it all. That’s fine for solo tasks. But collaboration? It’s never that simple. Real teamwork is messy. Parallel. Social. Evolving across threads. Enter the next evolution: AI designed for teams. Not another chatbot. A layer where humans and multiple AI agents coexist seamlessly in the same conversation. Here’s how it’s different: Multi-Agent Collaboration Several agents work at once, not just one per thread. Picture a product team: • One monitors user feedback • Another prioritizes sprints • Another drafts release notes All connected. All updating live. Orchestration, not automation. Persistent Memory No more cold starts. Knowledge carries across sessions, threads, and time. No repeated explanations. No lost context. Proactive, Long-Horizon Agents These agents don’t wait for prompts. They detect intent. Suggest next steps. Summarize discussions. They participate, instead of just reacting. Context With Boundaries Intelligence is shared where it matters. Privacy is preserved where it counts. The future of AI is not about a single agent, it’s about intelligent teams.
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