Practical tips: prompt libraries and context

I sit down with Anuj Jain, a seasoned product leader who’s been building AI products long before the current hype cycle and is now shaping how enterprise AI agents work in the real world.

Anuj is the Head of Product at Nurix.ai, where he leads the development of advanced conversational and voice AI agents used by enterprises across customer support, sales, and internal operations. His background spans AI platforms, growth systems, and large scale enterprise tools, with early work leading AI product teams at Sprinklr during the first major deep learning wave.

In this conversation, we go beyond demos and buzzwords. Anuj shares how AI is being adopted inside enterprises today, why context engineering matters more than the model itself, and why AI is not a silver bullet but a system that must be trained, trusted, and evolved over time. 

He also offers a fascinating look at how India’s tech culture is adapting to AI at scale, and how he personally uses a voice agent during his daily commute to think better, prepare for hard conversations, and challenge his own ideas.

🔥 Topics We Cover:

• What it really takes to ship enterprise AI agents into production
• Why context engineering is critical for reliable AI systems
• How AI is reshaping the workforce in India and globally
• Why AI should be treated like a new hire, not a magic fix
• How voice agents can be used for thinking, decision making, and leadership
• The future of enterprise AI, agentic workflows, and internal operations

Tools & Concepts Mentioned in This Episode:

AI & Product Platforms-
 ChatGPT
 Claude Code
 Vercel

Enterprise AI & Agents-
 Nurix.ai
 Sprinklr

Productivity & Workflow Tools-
 Granola
 Cluely
 Expensify

Connect with Anuj:
LinkedIn: https://www.linkedin.com/in/anujjain23/
Company: https://nurix.ai

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