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In this episode of the AI Agents Podcast, host Demetri Panici sits down with Tina Kung, Co-Founder and CTO of Nue (nue.io), to discuss why preventing AI hallucinations becomes critical when AI moves beyond insights and starts executing real financial transactions.

Tina explains how transactional intelligence is changing how companies manage revenue, why data accuracy is essential for AI systems operating in finance, and how AI agents can move from summarization to actually taking action — generating quotes, creating invoices, and executing complex revenue workflows automatically.

They also dive into evolving AI-native revenue models, how modern AI companies structure pricing, how engineering teams are already transforming their workflows with AI agents, and what the future of AI-driven operations looks like across sales, finance, and product teams.

If you're interested in AI agents that don’t just analyze data but actually act on it — this episode is worth watching.

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⏰ TIMESTAMPS:

00:00 — Preventing AI hallucinations in financial transactions
00:54 — Introducing Tina Kung and Nue (nue.io)
03:02 — Transactional intelligence vs traditional AI insights
07:03 — AI that takes action: quotes, invoices, and automation
09:13 — AI companies and hybrid revenue models
16:27 — New pricing models emerging in the AI era
23:02 — Building practical AI without hallucinations
29:13 — How AI is changing engineering teams
33:03 — Hiring shifts in the AI-first world
36:47 — Tina’s personal AI productivity stack

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