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Spill the tea - we want to hear from you!

What if you could stress‑test a policy pitch with a faithful simulation of the minister you’re meeting tomorrow? We sit down with Leon Emirali—startup founder turned Westminster aide—who’s now building Nostrada AI, a platform that creates high‑fidelity digital twins of politicians trained only on their own public words. From late‑night Brexit votes to the first days of COVID, Leon’s time inside government shapes a clear-eyed view of how information moves, where decisions bottleneck, and why faster, more grounded research can improve the conversation between industry and state.
We dig into the mechanics: how per‑politician models reduce cross‑bias, why provenance and citations matter, and where to draw bright lines between public records and private data. We also probe the big question lighting up headlines—AI “ministers” and democratic legitimacy. Lebanon and Albania are experimenting; should the UK or US follow? Leon argues for AI as a tool, not a ruler, and lays out practical guardrails that keep expertise accessible while preventing false authority and misuse.
Beyond politics, we explore open data as a strategic asset for smarter public services—think anonymized NHS patterns, transport peaks, and service planning informed by real signals. And for builders, Leon shares hard-won advice: say yes, ship sooner than feels safe, and let feedback compound. If you care about policy, lobbying, AI ethics, or the future of democratic engagement, this conversation offers concrete insights, skeptical optimism, and a working blueprint for responsible adoption.
If this sparked ideas, follow the show, share with a friend who loves tech and policy, and leave a quick review so more curious people can find us.

Links:

https://www.leonemirali.com/

https://www.nostrada.ai/

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Chapters

1. Opening, Season CTA, Guest Teaser (00:00:00)

2. Leon’s Career: Startups to Westminster (00:01:28)

3. Inside Brexit and COVID-Era Government (00:05:22)

4. The Spark Behind Nostrada AI (00:10:16)

5. Global AI Ministers and Democracy (00:14:10)

6. Bias, Training Data, and Digital Twins (00:18:20)

7. Ethics, Access, and Enterprise Use (00:22:20)

61 episodes