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In this episode, we sit down with the founder and CEO of Sift AI to unpack a problem most founders don’t even realize they have: they’re solving the wrong problems.

From customer discovery and validation to the rise of “vibe founding,” we explore why asking for help with fundraising might actually mean you’re not ready yet—and how AI is both helping and hurting founders in that process.

We also dive into how tools like ChatGPT fall short when it comes to iteration, context, and real business building—and what a more structured, founder-first AI platform could look like.

If you're building (or thinking about building) something, this episode will challenge how you think about strategy, validation, and using AI the right way.

⏰ TIMESTAMPS:
00:00 – Most founders don’t know what they need help with
00:23 – The real reason you’re struggling with fundraising
01:34 – From startups to AI: the founder’s journey
03:09 – Why founders still lack real support
05:22 – The problem with ChatGPT for building businesses
07:16 – Founders don’t know what to ask AI
09:04 – ChatGPT’s bias and “people pleasing” issue
10:01 – The rise of “vibe founding”
14:14 – What “structure as a service” actually means
26:40 – The future of solopreneurs and job security

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In this episode of the AI Agents Podcast, host Demetri Panici sits down with James Luan from Zilliz to talk about how AI is already changing the day to day work of engineers. James explains why coding agents are already taking over parts of his workflow, how vector databases became a core building block for modern AI systems, and why retrieval still matters even in a world obsessed with bigger models.

They also get into the real mechanics behind RAG, hallucinations, MCP, long term memory for agents, and the challenges of building production grade AI systems that can search, reason, and scale reliably. If you want a practical conversation about where agent infrastructure is going and what engineers should actually pay attention to, this episode is worth watching.

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⏰ TIMESTAMPS:
00:00 – AI is already taking parts of engineering work
01:03 – James Luan’s background and first AI moments
07:07 – Why Zilliz was built and how vector databases fit in
16:58 – Long term memory, agent search, and reasoning workflows
21:37 – MCP, tooling limits, and real world production issues
31:02 – Are coding agents already replacing parts of engineering?
35:52 – AI for travel planning, presentations, and parallel work
38:57 – NotebookLM, Gamma, and James’s favorite AI tools
39:45 – Where to find James and Zilliz

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In this episode of the AI Agents Podcast, host Demetri Panici sits down with Dror Asaf, co-founder and CTO of Coval, to talk about what it actually takes to bring agentic AI into enterprise operations. They get into why supply chain and operations are still surprisingly archaic, why trust and security are some of the biggest blockers to adoption, and how enterprise teams can use AI to remove bottlenecks without removing human decision-making.

Dror also shares how Coval is approaching enterprise AI differently, from on-prem deployments and Microsoft Teams integrations to strong governance and compliance layers. They also dig into the future of jobs, why AI will likely reshape work more than eliminate it, and why the people who know how to leverage these tools will have a massive advantage going forward.

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⏰ TIMESTAMPS:
00:00 – AI, jobs, and why new skill sets will matter most
01:03 – Dror Asaf’s background and why he started Coval
03:42 – Raising pre-seed funding and finding the right VC partner
08:31 – Key milestones: first deployment, first failures, and building the team
11:05 – How Coval uses agents in enterprise operations and supply chain
14:04 – What Dror learned about agent reliability, governance, and hallucinations
23:58 – Coval’s edge: security, on-prem deployment, and Microsoft Teams
27:56 – The long-term vision for enterprise AI adoption
33:16 – Will AI replace jobs or transform them?
38:33 – Dror’s favorite AI tools: Claude Code, Co-work, and more

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