The first version of Prepse did something reasonable. It connected to your call recordings, pulled out the data, and filled in your CRM @theodorexli's customers told him it was a nice add-on. He could have explained why they were wrong. He chose to find out why they were right So he looked closer, and what the most interested customers actually wanted was underneath it They didn't just want cleaner data They wanted to use it to improve how their teams sold, to make their median reps perform like their top ones. The data was the input. The training was the point. He then worked with hundreds of enablement managers to learn what the best teams do differently, and built Prepse around the answer: Reps run simulations of real buyer conversations before they have them for real The real product was hiding one question deeper than the one he set out to answer The useful question about ai in sales isn't what it can replace. It's what it can't. It can't decide how your company should handle a pricing objection, or what a good discovery call sounds like in your market That judgment lives in a handful of your best people, and it's the scarce thing He built Prepse on that premise Instead of automating the seller, it takes the judgment your best people already have and turns it into something every rep can practice against. Your playbook, your objections, your definition of good, run as simulations a rep can repeat until the real call feels like the fourth take The leaders set the bar. The software makes sure everyone can reach it. 🎙️ Teddy Li (@theodorexli), Co-Founder, Prepse on Fondo START pod ‍‍ Huge thanks to @rhobusiness for making this episode possible!

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she raised her kid the right way

June 27th, 1pm starting at the Vancouver Art Gallery! First poster design! Please share and spread the word!!!! Tell the government we do not want ai data centres in Vancouver! #protest #noaivancouver #vancouver #support #noaicanada

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The traditional institutional research desk is facing an immediate structural obsolescence. Across elite family offices and private equity syndicates, rows of human financial analysts are being systematically replaced by custom-built, deep-tier Agentic AI pipelines. Operating silently in the background, these advanced algorithmic networks execute complex macroeconomic data processing, cross-border valuation modeling, and automated risk analysis at millisecond speeds. By utilizing autonomous node-based pipelines, sovereign funds can monitor global market anomalies, track regulatory updates, and identify off-market acquisition targets across multiple jurisdictions simultaneously. This technological insulation removes human bias and operational latency from high-stakes decision-making. The role of the family office director has fundamentally transitioned from managing teams of analysts to directing agentic workflows that synthesize raw global data into execution-ready intelligence. For multi-billion-dollar portfolios, scaling technical architecture is the new benchmark for maintaining market alpha. 🔗 Read the full story at the link in bio. #AnaxMagazine #ArtificialIntelligence #Elite #FamilyOffice #AgenticAI #FinTech #WealthManagement #AutomatedPipelines #AssetArchitecture #NodeJS #TechTrends #MarketAlpha

Well said 🤝

Lil sis did the relationship a service

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