How do you make AI useful?
While a lot of money and attention have been focused on foundational models and chips – the "picks and shovels" of AI – it takes a different skill set to create AI products that change the way we work, learn, and live. We’re seeing this in AI co-pilots, AI-first networks and marketplaces, and entirely reimagined software categories where AI is solving long-standing challenges in new ways.
But how do they actually do it? Greylock partner and former product builder Seth Rosenberg talks with founders about their inspiration and process to build, test, and continually reimagine how AI and humans work together.
Learn more about the series at productledaipod.com
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How do you make AI useful?
While a lot of money and attention have been focused on foundational models and chips – the "picks and shovels" of AI – it takes a different skill set to create AI products that change the way we work, learn, and live. We’re seeing this in AI co-pilots, AI-first networks and marketplaces, and entirely reimagined software categories where AI is solving long-standing challenges in new ways.
But how do they actually do it? Greylock partner and former product builder Seth Rosenberg talks with founders about their inspiration and process to build, test, and continually reimagine how AI and humans work together.
Learn more about the series at productledaipod.com
Traditional CRMs compress customer relationships into rigid database fields, losing critical context along the way.
AI needs rich, unstructured data to do meaningful work—but most companies have their customer information scattered across email, call recordings, Slack, and support tickets that never talk to each other.
Lightfield co-founders Keith Peiris and Henri Liriani (who previously scaled Tome to 20 million users) believe the solution is a "database-first" AI CRM that automatically captures and indexes every customer interaction, creating a queryable lake of context.
They're building for a new generation of technical founders who are approaching go-to-market like engineering a machine rather than industrializing traditional sales processes.
The vision: transform the CRM from a sales tool into a company-wide "hub of customer truth" that keeps entire organizations connected to what customers actually need, democratizing access to customer insights beyond just the sales team.
You can read a transcript of this interview here: https://productledaipod.com/
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Product-Led AI
How do you make AI useful?
While a lot of money and attention have been focused on foundational models and chips – the "picks and shovels" of AI – it takes a different skill set to create AI products that change the way we work, learn, and live. We’re seeing this in AI co-pilots, AI-first networks and marketplaces, and entirely reimagined software categories where AI is solving long-standing challenges in new ways.
But how do they actually do it? Greylock partner and former product builder Seth Rosenberg talks with founders about their inspiration and process to build, test, and continually reimagine how AI and humans work together.
Learn more about the series at productledaipod.com
