Infinite Conversations
What does the world look like if the cost of conversation drops to zero?
Over 3 million people apply to Google every year, but only ~30,000 get an interview.
Conversations are our filtering mechanism, but they can't scale infinitely—so we've built systems that make decisions without dialogue.
But what if the cost of conversation dropped to zero? What if we could have deep, ongoing dialogues with everyone?
The Screening Problem
YC receives 20,000 startup applications every batch and can only accept 200. How do they choose?
First, they screen applications — thousands of founders distilled into a few written answers. Then maybe 2,000 companies get a 10-minute interview: quick questions, surface-level answers, gut decisions under time pressure.
The other 18,000 companies never get a chance. Some might be the next Airbnb, but there's only so much signal you can extract from a form and a brief call.
This is the coordination tax. We settle for surface-level evaluation because deep assessment is too expensive.
Conversations give deeper signals
Instead of a 10-minute interview, imagine if YC's AI agent could have ongoing conversations with every founder for 30 days. Not just Q&A, but real dialogue.
The AI gets to know the founders' motivations and backgrounds, watches how they think through problems, observes them set weekly goals and sees whether they hit them. It notices how they respond to setbacks, adapt their strategy, and communicate with their team.
This is fundamentally different. A 10-minute interview captures what founders can articulate under pressure. A month of conversations reveals who they actually are.
Why Dialogue Reveals More
The deepest signals emerge only through back-and-forth conversation, not static forms.
When a founder claims they're "customer-obsessed," the AI can probe deeper: How do they actually talk to customers? What did they learn from their last five customer calls? How did that change their product roadmap?
Through dialogue, patterns emerge in how they think, learn, and execute. An AI interviewer could have these deep conversations with all 20,000 applicants—continuously, over weeks or months—building rich profiles of each startup.
Here's an interactive example you can try:
My agent will talk to your agent
Now what happens when both sides have agents working on their behalf?
The best opportunities are often revealed only through conversation — through a constructive back-and-forth dialogue where both parties pursue their interests while trying to be useful to their counterpart.
Continuous job matching
Your job search agent knows your skills, career goals, and cultural preferences. A company's recruiting agent knows exactly what they need beyond the job description. These agents have ongoing conversations, exploring fit from multiple angles.
As a job-seeker, your agent dialogues with thousands of companies while presenting your best stories and strengths. As a recruiter, your agent converses with everyone interested to find the ideal blend of skills, experience, and culture fit.
Imagine you're a software engineer looking for your next role. A job board might match you to "Senior Backend Engineer, 5+ years Python, startup experience preferred."
But through conversation, something different emerges. Your agent mentions you've been thinking about moving closer to the hardware layer. The company's agent reveals they're rebuilding their data pipeline and need someone who can bridge software and infrastructure. Your agent notes your recent fascination with database internals. Their agent gets excited—they're evaluating new database technologies and need someone to lead that investigation.
None of this appears in static forms. The job posting says "Python experience required." Your resume says "full-stack development." A matching algorithm would never connect you.
But through dialogue, both agents discover a perfect fit that neither side initially knew they wanted.
Continuous vendor evaluations
An enterprise needs a compliance tool for their new AI product, but there are 200 similar-looking vendors. Instead of assigning someone to research vendors and schedule meetings, their agent handles the exploration.
The vendor's agent also wants to understand the enterprise's specific needs, budget, and timeline. Both agents work to find the perfect match.
The magic happens when agents represent both sides' interests simultaneously—not just matching, but negotiating, exploring, and discovering win-win scenarios humans would never have time to investigate.
The Scale Advantage
But here's where it gets really interesting: agents don't have human limitations.
While we're constrained by time, attention, and communication speed, agents can operate at a completely different scale. They can have thousands of conversations simultaneously, communicate at speeds far beyond human typing (think 1M words per minute instead of 150), and even develop more efficient communication methods than natural language—sharing data structures, code, visual representations, or entirely new formats optimized for machine understanding.
This means conversations that would take humans months or years can happen in hours. Complex negotiations, detailed technical discussions, and deep explorations of fit can all occur in parallel across thousands of potential matches.
The result? True infinite conversation—not just more conversations, but fundamentally deeper and more comprehensive coordination than humans have ever achieved.
That's the infinite conversation - every good opportunity gets proper evaluation. Every person gets a real chance. More win-win situations unlocked.