Nathaniel Whittemore

speaker
52,364 appearances 204 recordings 3 series first heard Oct 2025 last heard yesterday

Nathaniel Whittemore’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
31 · Jun OctJan 26AprJulnow

Recordings per month over the last 12 months — 204 in all, peaking in Jun 2026 with 31.

Appearances

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These are judgments about meaning, and they're often difficult to express as fixed rules. podcast-host
JEV then is designed to take the relevant information and answer narrowly defined questions with probabilities, categories, or scores. podcast-host
The surrounding software then uses those answers to route, rank, flag, or proceed. podcast-host
In the TypeSafe documentation, they explicitly recommend breaking complex decisions into small questions and then combining their results in code. podcast-host
So where would this show up in normal business? podcast-host
One obvious area is customer support, where the small judgment the model could make would be something like, is the customer frustrated? podcast-host
And how have previous replies failed to address it? podcast-host
With those small judgments in hand, the software could then next route the ticket, raise its priority, or request human review. podcast-host
In the sales domain, the model could judge, is this a buying inquiry? podcast-host
Does the prospect fit the product? podcast-host
Are they requesting a meeting? podcast-host
The software could then take those judgments to sort inbound leads and assign follow-up. podcast-host
In marketing and editorial, the model might judge whether the copy meets specific style rules or whether the offer is clear. podcast-host
The software that surrounds it could then flag passages for revision before publication. podcast-host
And importantly, where a lot of people went was not just understanding where they would use this instead of LLMs, but how they might use it alongside LLMs. podcast-host
YC founder Nathan Flurry wrote, podcast-host
I'd imagine a lot of workflows that look like LLM proposes options, Jeb decides, code executes. podcast-host
To put a clear example on this, imagine that a customer writes, This is the third time I've contacted you, we still can't export our reports, and our renewal is next week. podcast-host
A support workflow supported by something like JEV could ask several questions together. podcast-host
One, is the customer describing a product problem? podcast-host
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