# Latent Space's cooking show features Reducto's PDF processing recipe

> Original title: our cooking show (yes, cooking show) is back!!!

- Source: swyx
- Published: 2026-11-06T22:13:28.000Z
- Bad Influence: https://badinfluence.news/items/q25hi3pz6z069jetegy8fgzp6
- Original: https://x.com/swyx/status/2118829142607278366

## Summary

swyx announces a new episode of Latent Space's cooking show, where Reducto CEO Adit Abraham reveals Reducto's PDF processing approach while the pair make steak sandwiches. The episode also covers why frontier models silently drop rows and what Reducto learned processing a billion pages a month.

## Post

our cooking show (yes, cooking show) is back!!!

@aditabrm reveals the entire recipe of @reductoai pdf processing and also steak sandwich making

at the end we address the serious allegations leveled by @barsisyphus 

more elite food journalism coming on https://youtube.com/@latentspacepod

![](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHWeXlG2bcAAKkPJ.jpg&mode=thumb&exp=1794268800&sig=3d7450996482357b)

## Quoted post @latentspacepod

> In this episode, @reductoai co-founder and CEO @aditabrm joins @allenpark to make steak sandwiches with burrata, torched peaches, and chimichurri and talk about why PDFs still break AI: how frontier models silently drop rows, why 99% accuracy can still fall short in production, what Reducto learned processing a billion pages a month, and what it would take for office work to have its Claude Code moment.
> 
> 00:00 Cold Open
> 00:13 Meet Adit Abraham and the Viral Steak Tweet
> 00:57 From Remembrall to Reducto: YC and the Pivot 
> 01:57 Why PDFs Are Still Hard for AI 
> 03:35 What AI Agents Need to Do With Documents 
> 04:19 Model Routing for Tricky Pages and Tables 
> 05:29 Build vs. Buy: When to Train Your Own Models 
> 07:00 Deep Extract, Frontier Models, and Missing Rows 
> 08:20 Why Everyone Wins Their Own Benchmark 
> 09:29 Reducto R1: Accuracy, Cost, and a Billion Pages a Month 
> 10:57 When 99% Accuracy Isn’t Enough 
> 13:05 Continuous Evals and Production Failures 
> 16:49 How Reducto Uses AI Agents Internally 
> 18:28 Hiring With AI and the Eight-Hour Onsite 
> 20:17 Early Hires and What Obsession Looks Like 
> 23:17 Blowtorching Peaches 
> 24:24 Scaling From a Small Team to Series B 
> 27:34 Competition and the Data Flywheel 
> 30:52 What Better Parsing Unlocks for Customers 
> 32:11 Finding a Cofounder at MIT 
> 34:34 The Anthropic Hackathon, Long-Term Memory, and RAG 
> 38:49 From Reading PDFs to Redlining Contracts 
> 43:19 A Claude Code Moment for Office Work
> 46:13 What’s Next for Reducto: Extraction, Citations, and Cost 
> 47:51 Assembling the Steak Sandwich 
> 49:55 The Steak Allegations and Taste Test

https://x.com/latentspacepod/status/2118800336412709024