Building AI That Thinks Like a Human - Brian Raymond Unstructured on Agentic Software & Human-AI Collaboration | EP 128
· 43 min · S1 E128
Episode Building AI That Thinks Like a Human - Brian Raymond Unstructured on Agentic Software & Human-AI Collaboration | EP 128
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In this episode of the AI Agents Podcast, host Demetri Panici sits down with Bryan Raymond, founder and CEO of Unstructured, to break down one of the least flashy but most important layers in AI: data preparation. They dig into why so many AI prototypes still fail in practice, why RAG systems struggle with messy enterprise data, and how structured inputs like JSON, Markdown, and HTML can dramatically improve model performance.
Bryan explains how Unstructured helps enterprises turn raw files, scanned documents, audio, video, and other messy sources into AI-ready data for RAG pipelines and agent systems. The conversation covers why context quality matters so much, why tables and document layout are still hard for models, how vision-language models changed the game, and what it takes to move from AI prototype to production.
They also get into where AI is heading in 2026: declining failure rates, more practical “bread and butter” use cases, better multi-agent systems, and why companies like Cursor and Lovable have succeeded by packaging great UX around powerful infrastructure. If you want a clearer view of what’s actually missing in enterprise AI stacks right now, this episode is a must-watch.
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⏰ TIMESTAMPS: 00:00 – Why AI still feels exciting and broken at the same time 01:03 – Bryan Raymond’s background and the origin of Unstructured 03:03 – What Unstructured does: turning raw data into AI-ready data 06:06 – Why RAG exists and why structured data matters so much 10:42 – The hard part: tables, layouts, scanned PDFs, and document parsing 17:48 – Who needs this most: gen-AI teams vs data engineering teams 20:20 – The industries moving fastest with enterprise AI 26:28 – 2026 predictions: lower failure rates and stronger agent systems 29:33 – Cursor, Lovable, enterprise UX, and where AI infrastructure is heading 33:42 – AI jobs, junior engineers, and where real opportunity still exists ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Sign up for free ➡️ https://www.jotform.com/
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Links in the notes 5
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