{"podcast":{"title":"AI Agents Podcast","slug":"ai-agents-podcast","podcast_index_feed_id":7138806,"rss_url":"https://anchor.fm/s/fe2628e4/podcast/rss","website_url":"https://podcasters.spotify.com/pod/show/ai-agents-podcast","image_url":"https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/42539137/42539137-1733303816490-6a68ab8d1cff7.jpg","author":"AI Agents Podcast","episode_count":139,"summary":"Welcome to AI Agents, Jotform’s official podcast about all things AI Agents related, hosted by Aytekin Tank and Demetri Panici. Tune in as we discuss the current state of AI Agents, its future, developments in the AI form industry, and more. We’ll also be joined by a variety of guests and industry experts to discuss their unique positioning in the world of AI. Subscribe or follow to stay updated on new episodes!","last_synced_at":null,"page_url":"https://stenobird.com/podcast/ai-agents-podcast"},"episode":{"title":"Building AI That Thinks Like a Human - Brian Raymond Unstructured on Agentic Software & Human-AI Collaboration | EP 128","slug":"building-ai-that-thinks-like-a-human-brian-raymond-unstructured-on-agentic-software-human-ai-collaboration-ep-128","published_at":"2026-03-17T17:16:40+00:00","page_url":"https://stenobird.com/podcast/ai-agents-podcast/building-ai-that-thinks-like-a-human-brian-raymond-unstructured-on-agentic-software-human-ai-collaboration-ep-128","show_page_url":"https://stenobird.com/podcast/ai-agents-podcast","url":"https://podcasters.spotify.com/pod/show/ai-agents-podcast/episodes/Building-AI-That-Thinks-Like-a-Human---Brian-Raymond-Unstructured-on-Agentic-Software--Human-AI-Collaboration--EP-128-e3ghsq1","audio_url":"https://anchor.fm/s/fe2628e4/podcast/play/117027073/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-2-16%2F420156853-44100-2-0c725d0d5b63.mp3","summary":"The primary bottleneck in enterprise AI is not model intelligence, but the quality of data preparation. This episode explores how transforming messy, unstructured files into AI-ready formats like JSON and Markdown is the key to moving RAG prototypes into production.","meta_description":"Learn why data preparation is the most critical layer in the AI stack and how to solve the 'messy data' problem for RAG and agentic systems.","key_points":["Main idea: High-quality context engineering is more impactful for model performance than simply increasing model size","Failure mode: RAG systems often fail in production because they cannot parse complex document layouts, tables, or scanned PDFs","Practical takeaway: Converting raw data into structured formats like JSON or Markdown significantly reduces model hallucinations","Industry trend: The most immediate enterprise value lies in 'bread and butter' automation for finance, biotech, and defense","Future outlook: The next wave of AI success will come from superior UX and infrastructure packaging, similar to the rise of Cursor and Lovable"],"chapters":[{"start_ms":60000,"title":"The Origin of Unstructured","summary":"Bryan Raymond discusses his transition from investment banking to AI and identifying the data bottleneck in the transformer era."},{"start_ms":255000,"title":"Building Open Source Capabilities","summary":"A look at the development of tools to make Hugging Face datasets ready for large-scale model consumption."},{"start_ms":445000,"title":"The RAG Problem: Hallucinations and Context","summary":"Why models struggle with private organizational data and the necessity of providing accurate, specific information."},{"start_ms":640000,"title":"The Difficulty of Parsing Complex Documents","summary":"An analysis of why scanned PDFs, tables, and complex layouts remain a fundamental challenge for LLMs."},{"start_ms":835000,"title":"Scaling Beyond the Prototype","summary":"The challenges of maintaining vector databases and finding relevant information at enterprise scale."},{"start_ms":1215000,"title":"High-Demand Industries for AI","summary":"Exploring the adoption of AI in finance, biotech, and the massive demand within the defense sector."},{"start_ms":1600000,"title":"Predictions for 2026","summary":"The shift toward more reliable agentic systems and the decline of high AI failure rates."},{"start_ms":1790000,"title":"The Power of Great UX","summary":"How tools like Cursor succeeded by focusing on user experience and infrastructure rather than just model architecture."}],"topics":["RAG","Data Engineering","Unstructured Data","AI Agents","LLM Infrastructure","Enterprise AI","Document Parsing","Machine Learning"],"duration_seconds":2597,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/ai-agents-podcast/episodes/building-ai-that-thinks-like-a-human-brian-raymond-unstructured-on-agentic-software-human-ai-collaboration-ep-128/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/ai-agents-podcast/building-ai-that-thinks-like-a-human-brian-raymond-unstructured-on-agentic-software-human-ai-collaboration-ep-128.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}