{"podcast":{"title":"The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)","slug":"twiml-ai-podcast","podcast_index_feed_id":1045879,"rss_url":"https://feeds.megaphone.fm/MLN2155636147","website_url":"https://twimlai.com","image_url":"https://megaphone.imgix.net/podcasts/35230150-ee98-11eb-ad1a-b38cbabcd053/image/TWIML_AI_Podcast_Official_Cover_Art_1400px.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress","author":"TWIML","episode_count":785,"summary":"Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/twiml-ai-podcast"},"episode":{"title":"Context Engineering for Productive AI Agents with Filip Kozera - #741","slug":"context-engineering-for-productive-ai-agents-with-filip-kozera-741","published_at":"2025-07-29T19:37:00+00:00","page_url":"https://stenobird.com/podcast/twiml-ai-podcast/context-engineering-for-productive-ai-agents-with-filip-kozera-741","show_page_url":"https://stenobird.com/podcast/twiml-ai-podcast","url":"https://twimlai.com/podcast/twimlai/context-engineering-for-productive-ai-agents/","audio_url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/MLN9863568954.mp3?updated=1753817752","summary":"In this episode, Filip Kozera, founder and CEO of Wordware, explains his approach to building agentic workflows where natural language serves as the new programming interface. Filip breaks down the architecture of these \"background agents,\" explaining how they use a reflection loop and tool-calling to execute complex tasks. He discusses the current limitations of agent protocols like MCPs and how developers can extend them to handle the required context and authority. The conversation challenges the idea that more powerful models lead to more autonomous agents, arguing instead for \"graceful recovery\" systems that proactively bring humans into the loop when the agent \"knows what it doesn't know.\" We also get into the \"application layer\" fight, exploring how SaaS platforms are creating data silos and what this means for the future of interoperable AI agents. Filip also shares his vision for the \"word artisan\"—the non-technical user who can now build and manage a fleet of AI agents, fundamentally changing the nature of knowledge work. The complete show notes for this episode can be found at https://twimlai.com/go/741.","meta_description":"In this episode, Filip Kozera, founder and CEO of Wordware, explains his approach to building agentic workflows where natural language serves as the new p…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2761,"processing_state":"failed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/twiml-ai-podcast/episodes/context-engineering-for-productive-ai-agents-with-filip-kozera-741/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/twiml-ai-podcast/context-engineering-for-productive-ai-agents-with-filip-kozera-741.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}