Episode
Context Engineering for Productive AI Agents with Filip Kozera - #741
- Published
- Jul 29, 2025
- Duration seconds
- 2761
- Processing state
failed
Actions
POST https://stenobird.com/v1/public/podcasts/twiml-ai-podcast/episodes/context-engineering-for-productive-ai-agents-with-filip-kozera-741/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/twiml-ai-podcast/context-engineering-for-productive-ai-agents-with-filip-kozera-741.md
Read the agent-friendly Markdown representation of this episode resource.
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.