The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Your snips
[00:30] Agents Need Human Collaboration
[04:36] Natural Language as Programming Code
[07:10] Agent Reflection Loops and Tools
[10:40] Enhance MCP Descriptions
[14:38] From Human UX to Agent UX
[16:01] Implement Graceful Recovery Systems
[19:10] Using Numerous Background Agents
[22:59] Choosing Architecture by Team Skills
[27:24] Data Access Challenges for AI
[31:56] AI Enables New Data Interfaces
[41:59] Custom Kite Surfing Agent
What I Learned from ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ Today๐๏ธ I just finished listening to this podcast: ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ The TWIML AI Podcast with Sam Charrington and Filip Kozera - ๐๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ: Context Engineering for Productive AI Agents - #741 ๐๐ฎ๐๐ฒ: August 16, 2025
๐๐ฒ๐ ๐ง๐ฎ๐ธ๐ฒ๐ฎ๐๐ฎ๐ Smart teams choose tech stacks based on training data availability, not just technical elegance. Filip's team deliberately selects architectures where AI can help developers most effectivelyโeven when it means making "suboptimal" technical choices.
๐ช๐ต๐ ๐๐ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐: As data silos and access restrictions grow, organizations must rethink how they build systems. The emerging tension between data ownership and AI innovation will reshape how we approach system design. The most successful approaches will balance compliance with practical AI assistance.
๐ฅ๐ฒ๐ณ๐น๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐ง This completely flips traditional best practices on their head. In finance tech, we often chase the "right" architecture while ignoring how our teams will maintain it. I'm rethinking our upcoming system rebuildโmaybe we should optimize for what our AI assistants understand best rather than what looks best in a system diagram.
Follow up To get the full insight, check out the podcast!
#TWIMLAI #ContextEngineering #AIAgents #MachineLearning #DataScience #TechInnovation #ProductivityTools #SoftwareArchitecture #AIAssistants #EnterpriseAI #DataAccessibility #FinTech #TechTrends #AIImplementation
What I Learned from ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ Today๐๏ธ I just finished listening to this podcast: ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ The TWIML AI Podcast with Sam Charrington and Filip Kozera - ๐๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ: Context Engineering for Productive AI Agents - #741 ๐๐ฎ๐๐ฒ: August 16, 2025
๐๐ฒ๐ ๐ง๐ฎ๐ธ๐ฒ๐ฎ๐๐ฎ๐ Context engineering transforms how AI agents understand and interact with company data. Filip showed how proper context allows agents to handle complex tasks that once required human intervention, creating more natural and useful AI interactions.
๐ช๐ต๐ ๐๐ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐: In financial services, we're drowning in data silos. Context engineering offers a path to break these barriers without sacrificing security or compliance. This approach could revolutionize how banks deliver personalized service while maintaining regulatory standards.
๐ฅ๐ฒ๐ณ๐น๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐ง I've been approaching our data architecture all wrong. Instead of building more specialized tools, we should focus on creating better contexts for our existing AI systems. I'm rethinking our Q3 roadmap to prioritize context engineering over new feature development.
Follow up To get the full insight, check out the podcast!
#TWIMLAI #ContextEngineering #AIAgents #MachineLearning #DataScience #FinancialServices #BankingTech #DataAccessibility #AIInnovation #ProductivityTools #AIAssistants #RegTech #DataStrategy #AIImplementation