Learn how Vercel's open-source Workflows platform simplifies deploying durable, observable, and long-running AI agents by abstracting away the infrastructure complexities of queues, databases, and error handling.
Marc Dupuis, CEO of fabi.ai, argues that AI tools will elevate, not eliminate, data scientists by automating routine coding and enabling a focus on higher-value tasks. He advocates for building automated workflows that meet stakeholders in their native tools like Slack, delivering far greater ROI than traditional dashboards, and shares core principles for designing effective AI-first products.
Ben Smith and James Beswick explore the evolution of modern software architecture, discussing the critical role of workflow services in managing distributed systems, the trade-offs between microservices and monoliths, and the power of plugin architectures.
The field of AI Engineering is evolving from simple 1:1 applications to complex, AI-intensive systems with high LLM-call ratios. This talk explores the search for a 'Standard Model' for AI engineering, analogous to MVC or ETL in traditional software, proposing several candidates including LLM OS, LLM SDLC, and a new SPADE (Sync, Plan, Analyze, Deliver, Evaluate) model for building robust applications.