In this conversation, Nikolay Advolodkin discusses the implementation and functionality of Temporal workflows, focusing on how they interact with various systems, the execution of workflows using the Temporal CLI, the role of AI in decision-making within workflows, the importance of Activities in Temporal, and the implementation of workers to manage workflow execution. The discussion highlights the benefits of using Temporal for automating processes, ensuring redundancy, and improving efficiency in software development.

👉Quickstart w/ Temporal: https://docs.temporal.io/quickstarts?utm_campaign=awareness-nikolay-advolodkin&utm_medium=video&utm_source=youtube

🧑‍💻Code: https://github.com/nadvolod/temporal-warmups/blob/main/exercise-06-support-triage/exercise-06-README.md

🤝Connect with Nikolay: https://www.linkedin.com/in/nikolayadvolodkin/  

📝Chapters
00:00 Introduction to AI Triage Workflows
00:34 Challenges in AI Ticket Classification
01:20 Leveraging Temporal for Workflow Management
02:34 Implementing Human Approval in AI Workflows
04:10 Building the Support Triage Workflow
04:41 Configuring Activity Options in Temporal
05:34 Wrapping Non-Deterministic Activities
08:18 Starting and Managing Workflows with Workers

Temporal's platform is a central hub for developers interested in distributed systems, workflow orchestration, and fault-tolerant computing. Through articles, tutorials, and documentation, Temporal offers insights into building resilient and scalable distributed applications. Developers can learn about workflow automation, state management, and handling failure scenarios using Temporal's workflow engine and coordination APIs.

Temporal

Temporal provides durable workflow orchestration for AI systems that need human approval steps. The tutorial demonstrates building a support ticket triage system where AI scrubs PII and classifies tickets, then waits for human approval before proceeding. Temporal handles retries, crash recovery, and state persistence automatically, allowing workflows to survive server failures and resume exactly where they left off. The implementation uses activities for non-deterministic operations (AI calls), workflows for orchestration logic, workers to execute tasks, and signals for human-in-the-loop approval.

Learn human In the loop AI Agents in 15 minutes | Notes Included