Jingdong Sun·Sep 28AI Agents in Practice: Optimizing MCP: Solving Tool Schema Bloat and Data ChainingAs AI agents evolve from simple assistants into autonomous enterprise systems, their ability to interact with external tools becomes…A response icon1A response icon1
Jingdong Sun·Aug 16watsonx Orchestrate: When Not to Call the LLM — Bypass PatternsMost discussions around AI agents focus on increasing intelligence. One of the most common assumptions when building AI agents is that…
Jingdong Sun·Aug 9watsonx Orchestrate: Upgrade-Safe Customization for Operator-Managed DeploymentsUsing AI Agents to Detect Configuration Drift and Analyze Upgrade Readiness
Jingdong Sun·Aug 2AI Agents in Practice: An AI-Powered Development Workflow for watsonx Orchestrate Agents— including an Agent Builder skill and an Agent Review tool
Jingdong Sun·Jul 30AI Agents in Practice: Implementing CMMN and MDP for Intelligent Business ProcessesIn my previous article, Business Process Models for the Agentic Era, I discussed how traditional workflow models and AI-agent paradigms…
Jingdong Sun·Jun 7watsonx Orchestrate: on-prem cluster monitoringBackgroundA response icon1A response icon1
Jingdong Sun·Mar 30AI Agents in Practice: What Real-Time Systems Teach Us About Agent Memory ManagementI started writing blogs in 2021 when I was working on IBM Cloud Pak for Data. However, much of my career at IBM has been focused on…
Jingdong Sun·Mar 13watsonx Orchestrate: on-prem troubleshootingIBM watsonx Orchestrate (wxO) is an AI-powered enterprise agentic platform that enables organizations to create, configure, and deploy…A response icon1A response icon1
Jingdong Sun·Mar 10AI Agents in Practice: Tools vs FlowsAgent tools and flows are frequently discussed when developing agentic solutions. Many teams begin with tool-based agents because they are…
