Hi, I'm Parvinder.
Salesforce architect and builder sharing deep dives on Agentforce, Apex, LWC, and the agentic patterns reshaping enterprise development.
Your enterprise will soon have a workforce of AI agents and MCP tools. Dozens of Agentforce agents in Salesforce. Third-party agents on other platforms. MCP tool servers exposing your APIs,...
Read articleYour organization is building agents. They’ll use LLMs for reasoning, MCP tools for action, and A2A for cross-domain collaboration. But when an agent receives a task — what actually executes...
Read articleEvery major agentic platform is converging on A2A as the protocol for inter-agent communication. Salesforce Agentforce, Google Vertex AI, AWS Bedrock, Azure AI, the open-source frameworks — all of them....
Read articleYou have agents everywhere. Three in your CRM handling leads, pipeline, and quotes. Another cluster in HR managing onboarding, leave, and compensation. A few more in your ERP tracking procurement,...
Read articleMCP (Model Context Protocol) and A2A (Agent-to-Agent Protocol) both involve agents communicating. Both use JSON-RPC over HTTP. Both promise interoperability. But they solve completely different problems. Here’s how to tell...
Read articleBasic RAG is simple: chunk your documents, embed them, retrieve the top-k matches, stuff them into a prompt. It works for toy demos. It breaks in production. Here are 5...
Read articleWhen building Agentforce Agents, you need a way to test them over the Agent API and see exactly what’s coming back. This open-source React app gives you a local chat...
Read articleIn the world of generative AI, we often focus on the “chat”—the natural, conversational flow between a human and an agent. But for developers, the real magic happens when we...
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