AI Tool Calling Pattern for Salesforce Apex
How to implement AI tool calling (function calling) in Salesforce Apex, working around the DML-before-callout transaction limitation with a multi-transaction follow-up pattern.
How to implement AI tool calling (function calling) in Salesforce Apex, working around the DML-before-callout transaction limitation with a multi-transaction follow-up pattern.
How to pull, manage, and analyze Salesforce Apex debug logs using SFDX CLI and Claude Code for fast root cause diagnosis.
Core Apex programming — classes, interfaces, triggers, governor limits, and order of execution.
Salesforce approval workflows — multi-step approvals, routing, actions, and integration patterns.
Using Custom Metadata Types to externalize AI chatbot configuration -- model settings, behavior rules, and UI prompts -- with cached Apex queries and fallback defaults.
Data operations in Salesforce — import/export, migration, quality, and storage optimization.
Schema design, object and field configuration, relationships, and platform configuration patterns.
Salesforce Flow automation — screen flows, record-triggered flows, scheduled flows, and advanced patterns.
Reference articles for building Lightning Web Components — lifecycle, events, data binding, wire adapters, and component design patterns.
Salesforce-native AI capabilities — Data Cloud, Einstein, Agentforce, Prompt Builder, and the Trust Layer.
A strategic guide to implementing CI/CD for Salesforce orgs — covering environment progression, tooling, workflows, and how to incorporate admin-driven declarative changes into a source-controlled pipeline.
What Salesforce Data Cloud (Data 360) is, why it underpins Agentforce and real-time personalization, how pricing works, and how to implement it.
Salesforce security model — access control, sharing, permissions, and programmatic enforcement.
Querying and accessing Salesforce data — SOQL, SOSL, relationships, and DML patterns.
Apex testing strategies — test classes, data factories, mocking, and deployment requirements.
Head-to-head comparison of Gearset, Copado, AutoRABIT, Flosum, and Salesforce DevOps Center — features, pricing, and a recommendation for most teams.
How to leverage Salesforce's native AI (Agentforce, Einstein) plus third-party tools like Gong and Zapier, with guidance on Data Cloud and MCP.
How Einstein, Sales Cloud, Flow, CPQ, and the Mobile App work together to automate sales processes and drive revenue growth in 2025.