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Agentforce & AI
Agentforce, Prompt Builder, Data Cloud and Salesforce AI.
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Agentforce for Service: Service Agents, Setup & Use Cases
What Agentforce for Service is in 2026, how an Agentforce Service agent works, the setup steps in Agentforce Studio, how to route to it,…
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Best Agentforce Trailhead Modules for the Agentforce Specialist Exam (and Agentblazer Status)
The Agentforce Trailhead modules worth your time in 2026, mapped to the Agentforce Specialist exam sections, plus how the three Agentblazer Status trails and…
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Salesforce AI Certifications in 2026: Which One Fits Your Role
The Salesforce AI credentials that matter in 2026: Agentforce Specialist, the Agentforce Sales and Service Consultant exams, Agentblazer Status, and what happened to AI…
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Agentforce Pricing Explained: Flex Credits, Conversations and Per-User Options
How Agentforce pricing works in 2026: Flex Credits per action, per-conversation pricing, $125 add-ons and the $5 user license, with worked cost examples and…
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Agentforce Tutorial: Build Your First Agent in Agentforce Builder
A beginner Agentforce tutorial: create an agent in Agentforce Studio, add a subagent and actions, write reasoning instructions, preview it, then commit and activate.
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Agentforce Topics (Now Subagents) and Actions: How Agents Decide What to Do
How Agentforce subagents (formerly topics), actions, tools and reasoning instructions fit together, with Agent Script examples and the design rules that make agents reliable.
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Agentforce Testing Center: How to Test Agents Before Go-Live
How to test an Agentforce agent in Testing Center: test suites, turn vs conversation tests, generated and CSV test cases, live vs mocked data,…
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Salesforce Prompt Builder Tutorial: Sales Email, Field Generation and Flex Templates
Step-by-step Prompt Builder tutorial: the three prompt template types, grounding with merge fields, flows and retrievers, versioning, permissions and prompt-writing tips.
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Salesforce Data Cloud (Data 360) for Agentforce: RAG, Search Indexes and Retrievers Explained
How Data 360 (Data Cloud) grounds Agentforce: RAG step by step, chunking strategies, vector vs hybrid search, retrievers, prefilters and Agentforce Data Libraries.
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Einstein Trust Layer Explained: Data Masking, Zero Retention and Toxicity Detection
How the Einstein Trust Layer protects prompts and responses: secure grounding, data masking, prompt defense, zero data retention, toxicity scoring and audit trail.