Agentforce Prompt Builder & Prompt Templates Guide 2026
🤖 Free Agentforce Course 2026 — sfinterviewpro.com
✨ Module 6 of 15
Prompt Builder
Grounded AI Prompts
Master Prompt Builder — create reusable prompt templates grounded in your Salesforce data. Learn all 4 template types, how grounding works (data + context = smarter responses), and invoke prompts from your Subagents and Actions. Your agent levels up to DATA-AWARE AI!
4
Template Types
3
Grounding Methods
100%
Data-Aware
Reusable
Prompts
📍 Course Progress — Module 6 of 15
✅Intro
✅Trust
✅DevOrg
✅Builder
✅TIA
M6Prompt
M7Std Act
M8Flow
M9Apex
M10API
M11Data
M12Deploy
M13Scale
M14Test
M15Done
🎯 What You'll Master in This Module
Prompt Builder basics (4 template types). Grounding fundamentals (how to add Salesforce data context to prompts). All 3 grounding methods (Record Context, Data Table, Free-Form). Real XYZ Company prompt examples. Invoking prompts from Subagents. Interview patterns. By end, you'll build data-aware prompts that make agents 10x smarter!
💡 What is Prompt Builder?
Prompt Builder is Salesforce's no-code interface for creating prompt templates — reusable AI instructions grounded in your Salesforce data. Create once, use everywhere. Template = a prompt with placeholders that Agentforce fills in with real data from CRM. Einstein Trust Layer protects all data automatically.
Part 1: Prompt Builder Fundamentals
What is a prompt template? 4 template types. When to use each.
A prompt template is a reusable prompt WITH PLACEHOLDERS that Agentforce fills with real Salesforce data. Static part = your instructions. Dynamic part = data from CRM. Example: “Summarize Account {{AccountName}}: {{AccountDescription}}.” When invoked, {{AccountName}} becomes “ABC Pharma”.
1
The 4 Prompt Template Types
Know which to use when
| Template Type | Purpose | When to Use | Example Output |
|---|---|---|---|
| Field Generation | Generate or fill a single field value using AI | Auto-fill email subject, lead source, next step field | Generate email subject from Account name & Opportunity stage |
| Record Summary | Create a summary of a single record | Summarize Account for sales rep, brief case overview | “ABC Pharma: Healthcare, Mumbai-based, $50M revenue, key contact Rajesh...” |
| Sales Email | Generate customized email to customer | Draft follow-up emails, outreach, objection handling | Professional email to Rajesh at ABC Pharma w/ personalized details |
| Custom (Unrestricted) | Any AI task using Salesforce data | Competitive analysis, deal strategy, risk assessment | BI-generated risk analysis for Opportunity based on stage, days open, etc. |
✅ Pro Tip: Start with Guided Templates
Field Generation, Record Summary, Sales Email are “guided” — Prompt Builder helps you build them visually. Custom is freeform — write your own prompt from scratch. For learning, use guided templates first!
2
Create Your First Prompt Template: Account Summary
XYZ Company example — follow step by step
a
Go to Setup — Quick Find: Prompt Builder
b
Click New Prompt Template
c
Choose Record Summary type
d
Fill in template details:
📋 Template Configuration
Template Name: Account Summary for Sales
Description: Generates a 2-3 sentence business summary of any Account for sales reps
Object: Account
Prompt Text:
Summarize the following Salesforce Account in 2-3 professional sentences for a sales representative:
Account Name: {{Account.Name}}
Industry: {{Account.Industry}}
Description: {{Account.Description}}
Annual Revenue: {{Account.AnnualRevenue}}
Employees: {{Account.NumberOfEmployees}}
Location: {{Account.BillingCity}}, {{Account.BillingState}}
Include: What they do, why they matter as a customer, key insight for engagement.
Keep professional tone. Max 150 words.
Description: Generates a 2-3 sentence business summary of any Account for sales reps
Object: Account
Prompt Text:
Summarize the following Salesforce Account in 2-3 professional sentences for a sales representative:
Account Name: {{Account.Name}}
Industry: {{Account.Industry}}
Description: {{Account.Description}}
Annual Revenue: {{Account.AnnualRevenue}}
Employees: {{Account.NumberOfEmployees}}
Location: {{Account.BillingCity}}, {{Account.BillingState}}
Include: What they do, why they matter as a customer, key insight for engagement.
Keep professional tone. Max 150 words.
e
Click Test to preview. Select an Account (e.g., “ABC Pharma”). See it generate a summary!
f
Click Save
🎉 Your First Prompt Template!
You've created a reusable prompt! Every time an agent (or a user) invokes this template with an Account, it generates a fresh summary. This is the power of Prompt Builder — write once, use everywhere!
Part 2: Grounding — The Secret Sauce
Add Salesforce data context to prompts. Why it matters. How it works.
Grounding = adding real Salesforce data to your prompt as context. Without grounding, AI is generic (“Account is a business entity...”). With grounding, AI is smart (“ABC Pharma is a $50M healthcare manufacturer, key contact Rajesh, open opportunity for tubing...”). Grounded AI = data-aware AI = better responses!
1
Why Grounding Matters — Before vs. After
The difference between generic and smart AI
❌ Without Grounding
User: “Draft email to ABC Pharma”
AI generates: “Dear ABC Pharma, we offer silicone solutions for various industries...” (generic, no context)
AI generates: “Dear ABC Pharma, we offer silicone solutions for various industries...” (generic, no context)
✅ With Grounding
User: “Draft email to ABC Pharma”
AI generates: “Dear Rajesh, Thank you for your interest in pharma-grade tubing. As discussed, we can customize the tubing for your production line upgrade. Based on your 500-person team & $50M revenue, we recommend our Medical Grade Variant 3...” (personalized, data-aware)
AI generates: “Dear Rajesh, Thank you for your interest in pharma-grade tubing. As discussed, we can customize the tubing for your production line upgrade. Based on your 500-person team & $50M revenue, we recommend our Medical Grade Variant 3...” (personalized, data-aware)
💡 Grounding Rule
Always ground prompts when they reference CRM data. User says “Email this customer” — ground the prompt with Customer data. Agent needs to “summarize this deal” — ground with Opportunity & Account data. No grounding = generic responses. Grounding = smart responses.
2
3 Ways to Ground Prompts
Record Context, Data Table, Free-Form Input
| Grounding Method | How It Works | When to Use | Example |
|---|---|---|---|
| Record Context | Template tied to a specific object (Account, Opportunity). Prompt accesses {{Record.FieldName}} variables from that record. | Summarize single record, draft email to customer, generate field value. Most common! | {{Account.Name}}, {{Account.Industry}}, {{Opportunity.Amount}} |
| Data Table | Pass multiple records as a table inside prompt. AI processes table of data. | Compare multiple opportunities, analyze account portfolio, summarize competitor list | Table of top 5 open Opps w/ stage, amount, days open — AI analyzes & prioritizes |
| Free-Form Input | User (or Action) passes text directly into prompt. Not tied to specific CRM record. | Competitive analysis, strategy brainstorm, risk assessment. Any prompt that needs custom input. | User pastes deal notes, AI generates risk analysis. No record lookup needed. |
✅ Most Common: Record Context
99% of templates use Record Context. Template is tied to Account/Opportunity/Contact. Prompt accesses fields via {{Record.FieldName}}. Simple, reliable, Enterprise-grade.
3
Create Grounded Prompt: Sales Email (Record Context)
Follow along — template that uses Account data
a
New Prompt Template — Choose Sales Email type
b
Object: Account (so it's tied to Account records)
c
Template Name: Personalized Sales Email to Account
d
Prompt Text (copy exactly):
You are a professional sales representative for XYZ Company.
Draft a personalized email to the primary contact at {{Account.Name}}.
ACCOUNT CONTEXT (GROUNDING):
Company: {{Account.Name}}
Industry: {{Account.Industry}}
Location: {{Account.BillingCity}}, {{Account.BillingState}}
Website: {{Account.Website}}
Annual Revenue: {{Account.AnnualRevenue}}
Number of Employees: {{Account.NumberOfEmployees}}
Description: {{Account.Description}}
EMAIL REQUIREMENTS:
- Personalized greeting (address decision-maker by title & company, not generic “Dear Sir/Madam”)
- Reference their industry & company specific details (shows research)
- Mention how XYZ products solve their specific challenges (NOT generic pitch)
- Include 1 relevant case study hint (e.g., “Similar pharma manufacturers saw 30% efficiency gain...”)
- Clear call-to-action (meeting, demo, question)
- Professional, warm tone (not pushy)
- Max 150 words
Generate email now:
📋 Test This Template
Select Account: ABC Pharma
Click Test — watch AI generate a personalized email to ABC Pharma referencing their industry (Healthcare), location, revenue, etc. WITHOUT grounding, it would be generic. WITH grounding, it's personalized!
Notice: Every field {{Account.Name}}, {{Account.Industry}}, etc. gets replaced with real data from ABC Pharma record in Salesforce. That's grounding power!
Click Test — watch AI generate a personalized email to ABC Pharma referencing their industry (Healthcare), location, revenue, etc. WITHOUT grounding, it would be generic. WITH grounding, it's personalized!
Notice: Every field {{Account.Name}}, {{Account.Industry}}, etc. gets replaced with real data from ABC Pharma record in Salesforce. That's grounding power!
4
Data Table Grounding: Compare Opportunities
Pass a table of multiple records
Data Table grounding lets you pass multiple CRM records as a table. Agent queries open Opportunities, Prompt Builder formats them as a table, prompt analyzes. AI can prioritize, compare, spot patterns.
📋 Data Table Template: Opportunity Prioritization
Template Name: Prioritize Open Opportunities
Prompt Text:
“I will give you a table of open Opportunities. Analyze and rank them by winning probability (highest to lowest). Consider: days in stage, customer history (repeat buyer?), opportunity size, recent activity.”
Table (Grounding):
Opportunity ID | Account | Amount (₹) | Stage | Days in Stage | Last Activity
OPP-001 | ABC Pharma | 2,500,000 | Proposal | 12 | 2 days ago
OPP-002 | MedTech | 1,800,000 | Negotiation | 25 | 7 days ago
OPP-003 | BioLife | 350,000 | Qualification | 5 | Today
AI Output:
1. OPP-001 (ABC Pharma) — 85% win prob. New stage, recent activity, repeat customer — FOCUS HERE
2. OPP-002 (MedTech) — 65% win prob. In negotiation but inactive 7 days — nudge for update
3. OPP-003 (BioLife) — 40% win prob. Early stage, small deal — nurture only
Prompt Text:
“I will give you a table of open Opportunities. Analyze and rank them by winning probability (highest to lowest). Consider: days in stage, customer history (repeat buyer?), opportunity size, recent activity.”
Table (Grounding):
Opportunity ID | Account | Amount (₹) | Stage | Days in Stage | Last Activity
OPP-001 | ABC Pharma | 2,500,000 | Proposal | 12 | 2 days ago
OPP-002 | MedTech | 1,800,000 | Negotiation | 25 | 7 days ago
OPP-003 | BioLife | 350,000 | Qualification | 5 | Today
AI Output:
1. OPP-001 (ABC Pharma) — 85% win prob. New stage, recent activity, repeat customer — FOCUS HERE
2. OPP-002 (MedTech) — 65% win prob. In negotiation but inactive 7 days — nudge for update
3. OPP-003 (BioLife) — 40% win prob. Early stage, small deal — nurture only
✅ When to Use Data Table
Analyze multiple records at once. Compare opportunities, review account portfolio, evaluate leads. Any prompt that benefits from seeing “the whole picture” = use Data Table grounding.
Part 3: Invoking Prompts from Your Agent
Call prompt templates from Subagents. Invoke from Standard Actions, Flows, Apex.
Once you create a prompt template, invoke it from your Subagent to execute. Method depends on where you want to call it: Standard Action (simple), Flow (visual), Apex (complex). Each method fetches the prompt + data + runs AI.
1
Invoke Prompt via Standard Action (Simplest)
No code. Visual. Fastest way to start.
a
In Agent Builder — Open your Subagent (e.g., Sales Handler)
b
Canvas View — Add Action block (plus icon)
c
Search for your prompt template (e.g., “Account Summary for Sales”)
d
Configure inputs: Choose which Record ID to pass. Agent fills automatically with context.
e
Save. Now when user says “Summarize ABC Pharma” — agent invokes this action — prompt runs — summary appears!
✅ That's It!
Standard Action invoke is no-code. Pick your prompt template. Configure record input. Done! Agent can now call it anytime.
2
Invoke Prompt via Flow (Complex Logic)
Visual workflow that calls prompt
Use Flow when you need logic BEFORE or AFTER prompt. Example: Query multiple opportunities — loop through each — call prompt template for each — collect results — format response.
📋 Flow Example: Batch Opportunity Analysis
Flow Name: GenerateSummaryForAllOpenOpps
Flow Steps:
1. Query: GET all open Opportunities for Account X
2. Loop: For each Opportunity
a. Invoke prompt template: “Opportunity Summary” for this Opp
b. Collect summary text
3. Combine: Merge all summaries into one response
4. Return: Send combined summary to agent
Why Flow? Querying multiple records + looping + calling prompt multiple times. Standard Action can't do this. Flow handles it visually!
Flow Steps:
1. Query: GET all open Opportunities for Account X
2. Loop: For each Opportunity
a. Invoke prompt template: “Opportunity Summary” for this Opp
b. Collect summary text
3. Combine: Merge all summaries into one response
4. Return: Send combined summary to agent
Why Flow? Querying multiple records + looping + calling prompt multiple times. Standard Action can't do this. Flow handles it visually!
✅ Flow Process
In Flow Builder, add action “Invoke Prompt Template.” Pass record data. Flow continues after prompt completes. Use for multi-step processes!
3
Invoke Prompt via Apex (Custom Integration)
Most control. For advanced devs.
// Invoke Prompt Template from Apex
String promptTemplateId = 'FPC_xxxxxx'; // Your prompt template ID
String recordId = 'a03xx000001zzz'; // ABC Pharma Account ID
// Invoke prompt
PromptBuilderService.InvokePromptRequest request = new PromptBuilderService.InvokePromptRequest();
request.setPromptTemplateId(promptTemplateId);
request.setContextRecordId(recordId);
PromptBuilderService.InvokePromptResult result = PromptBuilderService.invokePrompt(request);
String generatedText = result.getGeneratedText();
System.debug('Generated Summary: ' + generatedText);
// Use generatedText in your agent response
// Example: Send email, update field, return to user
⚠️ Apex Invocation
Requires dev skills. Get prompt template ID from setup. Pass record ID. Receive generated text. Use when Standard Action or Flow not sufficient!
Part 4: Prompt Template Best Practices
How to write world-class templates. Avoid common mistakes.
1
Writing Perfect Prompts — 5 Rules
Every template should follow these
| Rule | What It Means | Good Example | Bad Example |
|---|---|---|---|
| 1. Be Specific | Tell AI exactly what to do, not vague requests | “Summarize this Opportunity: stage, amount, key risks, next steps. 100 words max.” | “Analyze this opportunity” |
| 2. Provide Context | Give AI the data it needs (grounding!) | Include {{Account.Industry}}, {{Opportunity.Stage}}, {{Account.AnnualRevenue}} in prompt | No field variables — make AI guess |
| 3. Set Constraints | Word limit, format, tone | “150-200 words. Professional tone. Bullet points for readability.” | No limits. AI rambles. |
| 4. Include Examples | Show AI what good output looks like (few-shot) | Include 1 sample summary showing desired structure & depth | Expect AI to guess what format you want |
| 5. Test Thoroughly | Use Test feature. Try with different records | Test with ABC Pharma, MedTech, BioLife. Verify quality is consistent | Create template once, never test, deploy broken |
✅ Template Quality = AI Output Quality
Vague prompt = vague output. Specific prompt with grounding + constraints + examples = excellent output. Spend time on your templates!
2
Common Mistakes to Avoid
Anti-patterns that break templates
❌ No Grounding
Prompt has no field variables. Generic responses.
✅ Grounded
Prompt includes {{Account.Name}}, {{Account.Industry}}, etc. Personalized responses.
❌ Too Vague
“Write an email about this customer” — AI guesses tone, length, details
✅ Specific
“Draft a follow-up email (150 words, professional tone) with 1 specific product recommendation based on their industry.”
❌ No Testing
Deploy template without testing. Broken in production.
✅ Well Tested
Test with 3-5 different records. Verify output quality is consistent before invoking from agent.
3
Naming Conventions — Organize Your Templates
Keep 10+ templates organized
📋 Naming Template
[Object]_[Action]_[Purpose]Examples:
— Account_Summary_ForSales
— Opportunity_RiskAnalysis_ForManager
— Contact_Email_InitialOutreach
— Case_NextSteps_ForSupport
✅ Benefit
Easy to find templates. Self-documenting. When Subagent invokes “Account_Summary_ForSales,” everyone knows what it does!
Prompt Builder — Interview Questions
Real questions from Agentforce developer interviews
| Interview Question | Best Answer |
|---|---|
| What is a prompt template? | A reusable prompt with placeholders ({{FieldName}}) that Agentforce fills with real Salesforce data. Static part = your instructions. Dynamic part = CRM data. Create once, invoke many times from agent/Actions. |
| Explain grounding and why it matters | Grounding = adding Salesforce data context to prompts. Without grounding, AI is generic. With grounding, AI is personalized & data-aware. Example: “Draft email to {{Account.Name}} in {{Account.Industry}}” — AI uses real Account data to customize response. |
| Describe the 3 grounding methods | 1. Record Context: Prompt tied to Account/Opp, uses {{Record.FieldName}} (most common). 2. Data Table: Pass multiple records as table, AI analyzes. 3. Free-Form: User passes text directly, no record lookup needed. |
| When would you use Data Table grounding? | When you need AI to analyze multiple records at once. Examples: compare 5 open opportunities, review account portfolio, evaluate lead list. Any “see the whole picture” prompt = use Data Table. |
| How do you invoke a prompt from a Subagent? | 3 ways: (1) Standard Action — select template visually, configure record input. (2) Flow — invoke template action in workflow, good for loops/multi-step. (3) Apex — call PromptBuilderService API for custom logic. |
Module 6 Summary — Prompt Builder Mastered
What you know now
- ✅4 Template Types: Field Generation, Record Summary, Sales Email, Custom. Know when to use each.
- ✅Grounding Power: Add Salesforce data context to prompts. Without grounding = generic. With grounding = smart, personalized responses.
- ✅3 Grounding Methods: Record Context ({{Record.FieldName}}, most common), Data Table (analyze multiple records), Free-Form (custom text input).
- ✅How to Create: Setup — Prompt Builder — Choose Type — Add grounding fields — Test — Save.
- ✅How to Invoke: Standard Action (simplest), Flow (visual, complex logic), Apex (custom). Pick based on use case.
- ✅5 Best Practices: Be Specific, Provide Context, Set Constraints, Include Examples, Test Thoroughly.
🎉 You're Now Data-Aware!
You can create grounded prompts that use real Salesforce data. Your agent is no longer generic — it's smart, personalized, and context-aware. This is what makes Agentforce powerful!
🧠 Module 6 — Knowledge Check
Q1: What is a prompt template? — A reusable prompt with placeholders ({{FieldName}}) that Agentforce fills with real Salesforce data. Create once, invoke many times.
Q2: Why is grounding important? — Without grounding, AI is generic. With grounding (adding data context), AI is personalized & data-aware. “Summarize {{Account.Name}} in {{Account.Industry}}” uses real data to customize response.
Q3: What's the most common grounding method? — Record Context. Prompt tied to Account/Opportunity/Contact. Uses {{Record.FieldName}} variables. Most templates use this.
Q4: When would you use Data Table grounding? — When AI needs to analyze multiple records at once. Compare opportunities, review portfolio, evaluate leads. Any “big picture” analysis prompt.
Q5: How do you invoke a template from Subagent? — 3 ways: Standard Action (simplest, visual), Flow (complex logic, loops), Apex (custom code). Pick based on use case.
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