Skip to main content
小组

Agentblazer Community Group

Welcome, Agentblazer! Are you ready to connect with AI leaders and enthusiasts from around the world? You've come to the right place. The Agentblazer Community is the premier destination to skill up on AI, discuss best practices, gain access to Agentforce product experts, showcase your expertise, and supercharge your career.

Trailhead Tuesday! 

  

Move from fundamentals to advanced expertise with guided, step-by-step learning across Salesforce products with Trailhead Journeys

 

From these Journeys, you'll learn:

  • How to ground agentic AI with unified data and automate complex decision-making
  • Ways to visualize key metrics and build data literacy for smarter business decisions
  • Strategies to integrate people, data, and agents where work happens to boost productivity

 

Live Trailhead Journeys:

 

Ready to stop guessing what’s next and start building the skills you need for success? Dive into a journey today ✨

0/9000

If you loved the and want to put the Well-Architected Framework into actual practice, this is something you’ve been waiting for.If you loved the #TDX26AgentblazerChallenge and want to put the Well-Architected Framework into actual practice, this is something you’ve been waiting for. 

 

Salesforce Developer Group, Dubai, UAE  is bringing a brand-new series for the Trailblazer Community: De-Fragging the Franken-Org!

 

Helping you Make your Legacy Salesforce Org Agentforce Ready. 

 

Register now to secure your seat and enter to win exclusive Well Architected Prizes.  

 

Registration Link : https://forms.gle/P1Sip2URYGSdaGK27

 

@Salesforce Developer Group, Dubai, UAE @WFD Partner Cohort: TDX2630DaysChallenge @Agentblazer Community Group @* Salesforce Developers * @Architect Trailblazers 

4 条评论
0/9000
5 条评论
  1. 昨天,02:32

    One time password (app-generated) via 1password or Google authenticator will work for the average user, but your automated testing platform needs to support it.

0/9000

📣 Session 1 of 8 - Registration Now Open 

 

De-Fragging the Franken Org: Legacy to Agentforce Ready 

Episode 1: The Discovery Lens 

 

📅 Sunday 7 June 2026 

⏰ 11:00 AM Dubai · 8:00 AM London · 12:30 PM Mumbai 

 

You can't fix what you don't understand. Before migrating, a single automation or building a single agent, you need to know exactly what's in your org. 

 

In Session 1, we run a complete live discovery audit on a legacy Salesforce org using the tools that matter in 2026: 

 

✅ OrgCheck - live health scan 

✅ Salesforce Inspector Reloaded - field and API analysis 

✅ Salesforce CLI - metadata inventory 

✅ Org Complexity Scorecard - your series baseline 

 

Live. On the Trailblazer Community. 

 

Click Here to RSVP

 

@Salesforce Developer Group, Dubai, UAE @Agentblazer Community Group @WFD Partner Cohort: TDX2630DaysChallenge @* Salesforce Developers * @Architect Trailblazers

2 条评论
  1. 昨天,16:09
    Technical Debt is not bad unless we keep running away from it.
0/9000

Hi Team I was practising https://trailhead.salesforce.com/content/learn/projects/customize-a-service-agent-with-prompts-flows-and-actions/update-a-flow-agent-action-and-topic?trail_id=become-an-agentblazer-innovator-2026

this trailhead and I saw get sessions method being called 

 

actions:

Get_Sessions: @actions.Get_Sessions

with experienceId = ...

with startDate = @variables.converted_date

        although in trailhead it was not mentioned to try but i wanted to see how to pass  vairables to actions .I observed that irrespective of variable value available or not it always passes null 

in other actions slot filling mechanism is used .  

Get_Experience_Details: @actions.Get_Experience_Details

with experienceName = ...

    As per observations it seems to call any actions we have to use slot filling only variables cannot be used.  

Community please correct me if i am doing wrong

4 个回答
  1. 5月31日 17:01

    @Hasan Mustafa

    As per the instruction they mentioned in the trailhead I think new action should not be needed .Let me try modifying this and calling seperate action to set in before reasoning 

     

    instructions: ->

    |Convert the date provided by the user into the YYYY-MM-DD format and store it in the @variables.converted_date variable before using it for the {!@actions.Get_Sessions} action.

0/9000
0/9000

The Agentblazer Collection 🗞️ 

 

What is it? 

The Agentblazer Collection is a weekly post shared in the community with resources from Salesforce related to Agentforce, community-contributed resources, and other exciting items ✨ 

 

Featured Resources this Week:

 

Agentblazers, hope your day is going well 😊

2 条评论
0/9000

Can someone help me when trying to ask questions related to Knowledge object , Agentforce doesn't do anything even if Knowledge grounded data is setup with fields accessible and user also has access to all Knowledge articles?

Are there any pre requisites to do? 

11 个回答
  1. 2025年1月31日 12:52

    Following the quick and easy setup of Service Agent and its 'Answer Questions with Knowledge Action' doesnt tell you that you first need to have Data Cloud enabled. 

     

    Even once data cloud was enabled,  it wasnt working for us, the agents were not consuming the knowledge articles. 

     

    What we found is that because we created the agents and its required einstein data library BEFORE enabling data cloud,    it didnt create the Search Index. 

     

    We were able to make it work : 

     

    - Make sure Data Cloud is enabled 

    - Create a NEW einstein data library 

    - Go to Apps->Data Cloud->Search Index 

    - You should see a new search index created with a status of In-Progress 

    - While its processing,   go to your agents builder > Data Library and change the einstein data library selection to the new one you created.  

    - Once all agents are no longer linked to the old data library, delete it. 

    - Once the Search Index status changes from in progress to completed/ready,   the 'Answer Questions with Knowledge Action' actions properly linked to this new Einstein data library will start to work. 

     

    Enjoy !

0/9000

hello trailblazers, 

 I am encountering a issue where my Custom Lightning Type (CLT) successfully overrides the UI for a standard

Employee Agent but fails to override the UI for a Service Agent running within the Enhanced Chat v2

environment. 

I followed the official documentation:

Custom Lightning Types for Generative AI (Agentforce)

.  

 

When the action is run by the

Service Agent (tested using the "Test Enhanced Web Chat" link), the output always renders as plain text (or the default Agentforce UI) and does not load my custom LWC

.  

 

What specific permissions, meta tags, or deployment steps might the Service Agent require that are

different

from the Employee Agent setup?  

 

Thank you in advance for any insights! 

3 个回答
  1. 5月27日 15:57

    @Suresh Bandi

      

    I faced the same issue with Custom Lightning Types in Service Agent. 

     

    The problem was not with the renderer configuration. The root cause was missing Apex class access for the Service Agent runtime user. Once the required Apex access/permission set was assigned, the custom renderer started working correctly. 

     

    A few key points to check:

    •  Service Agent user must have access to all Apex classes involved in the CLT flow 
    •  Required permission sets should be assigned

     

    Also, an important observation:

    •  You may not see the proper rendered UI inside the Service Agent builder/preview 
    •  The Custom Lightning Type renders correctly in the actual Embedded Service Chatbot deployment, especially in Embedded Service Chatbot v2

     

    So always validate the behavior in the real deployed chatbot experience after publish, not only in the builder preview.

0/9000

Agentforce Demo Day is now on demand. 🎬

 

Real builders. Real agents. Real results — see how Indeed and SharkNinja are shipping AI agents in production today built on Agentforce. 

 

Watch the demos to learn how to:

  • Build and deploy agents directly in your IDE — no Salesforce UI required
  • Orchestrate and control agents with precision using Agent Script
  • Work with the unstructured data you actually have

 

👉 Watch Agentforce Demo Day

0/9000