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#Agentforce369 discussing

Agentforce is an umbrella term of the set of tools to create and customize agents as well as the collection of agents Salesforce provides across the Customer 360. Agents can either be autonomous or assistive.

📣 Datablazer Hoodie Giveaway: What’s your favorite Agentforce Coworker use case?

 

We want to hear how you’re using Agentforce Coworker to change the way you work. Share your top use case and how much time it’s giving back to you for a chance to win one of 30 Datablazer Hoodies!

 

How to enter:

  1. Turn on Agentforce Coworker
  2. Tell us your top use case and how much time you’re getting back
  3. Submit your entry by October 20: https://bit.ly/4gKeAJH

Official rules here: https://sfdc.co/afcw 

 

We can’t wait to see what you’re building and how Agentforce Coworker is helping you work smarter!

1 comment
  1. Sep 13, 1:30 PM

    Hi @Alyssa Jenson , I put Agentforce Coworker

    to work on a single account and saved serious time. From one screen, I compared two promotions, checked the customer sentiment score and updated contact details instantly.  

    It’s a game‑changer for efficiency and customer experience — all in just a few clicks! 

     

    Link:

    https://www.linkedin.com/feed/update/urn:li:ugcPost:7504893430700007425/

     

     

    #TrailblazerCommunity #Trailhead #Agentforce #Salesforce #Data Cloud #SetupWithAgentforce #Dreamforce

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5 comments
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 I created a custom agent and can see it in my app, where it performs activities as expected. However, I am unable to view the Agent Access tab.  

To check, I navigated to

Setup → Agentforce Agents

, selected the agent, and opened the Agentforce Builder.  

 

#Agentforce

4 answers
  1. Sep 5, 5:47 AM

    @KANAKA RANGARAO PARIMI The Agent Access tab isn't part of Agentforce Builder — that's why it's not showing there. It lives inside a Permission Set.

    To grant access to your custom agent:

    1. Setup → Permission Sets → open one (or create a new one).
    2. In the Apps section, click Agent Access → Edit.
    3. Add your agent from the list of active agents → Save. (It only appears here if the agent is Activated — if it's missing, activate it in Agentforce Builder first.)
    4. Assign that permission set to the users who need the agent.

    So the path is Permission Set → Agent Access, not the Builder. Once assigned, those users get access.

    if this helps, please mark it as the Best Answer so it helps the next person — thanks 🙂

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I am experiencing a synchronization delay when trying to link a newly built flow to a subagent action. After creating the flow, I go to add a new action and select Flow as the Reference Action Type. However, the flow does not immediately appear in the Reference Action dropdown list and takes several minutes to become visible.

Could you please advise if this is expected caching behavior? If so, what is the standard propagation time I should expect? 

 

#Agentforce  #Flows

2 answers
  1. Khyati Mehta (InfinySkills) Forum Ambassador
    Yesterday, 4:26 PM

    Hello Amit, 

     

    Yes, this can happen due to backend synchronization/caching. Newly created Flows may take a few minutes before they become available in the Reference Action dropdown for a subagent. It’s not usually an issue with the Flow itself. There doesn’t seem to be a fixed guaranteed propagation time, but in practice, waiting a few minutes and refreshing/reopening the action configuration usually makes the Flow appear. Hope this helps!

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I have completed all the steps correctly in the https://trailhead.salesforce.com/content/learn/modules/use-employee-agents-to-get-work-done/navigate-guest-experience-bookings module (my last step to complete Agentblazer 2026 - go figure!). However, while the booking in "Cancel Miko’s Coral Bay Cruise Experience Booking" was completed correctly (I have screenshots), and then I follow the instructions to correctly in the "Book a New Session for Miko’s Family" with a "Confirmed" status for the booking (again, screenshots), the Agent continues to resolve with a "It seems there was an issue creating the reservation for the Magical Aquarium Tunnel Tour session" error preventing me from completing the module, my training and syncing correctly with Trailhead as I receive the following final error: "We can’t find a booking for Miko Mitsumi’s family of 5 for the Magical Aquarium Tunnel Tour Session with the status updated to 'Confirmed' or 'Completed'."

Please help resolve this before I collapse from exhaustion and frustration over Agentforce syncing issues when everything is showing correctly. :)

 

#Trailhead Challenges  #Trailhead  #Agentforce

1 answer
  1. Yesterday, 2:44 PM

     Hi Darren, 

     

    It sounds like the booking was created correctly, but the Trailhead verifier may not be picking up the booking as expected. I’d suggest trying the booking step again and making sure it is for Miko Mitsumi’s family of 5, with the Magical Aquarium Tunnel Tour session and the status set to Confirmed or Completed. 

     

    If everything looks correct and the verification still fails, it could be a syncing or Trailhead issue. If the issue persists, I’d recommend creating a Salesforce Support case so they can check the underlying booking data. 

     

    Hope this helps!

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Hi everyone,

I’m currently preparing for the Agentforce Specialist certification and I’m looking for the latest study materials and hands-on learning resources.

I tried a few courses on Udemy, but many of them seem outdated and some of the features shown in the videos are not available in my Developer Edition org. Because of this, I’m unable to complete several of the hands-on tasks demonstrated in those tutorials.

Does anyone know of recent training, hands-on labs, or updated videos that cover the current Agentforce features? Any guidance or recommended resources would be greatly appreciated.

Thank you! 

 

#Trailhead Challenges  #Agentforce  #Salesforce Admin

5 answers
  1. Mar 5, 8:22 PM

    Hi Prathyusha, I recently went through this certification myself and completely understand the frustration with outdated Udemy content. Here is a comprehensive, up-to-date study guide that actually reflects the current Spring '26 state of Agentforce: 

     

    OFFICIAL SALESFORCE RESOURCES (Most Important - Always Current) 

    1. Agentforce Specialist Exam Guide:

    help.salesforce.com

    - search "Agentforce Specialist exam guide" - study every topic listed 

    2. Trailhead Trail: "Get Ready for Agentforce" - this is THE official prep trail, updated regularly 

    3. Trailhead Trail: "Design and Implement AI Agents with Agentforce" - covers building, testing, deploying 

    4. Trailhead Module: "Agentforce for Admins" - foundational concepts 

    5. Trailhead Module: "Prompt Builder" - critical for the exam 

     

    KEY EXAM TOPICS TO MASTER (Based on Exam Guide): 

    - Agentforce architecture: Agents, Topics, Actions, Instructions 

    - Types of agents: Service Agent, Sales Agent, SDR Agent, Internal Agents 

    - Agent Builder vs Agentforce Studio 

    - How Topics and Actions work together 

    - Prompt Templates (Standard, Flex, Sales Email types) 

    - Grounding: what it is, how Data Cloud and Knowledge ground agents 

    - Testing agents in Agent Builder Preview pane 

    - Agentforce for Slack and Agentforce for Mobile 

    - Einstein Trust Layer: data masking, toxicity detection, audit trail 

    - Agent Analytics and monitoring 

     

    DEV ORG AVAILABILITY ISSUE (Your Main Problem) 

    Many Agentforce features require specific Einstein/Agentforce add-on licenses that the standard Developer Edition org does NOT include. Here is how to get proper hands-on access: 

    - Request a free Agentforce Developer Edition from:

    developer.salesforce.com/agentforce

    (look for "Agentforce Dev Org" - these have Einstein licenses included) 

    - Use Trailhead Playground orgs created specifically from Agentforce badges/superbadges - these provision the right licenses automatically 

    - Look for the "Quick Start: Agentforce" Trailhead project - it provisions a properly licensed scratch org 

     

    SUPERBADGES TO COMPLETE: 

    - "Quick Start: Build Your First Agent with Agentforce" (beginner) 

    - "Agentforce Service Agent" superbadge 

    - "Build Agents with Agentforce" trail 

     

    FREE LIVE RESOURCES: 

    - Salesforce Ben's Agentforce certification guide on

    Salesforceben.com

    (free, very current) 

    -

    Agentblazer.com

    - official community for Agentforce practitioners 

    - TDX (Salesforce TrailblazerDX) session recordings on YouTube - March 2026 content is very relevant 

     

    Avoid Udemy entirely for this cert - the platform moves too fast. Stick to official Trailhead and Salesforce Help documentation. 

     

    Good luck with the exam - it is very achievable with the right resources!

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Data 360 Document AI Resources

 

Product Documentation

 

 | Official Salesforce help documentation for Document AI 

https://help.salesforce.com/s/articleView?id=data.c360_a_document_ai.htm&type=5

 

Developer Documentation (APIs)

 

 | Technical API reference for developers implementing Document AI 

 

Agentic Enterprise Solutions Documentation

 

 | Documentation hub for Salesforce solutions 

 

Data Cloud - 256 (Summer '25) Technical Release Enablement - May 2025 

 

Start at 2:12:40 for Document AI content 

 | 

https://datacloud.hubs.vidyard.com/watch/8SWKymzCaKtdVYnjAAnywf

 

 

 

Start at 1:56:19 for Document AI content 

 |  

 

Document AI API - "Hello, World" GitHub Project

 

 | Sample code and API test application for hands-on experimentation 

 

Process Unstructured Data with Document AI 

 

 | Salesforce Developer blog on practical applications 

 

Rise of Intelligent Document Processing

 

 | LinkedIn article on industry trends and Document AI's role 

 

 Video / Demo

 

Documentation

 

 GitHub Repos

TDX Session 

 

@Ananth Anto

 

#Salesforce Developer  #Agentforce  #Data Cloud  #Trailhead  #Trailhead Challenges  #Salesforce

2 comments
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Aloha everyone! 

 

We're evaluating Salesforce's native Document Processing feature (under the Automations tab) as a replacement for MuleSoft IDP, which is a significant recurring cost for us and which we're barely using relative to what we're paying for it.  

 

  1. To use Document Processing, we had to activate Agentforce Agents. Does Document Processing usage draw from Agentforce/Data Cloud credit consumption, or is it billed/metered separately?
  2. Where can we actually see this consumption in our org? We can't find a clear place to monitor usage tied to Document Processing specifically.

Much mahaloz, 

Reno Redaja 

 

#Agentforce  #TrailblazerCommunity  #Salesforce  #Data Management  #Automation

1 answer
  1. Sep 11, 10:33 PM

    @Reno Redaja

     

     

    Document Processing runs as an Agentforce agent action, so it isn't on a separate meter - it draws from your Agentforce Flex Credits (the same metered pool your agent actions use, billed monthly in arrears). Data Cloud has its own Flex Credits for Data Cloud operations, but the agent-action invocation itself is Agentforce credits. 

     

    To see it, go to Setup > Digital Wallet - that's the central, near-real-time dashboard for Flex Credit consumption (agent actions, usage, balances). You won't find a line literally labelled 'Document Processing'; it shows up as the consuming agent's action usage, so read it there by agent/action. You can also add Consumption Threshold Alerts via a Flow to get notified as usage climbs. 

     

    If this helps, please mark it as the Best Answer so it helps the next person - thanks!

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Hi everyone,

I’m getting this error even though I’ve completed the Quick Start: Connect Your Agentforce Org with Slack badge and am using the same org. I’ve also double-checked the setup and everything seems to be configured as required.

Could someone please help me understand what I might be missing or what I should check?

Thanks in advance! 

 

Help in challenge: >Agentforce Configuration for Slack Deployment > Configure a Slack Agent in Salesforce

 

 

 

#Trailhead Challenges  #Trailhead  #Agentforce  #Agentblazer_Legend

1 answer
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Hello Guys, 

 

I am using accApi and trying to open an agent from LWC but facing issue as the agent is not opening only the agentforce window is opening - after that as i select the agent -conversation starts. 

 

So basically in the lwc  : 

1. i am calling   --  import { open, execute, close } from 'lightning/accApi';  

2. and after getting the agent id from my apex class i doing below :  

 

           

await open(this.resolvedBotId); // i am getting the id from apex.

            console.log('Agent panel opened successfully.');

            const utterance = "Start";

            await execute(utterance, this.resolvedBotId);

            console.log('Agent successfully invoked with utterance:', utterance);

 

But i can open the agent window but proper agent is not selecting. 

 

#Agentforce  #LWC  #AgenticAI

6 answers
  1. Sep 11, 4:28 PM

    @Manas Datta

     

     

    Thanks for testing that - a correct id still landing on the bare panel actually rules the id out and points to an enablement gap. open() drives the SAME native Agentforce side panel you'd get manually, and botId is only optional targeting - if that agent isn't the one wired to the panel for your running user, open() falls back to the default panel/picker no matter which id you pass. 

     

    Quick way to confirm: open the native Agentforce panel manually (the Agentforce icon, not your LWC). If it also drops you on a picker or the wrong agent, it's the setup, not your code - check the agent is Active, is the one enabled for the Agentforce panel in that org, and your running user has access to it (permission set + the agent's assigned users). Fix that and open(botId) will land on it. 

     

    If you need a specific agent guaranteed every time regardless of the panel, skip accApi and use the Agent API instead (Connect REST /einstein/ai-agent, or its Apex wrapper): you start a session against the exact agent id server-side and render the replies in your own LWC chat UI - no panel, no picker, fully deterministic.

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