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[Day 1 of my daily series] Summer '26 drops in 5 days — how are you approaching

Multi-Agent Orchestration?

 

Hey everyone — first post from me in this community. 

 

I've been a Salesforce consultant for 10 years, specialised in Sales and Service Cloud

implementations, and I've honestly never contributed much here. I'm fixing that by committing to

share one practical Salesforce insight daily. 

 

Today's topic: Multi-Agent Orchestration in Agentforce, shipping with Summer '26 on June 15.

The feature is genuinely exciting — agents working together as a team, with shared context, routing,

and escalation built in. The demo use cases look clean. 

 

But I'm curious how practitioners here are thinking about governance. In my experience, the hardest

part of Agentforce isn't building it — it's owning what happens when it does something unexpected.

Multi-agent adds new dimensions to that problem: 

 

• How do you audit which agent made a specific decision?

• What happens when Agent A passes incorrect context to Agent B?

• Who owns the escalation path when the whole agent chain fails? 

 

Are you planning to implement Multi-Agent Orchestration in Summer '26, or waiting to see how it

matures first? 

 

Would genuinely love to hear how others in the community are approaching this — this is as much a

learning exercise for me as it is a sharing one. First of many posts from me here  

 

#Agentforce #Salesforce Admin

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The new Ask Agentforce / Coworker seems excellent.  We've set it up for a pilot group in our org and it seems to be really powerful.  Great UI and should be able to hand-off to other Agents you build.  Makes for a much better AI experience on early testing. 

 

However, we're unable to fully set it up and as a Beta product it's tricky to get support so wondering if anyone has any recommendations or

@Joel Primack

if you have any way of passing on contact to the product team. 

 

Standard search funcitonality seems to work really well.   It can access our org metadata to figure out what a pilot user is asking about, retreive matching records. 

 

However, when it needs to either query by owner (what tasks do I have due today?) or needs to hand off to an agent users get an error.   

 

e.g. 'It looks like the current session isn't authorized to access your user details right now — I'm getting an

INVALID_SESSION_ID

error, which means the session may have expired or doesn't have API access enabled.' 

 

I've checked the recommended settings.  I suspect it may be due to us having API Access Controls enabled in our org and there may be an Oauth policy I need to configure but I can't find any documentation to help with this. 

 

I'd love to be able to use this new Coworker experience before we start extending access and rolling our our agents so any help very much appreciated.

#Agentforce 

답변 2개
  1. 오늘 오전 6:20

    Thanks Abaid, yes like you I suspect API access controls are to blame. There’s not an obvious App listed as being restricted under the OAuth policies. It may be a session-locking issue if the requests are coming from a different domain than users originally authenticated to. 

     

    I’ll keep my fingers crossed that the product team can help. Honestly it is such a big improvement on how users experience Agentforce we’re really looking forward to testing it properly with the pilot.

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댓글 2개
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Trailhead Tuesday! 

 

Everyone starts somewhere with AI. 💙 

 

The new AI Foundations Trail on Trailhead is built for beginners and makes it easy to kick off your AI journey with hands-on learning, approachable content, and practical skills you can build on over time. 

 

📊 Data Literacy: Explore, understand, and communicate with data. 

  

⚙️ Automation Logic: Learn about autonomous workflows. 

 

⚖️ Responsible AI: remove bias from your data and algorithms. 

  

✨ Agentforce: A first look at building with autonomous agents. 

 

Work through real scenarios in your own free Salesforce environment and build a solid foundation before you begin your Agentblazer Journey. 

 

Get started with AI now!

 

Trailhead Tuesday! Everyone starts somewhere with AI.

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I have hundreds of customer surveys in my Salesforce (in a custom object Customer Survey) 

Is it a good idea to create an agent to analyse for exemple the 500 surveys of this quarter in a single shot ? 

My marketing team is asking for that. 

Or shoud I use another tool ?

답변 6개
  1. 6월 3일 오전 10:47

    @Hugues Raguet I would not use Agentforce to analyze 500 survey records in one single shot.

    Agentforce is better for guided, contextual work: answering a user’s question, summarizing a specific customer/account, helping a rep take action, or analyzing a controlled set of records. For bulk survey analysis, you can quickly run into prompt size, performance, cost, governor-limit, and consistency issues. Salesforce Prompt Builder also has limits, including a maximum prompt template size of 128,000 characters, so pushing hundreds of survey responses into one prompt is not a stable design.  

    Check:  Salesforce Help

      

    A better architecture is to process the surveys in batches. For example, use Flow, Batch Apex, Data Cloud, Tableau, or CRM Analytics to prepare the dataset first. Then use AI to summarize smaller chunks, such as per Account, per product, per region, or per month. Store those summaries or sentiment/theme fields back on records, then let Agentforce answer questions from that prepared/grounded data. 

     

    Salesforce has a survey feedback summarization use case that follows this kind of pattern: summarize free-format survey feedback using Flow-grounded prompt data, rather than asking an agent to analyze every raw survey in one huge request.  

    Check: Analyse Survey Feedback | Salesforce AP

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So I want to use prompt builder to read a text selected Open AI GPT 4 model which uses 1000 tokens to produce result. How will it be billed either by license or usage by using flex credit. 

 

#Agentforce #Salesforce @PromptBuilders

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Episode 1 Challenge

 

If someone ran Org Check on your Salesforce org right now without warning. 

what's the one thing you'd be quietly hoping they don't find? 

 

The field nobody knows the purpose of. 

The Apex class with no test coverage. 

The permission set that grants way too much. 

The Flow that runs daily and whose logs you've never checked. 

 

Mine: a Workflow Rule that's been active since 2011 on an object that nobody uses anymore. Still firing. Every save. For no reason. 

 

What's yours? 

 

#NoClicksJustVibes #DeFraggingTheFrankenOrg@Salesforce Developer Group, Dubai, UAE @WFD Partner Cohort: TDX2630DaysChallenge @Agentblazer Community Group @* Salesforce Developers *

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🆕 Trailhead Quest: Agentic Workflow Automation — Now Live!

 

Ready to build with AI? The Agentic Workflow Automation Quest is live all month — and we want to see what you create. 

 

What you'll do:

  • Complete the Trailhead trailmix
  • Build an agentic workflow using Prompt Builder + Agentforce Grid
  • Share your use case via the Google Form

 

🏆 Enter for a chance to win* 1 of 65 Salesforce certification vouchers. 

🗓️ Deadline: May 31, 2026 

 

 👉 Start the Quest

 

*Restrictions apply.  

 

See Official Rules. http://sfdc.co/bP7smx🆕 Trailhead Quest: Agentic Workflow Automation — Now Live! Ready to build with AI? The Agentic Workflow Automation Quest is live all month — and we want to see what you create.

댓글 9개
  1. 6월 8일 오전 6:58

    Hi @N R it's isn't like that a list will be coming, if u are one of them u will receive a mail , if not then u're not the winner .

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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

답변 5개
  1. 6월 8일 오전 6:35

    As being said, the variable must be populated before

    you use it in action. To set a variable, use this notation: 

     

            actions:

                set_start_date: @utils.setVariables

                    with startDate = ...

     

    Instructions should tell the LLM what date is expected and its format. 

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RSVP : https://trailblazercommunitygroups.

 

RSVP :

https://trailblazercommunitygroups.com/events/details/salesforce-salesforce-developer-group-dubai-uae-presents-de-fragging-the-franken-org-session-2-the-attic-nobody-wanted-to-open/

 

 

Your Salesforce metadata is the DNA of your org. Custom fields, Apex classes, Flows, Validation Rules, Profiles — every piece of configuration tells a story. After 10 years? Some of those stories are concerning. 

 

In this session we go through the Metadata Lens — identifying what's deployed, what's dead weight, what's dangerous for Agentforce agent actions, and what needs to be cleaned or restructured before you build on top of it. 

 

What you will learn: 

 

  • The 6 metadata categories that matter most for Agentforce readiness
  • How to run Salesforce Code Analyzer for static code analysis — find severity-1 violations before they break your agent actions
  • The Safe Deletion Protocol — how to remove unused metadata without causing a 3am production incident
  • Why Unlocked Packages are the 2026 standard for metadata organization and how to create your first one
  • Apex code quality standards specific to Agent Actions — what must be fixed before your code becomes agent-callable
  • How to prioritize technical debt: fix now vs. fix before Agentforce vs. backlog
  • Tools Covered: Salesforce Code Analyzer (CLI plugin), OrgCheck , Salesforce CLI metadata commands, Unlocked Package creation

Who Should Attend: Salesforce Architects, Developers, Senior Admins managing legacy org technical debt 

Prerequisites: Session 1 recommended but not required. Basic understanding of Salesforce metadata helpful. 

 

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

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