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The best of the Salesforce ecosystem, filtered for you every week by Grzegorz Skaruz, plus the articles the ORGanizer community suggests. Vote for what matters to you and say what you think of it.

Issue · #196 23 articles · sent Tue Oct 20 · here since Thu Oct 22

10 Claude Use Cases for Admins, Red Team Agent: Native Pen Testing Coming

From the curator, Grzegorz Skaruz: It's already Tuesday evening here in Poland, but I made it in time. Another week, another pile of Salesforce news to sort through. Read the whole note

It's already Tuesday evening here in Poland, but I made it in time. Another week, another pile of Salesforce news to sort through. This edition leans heavy on AI, no surprise there. Claude keeps popping up everywhere, including some genuinely useful ways admins can start using it daily (with the usual caveat: don't blindly trust what it spits out). Then there's the native Red Team Agent Salesforce announced at Dreamforce, which could finally make penetration testing less of a luxury for orgs that never had the budget for it. Winter '27 is live too, and it's not one flashy headline feature this time but a bunch of smaller wins across data, security, and Flow Builder worth sharing with your team. And if you're using MCP or building AI agents, you'll want to know Salesforce is about to start charging for that access through Flex Credits. Worth understanding before November. Dig in below.

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  1. Salesforce Insights in 5 MinutesIssue #196For AI enthusiasts

    Agentforce Named Agents: What Casey, Paige, Carter, Hunter, Marshall, Piper and Fin Actually Do

    Salesforce dropped seven ready-made AI agents at Dreamforce instead of making you build your own from scratch. Casey covers customer service across voice, SMS, WhatsApp and chat - low risk since it's internal-facing. Carter lives in Commerce Cloud, helping shoppers compare products and check out. Fin tackles messy, multi-channel customer experience tasks - the vaguest job description of the bunch, but also the most interesting one to watch. The bigger point: these prebuilt agents come with built-in assumptions about how work should get done, so they'll click with some companies and clash with others. Worth checking what each one needs, what's actually live now vs. coming later, and where it's smarter to skip them.

    ashapurasoftech.com 0 comments 0 reads Read the article

  2. Salesforce Insights in 5 MinutesIssue #196For AI enthusiasts

    How to Handle Date Time in Salesforce Agentforce?

    Date time is a classic headache for Agentforce agents. The fix needs three things: the agent must know the user's time zone, grab the date without asking for it directly, and send a clear, unambiguous value to the action saving the record. Miss one, and a 3 PM meeting ends up saved at 11 AM. The tricky part - users say "tomorrow at 3 PM," but Salesforce stores everything in UTC, with an LLM stuck in between. Without guardrails, the agent might ask "which time zone?" or send a broken value to your Flow. This post shows a real working Agentforce Employee Agent (built in Agent Script) that creates Events correctly - using user profile context, smart reasoning instructions, and the lightning__dateTimeStringType input. Full code included, with tips at the end.

    infallibletechie.com 0 comments 0 reads Read the article

  3. Salesforce Insights in 5 MinutesIssue #196For AI enthusiasts

    Your Team Knows Which Salesforce Fields to Ignore. AI Doesn't.

    Most teams think "AI-ready data" just means clean data - no duplicates, no blanks, consistent formats. That's not the real issue. The real question nobody asks is: does every field an AI reads still actually mean something to someone? Most companies can't answer that, because humans have always just known which fields to quietly ignore. AI doesn't know that - so it reads everything, including the junk, and confidently gives wrong answers.

    theskyplanner.com 0 comments 0 reads Read the article

  4. Salesforce Insights in 5 MinutesIssue #196For AI enthusiasts

    Salesforce Aiforce: How It Works, Features, Architecture, Use Cases

    Salesforce AIforce is basically Salesforce's way of bringing its data, AI, automation, and business tools to wherever people actually work - not just inside the main Salesforce app. Think AI assistants, chat apps, custom tools, or AI agents - AIforce lets Salesforce power show up there too. The whole point: work tools should meet you where you are, not the other way around. It's not one single product but more of a strategy, and it still keeps all the usual security, permissions, and rules intact.

    mytutorialrack.com 0 comments 0 reads Read the article

News in this section is curated by Grzegorz Skaruz for his weekly newsletter, Salesforce Insights in 5 Minutes. Devs, admins and architects get the full issue every Tuesday - free, no spam, unsubscribe anytime.