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Whether it's reviewing user stories (sniff test) or monitoring the planning (feeding schedule), Guus ensures focus and fun in the team.

This is a test page – but who knows, Guus might get his own section soon 😉

Let's meet and see how we can take your Salesforce environment further together.

Need moral support too?

Meet Guus, our new freelance dog at CRM Force.

Guus is our new freelance dog. Always enthusiastic, always ready for a walk and especially a star in moral support during every sprint.

Meet

Guus – our freelance dog | CRM Force

Let's meet and look at your organization's Salesforce maturity together. Where is the biggest opportunity?

Where does your organization stand?

AI becomes standard, the role of consultants changes, and control shifts to companies that understand it themselves. Our perspective on what's going to change.

The future of Salesforce: what changes by 2030?

Salesforce grows faster than the understanding in your organization. Who decides on changes? What if your specialist leaves? We help organizations regain control. Not by taking over, but by building structure and knowledge within your team.

Salesforce under control.

Finally.

Automate processes in a way that remains understandable and maintainable. No spaghetti, just structure.

maintainable flows

Process automation

Implementations where structure and understanding are embedded from day one. No black box, but an environment your team understands.

with governance built-in

Salesforce implementation

Connect Salesforce with your other systems. Robust integrations that are documented and maintainable.

manageable data flows

Integrations & connectivity

Flow sprawl? Unclear automations? We bring structure and documentation — so you regain control.

tackling technical debt

Optimization & management

Clear decision-making about Salesforce. Who decides what? How do you manage changes? We help set up the structure.

establishing governance

CRM strategy

Internal consultants, admins and key users who understand what's happening in Salesforce. The foundation of maturity.

building understanding

Training & adoption

What we

Every service contributes to the same goal: increasing your organization's Salesforce maturity. More control, better governance, and a team that understands what's happening.

Flows and processes that are documented and understood. No sprawl, just structure.

Manageable automations

External specialists are deployed effectively because your team knows what's needed and can participate in decisions.

Targeted external deployment

Clear decision-making about changes. Who decides what? How are modifications tested and deployed?

Clear governance

Internal people who understand what's happening in Salesforce. From admin to key user — everyone understands the basics.

Understanding in your team

What is Salesforce

maturity

A mature organization has control over Salesforce. Not just technically, but also in how decisions are made and knowledge is preserved.

Agentforce Vibes is

Agentforce Vibes is not

In summary

Conclusion: context is everything

Need help cleaning up your org?

What Agentforce Vibes sees vs. what you mean

Managed packages: the invisible pitfall

Concrete example

Old triggers and Process Builders that nobody understands anymore

Deprecated code and flows

Account_Legacy__c next to Account, or multiple versions of the same data

Duplicate objects

Status, Status__c, StatusCode, Status_New__c mixed together

Inconsistent naming

Old integrations that still contain objects and fields

Unused managed packages

Typical org clutter that confuses AI

The problem: your org is the context

Let AI write the standard trigger handlers and test classes. Focus on the business logic.

Less boilerplate

See immediately how Apex patterns work. Ask for explanations on any line. Learn by doing.

Learn faster

A working concept in minutes. Validate ideas before investing in full implementation.

Prototype faster

The real value of Agentforce Vibes

Remove unused managed packages, deprecated fields and old Process Builders. The cleaner your org, the better the AI context. Use Salesforce Optimizer or a third-party tool to identify clutter.

Clean up your org first

Specify exactly which objects and fields you mean. Not: "Create a trigger for Accounts". But: "Create a trigger on the standard Account object (not custom) that updates the Description field on insert."

Be explicit in your prompts

Never blindly accept what the AI generates. Check object API names, field names, and SOQL queries. Understand what each line does before deploying. If you don't understand it, ask the AI to explain.

Review every line of code

Always work in a Developer or Full sandbox first. Use realistic test data and validate that the code does what you expect. Only deploy to production after thorough testing.

Test in a sandbox

Record which code is AI-generated and which is manual. This helps with debugging and maintenance. AI code sometimes has subtle bugs that only surface later.

Document your choices

5 tips to use Agentforce Vibes safely

What it can do

How it works

What exactly is Agentforce Vibes?

Avoid

Ideal situations

When Agentforce Vibes does work

Agentforce Vibes: When It Works and When It's Risky

Explaining what existing Apex does:

Interpreting Apex error messages:

Explaining the structure of a class or trigger:

Help with debugging:

Help formulating test scenarios:

What you can do with ChatGPT and Apex

For Apex generation: use Apex Studio Builder or Cursor

ChatGPT + Apex: what works and what doesn't

Why not ChatGPT for Apex generation?

Apex Studio Builder:

Cursor with extras

Clearly stated

The difference: Apex Studio Builder = Cursor + Salesforce-specific features

Practice example: optimizing a SOQL query

What makes Apex Studio Builder unique?

None: no diff, no version control, no control

Why Apex Studio Builder is the winner in practice

What ChatGPT does

Core message

Important nuance

ChatGPT: thinking aid and analysis

The most important advantage: diff view

Writing and modifying Apex:

Refactoring existing code:

Creating test classes:

Code review and optimization:

Cursor: building and modifying

ChatGPT vs Cursor: clear role division

AI is changing Salesforce, but it doesn't replace common sense. ChatGPT is a fantastic assistant for those who understand the basics. Use it not to hand off work, but to come up with better solutions — faster, smarter, more consistent.

Conclusion

Explicitly ask for uncertainties

Always ask why

Draw the final conclusion yourself

Guidelines for critical use

Why AI is sometimes wrong (but doesn't make it clear)

The problem with AI certainty

Practical tip

Handling AI output critically

Functional consultant

Junior consultant

Technical developer

Why experience matters more than ever

Frequently asked questions about Salesforce AI and ChatGPT

AI helps

You build

Salesforce executes

Flow + AI = hybrid collaboration

Safer alternatives

Honest about limitations

Stop when in doubt

Warn in advance

Practical prompt for ChatGPT personalization

Personalizing ChatGPT for better advice

Why personalization is useful

The developer remains responsible

Important lesson

Limitations of AI in Apex code

What you must do

Even if you ask to modify just one line, AI often generates a <strong>complete refactor of your Apex class</strong>. This creates risks: lost logic, changed method signatures and difficult regression. Small instructions regularly lead to unexpected changes in working code.

AI often rewrites the entire class

Sandbox-first work protects you

Why testing in sandbox remains crucial

No Flow context:

Wrong assumptions:

Happy path only:

Bulkification missing:

Typical problems with AI test code

The problem with AI-generated test classes

The practice: why AI and Apex is more complicated than it seems

What goes wrong

Best practice: make anonymization a habit

Combined data

What you never put in AI tools

Personal identification

Practical anonymization techniques

Privacy & data security: why this is crucial

Important warning

AI is good at…

Translating user requests into logic:

Advice on object structures:

Explanation about Apex, SOQL or CMDT:

Documenting Flows:

Brainstorming about automation strategy:

AI is less good at…

Where AI does excel

The truth: ChatGPT doesn't always understand Salesforce

Tip from practice

Where AI is (still) less effective

Practical example: anonymizing

Gather facts

Always remove:

Anonymize all personal data

Workflow: from error → analysis → solution

Be explicit and critical about your own reliability and limitations.

If a task requires:
- high accuracy or flawless execution,
- exact data transfer or processing,
- decisions with financial, legal or operational impact,
- or depends on complex, unstructured or context-sensitive input,

then you must:
1. Indicate upfront whether you can execute this reliably.
2. When in doubt or after 1-2 errors, explicitly stop and state that.
3. Suggest a safer alternative (e.g., approach, step-by-step plan, validation or manual execution).

In such cases, do not continue with assumptions, filled-in examples or "best guesses".

I prefer an honest acknowledgment of limitations over seemingly complete but possibly incorrect output.

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