You're not lazy- your STUCK

What if real change is not about adding more motivation, more information, or another plan?

Sometimes the shift begins when you stop repeating the thoughts, habits, reactions, and patterns that no longer match the life you are trying to build.

In this episode, Sheryl Gomes unpacks the idea of “fire yourself” in a practical and constructive way. This is not about rejecting who you are. It is about releasing the old version of your habits, mindset, and automatic reactions so you can move forward with more clarity, discipline, and intention.

What if you are not stuck because you are weak... but because your nervous system is still living in the setback?

In this episode, I break down what really happens to your brain and body after disappointment, rejection, failure, or overload — and how to reset so you can move forward with clarity. We talk about nervous system regulation, emotional regulation, stress responses, neuroplasticity, and the practical steps that help you stop spiraling and start responding differently.

If you have ever felt frozen, overwhelmed, reactive, discouraged, or like you should be “over it by now,” this episode is for you.

In this episode:
• why setbacks hit deeper than we realize
• how stress affects the brain and body
• the difference between being lazy and being dysregulated
• how to reset your nervous system in the moment
• how to reframe the story and rebuild momentum

Your setback may have shaken you, but it does not have to shape the rest of your life.

Your mind is being shaped every day—whether you realize it or not.

In this episode, we break down entrainment and how your environment, inputs, and repeated exposure are quietly programming your thoughts, behaviors, and identity.

If you feel stuck in patterns you cannot explain, this is where it starts to make sense.

You will learn how to become more aware of what is shaping you, how to interrupt negative conditioning, and how to intentionally reprogram your thinking to support real change.

Transformation is not random.

It is trained.