Try for free
The Brain Language Podcast
The Brain Language Podcast

EP #96 The NLP Anatomy Of Illness And Recovery

05 May 2026 1:06:17 Susan Stageman, Morgan Jobe, James Lusk, and others

Listen to episode

About this episode

Send us Fan Mail

We break down illness as a structured experience and show how NLP tools can help you move from diagnosis shock to a clear path toward health. We connect outcomes, beliefs, emotions, and self-efficacy so you can stay engaged through plateaus and make better decisions with your health team. 
• defining a well-formed outcome and desired state for health 
• using neurological levels to map where the problem lives 
• changing submodalities to shift state and motivation 
• understanding the Bandura Curve and why healing plateaus happen 
• building patience for slow feedback cycles like scans and blood work 
• choosing to move toward motivation instead of moving away
• using timeline work and redecisions to update old patterns 
• becoming an active participant through research and additional tests 
• using visualization and future pacing to stay oriented to recovery 
• treating optimism as a realistic expectation plus sustained effort 
• managing stress, emotions, and releasing resentment through forgiveness 
• strengthening self-efficacy to persist through setbacks 
Subscribe to our show on iTunes or your favorite listening platform to keep up with our newest episode. 
Be sure to visit our website, www.nlptraining concepts.com, and find us on Facebook,  LinkedIn, and TX by searching NLP Training Concepts to keep up with free resources, upcoming training, and fantastic content. 
Please check the website or send  an email to susan@ nlptrainingconcept.com, and I will be happy to put you on the list to let you know when it's scheduled.


Support the show

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 The Brain Language Podcast. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support