The AI Preceptor is a practical learning resource for nurses and healthcare professionals who want help turning the promise of AI into something useful in their work.
Here, you'll find clear guidance, practical tips, realistic examples, and help troubleshooting responses that miss the mark. You'll learn how to get more useful results, what to check before using or sharing them, and how to decide where AI may realistically support your work.
The goal is not to make you a technical expert. It is to help you understand the process, ask better questions, and get more value from the tools available to you.
The AI Preceptor is for nurses and healthcare professionals wherever they are in their experience with AI. You may be new, skeptical, already experimenting, or responsible for supporting AI use in your role or organization. The content is grounded in nursing and also relevant to educators, clinical leaders, informatics professionals, allied health professionals, students, administrators, and others whose work includes healthcare communication, education, projects, preparation, organization, or workflows.
You can begin without prior experience. The materials explain what to enter, what to leave out, how to review a response, and what to try when the first result misses. Free resources can also help you understand terminology, workplace access, and policies before you open an AI tool.
The AI Preceptor contributes a nurse-led, application-focused approach for healthcare professionals who want to turn AI knowledge into practice. You may have seen the promises: AI can save time, improve quality, and make work more efficient. What is usually not shared is how. The AI Preceptor teaches the part between the prompt and the useful result. It is not another AI application or automation platform. It teaches practical skills you can apply with the tools available to you.
Built on familiar work. Lessons start from recognizable healthcare tasks and from what you are trying to accomplish, not from abstract AI concepts.
Complete workflows. What happens before and after the first prompt: preparing the task, refining the response, checking it, and finishing the work. The format, whether a message, a table, a chart, or a presentation, is chosen near the end, after the goal is clear.
Prompts with reasoning. The prompts, steps, and explanation needed to adapt the process rather than simply repeat it.
Verification inside the process. Responses reviewed against sources, context, audience, workplace policies, and professional judgment, using the AI Safety Check.
Transferable skills. Habits that can be carried across tools, roles, workplaces, and future changes in technology.
Support that continues. The aim is growing confidence and capability, with new resources, updates, and guidance available as AI in healthcare keeps changing.
Because AI changes quickly, training materials can begin to feel outdated soon after they are released.
The core skills taught here, such as how to frame a task for AI, evaluate what comes back, iterate, and verify, are designed to transfer across tools. These core habits can remain useful as models, tools, and workplace access change.
Resources are dated and designed to be reviewed as tools, policies, and guidance change. Future updates will also be informed by questions and feedback from nurses and healthcare professionals.
The AI Preceptor draws on guidance published by nursing and other healthcare professional organizations, government agencies, regulatory and standards bodies, and interprofessional groups. Across these sources, recurring priorities include privacy protection, human oversight, verification, attention to bias and context, and continued professional accountability.
These principles are built into the lessons and workflows. Verification is taught as a structured step, including reviewing AI responses against the original source, intended audience, workplace policies, and the professional’s own knowledge and judgment before anything is used or shared.
The lessons also reinforce that access to an AI tool does not mean every feature, task, or type of information is approved. Examples use fictional information, and learners are reminded to follow current organizational policies, confirm permitted uses locally, and protect patient, confidential, and workplace-sensitive information.
Visit the Resources page for additional safety and guidance materials, including the free AI in Healthcare Guidance Links resource, which brings selected original sources together in one place
Free resources are available at no cost.
Guides start at $34.
Custom Project Support starts at $75.
One-on-one coaching is $150 per hour.
Larger projects, workshops, and consulting are priced by written proposal, and the price is confirmed before work begins.
No. The AI Preceptor is an independent, nurse-led brand. The content is not affiliated with, endorsed by, or representative of any government agency, healthcare organization, or employer. The views and content are solely those of the founder.
You may decide not to use AI in your own work, or you may not have access to an approved tool. You may still need to respond when a patient, family member, learner, or colleague brings you something AI produced. The goal is not to assume AI is always right or always wrong. It is to help you evaluate what it gave them, respond constructively, stay within your role, and know what needs independent review or the right next step.
Yes. The AI Preceptor offers workshops and consulting for healthcare teams, private practices, educators, leaders, and professional groups.
Support can take different forms depending on where your team is starting. You may be looking for practical AI education, guided practice using familiar work, support with upskilling or reskilling staff, or help exploring a workflow, communication challenge, or proposed AI use.
The process begins by learning what your team is experiencing, what questions people are asking, which tools and policies apply, and what you are trying to better understand or improve. From there, we can explore whether a workshop, consulting support, or another next step would be useful.
The same preceptor approach applies throughout practical demonstrations, guided practice, troubleshooting, structured review, and attention to professional judgment, workplace requirements, and the realities of your team’s work.
You do not need a complete training plan or a fully defined solution before reaching out. Schedule a free 20-minute discovery call to talk through what your team is experiencing, what you are trying to understand or improve, and what kind of support may be helpful.