Build Better Context

Use REFINE Q, relevant sources, examples, procedures, constraints, and a quality rubric to give the model a useful working environment.

Draft by Interviewing

Ask the model to interview you, surface missing context, and produce a staged draft that reflects your expertise and intended audience.

Verify Before You Use

Challenge the draft, check source claims, review downstream impact, and decide whether to use, adapt, route, rebuild, or discard it.

About the Course

Useful AI drafts do not come from a single clever prompt. They come from a working context, an iterative conversation, and a practitioner who knows what to question and verify. This self-paced workshop helps recreational therapists and community-based support professionals build a reusable context environment with REFINE Q, use reverse interviewing and staged drafting, challenge the output, check grounded sources, and make a deliberate decision about what is ready. Learners work through fictional cases and the Draft–Question–Check Loop. AI output remains a draft until a qualified human evaluates the content, source fit, professional voice, and downstream use. All lessons in the curriculum are included with free enrollment; no purchase is required.

Tyler Neimeyer, MS, CTRS

Tyler Neimeyer, MS, CTRS

Tyler Neimeyer is a Certified Therapeutic Recreation Specialist and the founder and instructor at Community Practice Institute. He develops practical, person-centered education for recreational therapists and community-based professionals, drawing on experience in community participation, disability services, and interdisciplinary practice. His teaching emphasizes useful decisions, clear role boundaries, and tools learners can carry into real settings.

Curriculum

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Course Details and Boundaries

Use these boundaries to keep the workshop practical, source-aware, and professionally accountable.

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Online and self-paced. Includes six narrated lessons, embedded activities, a final knowledge check, one optional discussion, and an optional course evaluation.
Course format

All practice stays inside the course.

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A grounded workspace limits the model to supplied or connected sources for a task, but grounding does not remove the need to inspect source quality and whether the output actually follows them.
Grounded work

Source fit still matters.

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Use fictional, de-identified, or otherwise approved information. Protected health information and sensitive client information do not belong in an unapproved AI workspace.
Information boundary

Practice with safer material.

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AI output remains a draft or suggestion. Check accuracy, fit, authorship, policy, and downstream impact before deciding whether it is ready.
Human decision

Review before relying on it.

Build a Draft You Can Defend

Use this workshop to create a context-rich draft, challenge it, verify what matters, and make an explicit decision about what is ready for use.