Introduction
You've completed the orientation, the conditions library, the statistics, the toolboxes, and the role-specific guides. The final lesson hands you the tool you'll use the most after this course is over: the AI Companion.
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Lesson 10 of 10 ~8 min
Putting It Together: Your AI Companion
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Putting It Together: Your AI Companion
Learning Objectives
- Use the AI Companion to answer your own neurodiversity questions in plain language.
- Save responses for your learning journey.
- Identify one next step beyond this learning path.
What the Companion is — and isn't
The Companion is a research-informed educator. It answers questions in plain language using the same strengths-and-supports framing you've learned in this course. It is not a clinician. It does not diagnose. It does not replace lived experience or professional support. It is excellent for: clarifying a term, drafting language for a hard conversation, suggesting accommodations to try, and helping you think through a specific situation.
How to use it well
The quality of the answer depends on the quality of the question.
- Be specific about the situation, not the label. 'My ADHD coworker won't respond to messages' produces a generic answer. 'A coworker who often misses messages is now missing deadlines and I'm responsible for the project' produces a useful one.
- Name what you've already tried.
- Name what outcome you actually want.
- Save the response if you want to come back to it.
What's next
Completing this path is a starting line, not a finish line. Three concrete next steps: (1) revisit the one strategy you committed to in Lesson 6, (2) share one insight from this course with one person this week, and (3) come back when a real situation arises — that's when the material actually starts working.
Key concepts
- Research-informed educator
- The Companion's role: clarify, suggest, and frame — not diagnose or treat.
- Specific-situation prompt
- A question framed around the actual circumstance rather than a diagnostic label, which produces a more useful answer.
- Save to Learning Journey
- Persisting a Companion response to your member dashboard so you can return to it.
- Practice loop
- The cycle of bringing real situations, applying suggestions, and returning with results — the real engine of growth after this course.
Case study
Hard-conversation script
Sam asks the Companion to draft language for telling his manager about a sensory issue. He edits the draft, uses it, and reports the conversation went better than any he'd had.
Takeaway: Drafting in low stakes preserves bandwidth for the real moment.
Explore deeper (opens in new tab)
Open the AI CompanionThis opens in a new tab so you don't lose your place in the lesson.
Explore related references
Your lesson progress is saved — these links open the relevant reference page so you can return here any time.
Activity
Bring one real situation
Open the AI Companion and bring one real situation from your life or work. Use the question pattern from this lesson: situation, what you've tried, what outcome you want. Save the response to your Learning Journey.
Ask the AI Companion
Tap a prompt to open the AI Companion with it pre-filled. Choose a learner profile above for more tailored suggestions.
- Rewrite a hard conversation
I'm a learner. I need to have a conversation about ____. Draft a short, direct opening and three possible responses to common pushback.
Open in Companion - Plan an accommodation experiment
I'm a learner. Help me design a one-week accommodation experiment for ____, including the success measure I'll use to decide whether to keep it.
Open in Companion - Rewrite my learning intention
I'm a learner. My original intention from Lesson 1 was: ____. Help me rewrite it now that I've completed the path, making it more specific and actionable.
Open in Companion
Reflection
Saved- Look back at the intention you set in Lesson 1. How would you rewrite it now?
- Who is the one person you want to share this learning with this week?
- What real situation will you bring to the Companion first?
Knowledge Check (optional)
Scholarly references & further reading
- National Academies of Sciences, Engineering, and Medicine. (2024). Translating Research on Neurodiversity into Practice. The National Academies Press.
- Crompton, C. J., Sharp, M., Axbey, H., Fletcher-Watson, S., Flynn, E. G., & Ropar, D. (2020). Neurotype-matching, but not being autistic, influences self and observer ratings of interpersonal rapport. Frontiers in Psychology, 11, 586171. link