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AI ToolkitBeta
All techniques

Foundation

Chain-of-thought reasoning

Ask the model to think in visible steps before answering. Better on analysis, planning, and multi-part questions.

How it works

Modern models reason better when you make thinking explicit. Prompt them to lay out assumptions, then commit.

Example prompt

Before answering, list the trade-offs you are weighing and why. Then give your recommendation for our volunteer rota policy.
YMCA AI Adoption Toolkit

A practical library, guided context and safeguards so YMCA staff, volunteers and young leaders can use AI safely, confidently and locally.

Aligned with YMCA Vision 2030. Human review, always.

Toolkit

Your work

Safeguarding

    Never enter identifying information about children, health or safeguarding cases into any AI tool. AI drafts, humans decide.

This toolkit is in beta. Its content was created with AI assistance and may contain errors — review outputs carefully, use your judgement, and follow your organisation's policies.

© 2026 YMCA AI Adoption Toolkit

Adapt every prompt to your local YMCA.