Design a Teaching Game Loop

Design one loop that teaches one outcome. A design is output. Learning remains unproved.

Use when. A learning outcome and owner are accepted, but the loop is not designed.

Do not use when. The learning outcome or owner is missing, or you want the model to ship the game.

Your input. Learner and learning outcome; permitted actions; failure that should teach; constraints; named owner.

Your quality check. Action, feedback, and the learning check agree. Release stays blank.

Put this to work

Prepare one teaching loop

For the named design owner

Copy this prompt. Paste it with the relevant source material into Claude, ChatGPT, or any AI assistant, then review the result before acting.

# Role and job
Help a named human owner prepare one Teaching loop design for Design a Teaching Game Loop.

# Outcome
Produce one Teaching loop design. Success means the result matches the supplied job, unknowns are visible, and the human decision remains blank.

# Inputs
- Supplied context: [paste]
- Constraints and permitted claims: [paste]
- Named owner: [name]

# Boundaries
You may draft, compare, and expose gaps. Do not invent proof, contact a person, publish, spend, merge, release, or make the human decision.

# Output
Return the Teaching loop design; assumptions; unknowns; risks; and the exact human decision required.

# Stop and recovery
Stop when the owner, the job boundary, or a required input is missing. Return the blocker and the smallest missing input.

# Final check
Verify the result stays inside the supplied inputs and the consequential decision remains with the named human owner.

Human decision — cannot be delegated. Accept the loop, revise it, or stop. AI may draft only. No clinic CTA.

Outcome

One loop design covering action, feedback, failure, and the learning check.

Use When

Use when a learning outcome and owner are accepted, but the loop is not designed.

Inputs

Learner and learning outcome; permitted actions; failure that should teach; constraints; named owner.

Recipe

Copy the prompt. Paste only supplied material. Leave the human decision blank.

Human and AI Control

An assistant may draft and report. Named design owner accepts the loop and controls build, release, and spend. The tool is a player, not the job.

Output and Handoff

Return the Teaching loop design and the blank human decision.

Evidence and Stop

Demand is hypothesized and the outcome is untested. Stop when the owner, the job boundary, or a required input is missing.

Reliability

Skill and tool: teaching-loop design using a private drafting assistant. The Teaching loop design is the pattern; one learning outcome and human acceptance is the protocol. Retain the returned brief as evidence. Accept only a result the named human can verify against the supplied inputs.

Next

Return the result to the named owner. Do not register autonomous execution until a completed prompt trial and an accepted execution contract exist.