Productivity
Learning path links
Learning path links turns goals and constraints into a structured, actionable response with clear constraints and an explicit output.
The prompt
Learning path links guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when planning work, making decisions, or organizing complex information and you want a response that is easier to evaluate and act on.
text prompt
From resources: {{linksAndDescriptions}}, order a learning path for week 1-2 with time boxes. Tag broken or missing links {{verify}}.
Tune the prompt, not the plumbing.
Every control comes from this prompt’s content schema. Changes stay in your browser and update instantly.
Customized prompt168 characters
From resources: Paste the relevant source material and context here., order a learning path for week 1-2 with time boxes. Tag broken or missing links a specific verify.
Useful structure, room to move.
Learning path links guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when planning work, making decisions, or organizing complex information and you want a response that is easier to evaluate and act on.
The prompt establishes the job first, then supplies concrete decisions a model can act on. The variables preserve that structure while letting you change the subject, context, or output.
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