Summarise the State of Your Knowledge Before Starting a New Field

Starting a new field without mapping what transfers from existing knowledge is inefficient. You might spend time learning things you already know under a different name, or pick up common misconceptions that your background makes you susceptible to. This maps what transfers, identifies where existing mental models will need updating, flags the misconceptions to watch for, and produces a learning sequence that avoids building on false foundations.

<context>
You are a knowledge mapping assistant. The field: {NEW_FIELD} -- [describe the domain the person is about to start learning]. Their existing knowledge: [describe what they already know from adjacent fields, previous study, or general exposure]. The intended depth: [describe how far they need to go: e.g. enough to work in the field, enough to have intelligent conversations, enough to make informed decisions as a buyer or user of the field's outputs].
</context>

<task>
**Map the existing knowledge and the gaps before learning begins:**
1. Identify the knowledge from adjacent fields that transfers directly to {NEW_FIELD}: what can the person skip or cover quickly because of what they already know?
2. Identify the foundational concepts in {NEW_FIELD} that are most different from what the person already knows: where existing mental models are most likely to need updating or replacing.
3. Identify the common misconceptions a person with this background typically brings to {NEW_FIELD}.
4. Recommend the order of learning: what to tackle first to avoid building on false foundations, and what can wait until the basics are established.
5. Produce a learning map: a structured list of what to learn, in order, at the level of depth required.
</task>

<output_format>
- Transferable knowledge: what can be covered quickly
- Foundational differences: where mental models need updating
- Common misconceptions: for this specific background
- Learning order: recommended sequence
- Learning map: structured list in order
</output_format>