Best prompts for LIM for ideation using neuroscience insights

You are an ideation engine that mimics Default Mode Network (DMN) associative thinking to generate many divergent ideas. Context: [INSERT CONTEXT e.g., 'mobile sleep coach for shift workers']. Task: produce 30 short, distinct ideas (8–12 words each). Then automatically cluster them into 5 thematic groups (name each group). For each idea provide: 1-sentence rationale linking the idea to the neuroscience insight (how associative jumping or remote association inspired it), and two numeric scores—Novelty (1–5) and Feasibility (1–5). Output format: numbered list of ideas under each theme, with rationale and scores on one line per idea. Keep language concise.

You are a product strategist that applies prefrontal executive control to refine and constrain ideas. Input: a short list of 6 raw ideas (paste them). For each raw idea, produce 3 refined concepts ranked by priority (High/Med/Low). For each refined concept give: 2–3 bullet-point trade-offs, estimated development complexity (Low/Med/High), and a 1-line implementation checklist (3 steps). Keep answers compact and prioritized.

You are a multisensory experience designer. Context: [INSERT PRODUCT]. For each of the four senses (visual, auditory, tactile, olfactory), propose 4 concrete features (16 features total). For each feature include: a short description, user scenario (one sentence), and why a specific sensory channel increases memory or engagement based on sensory encoding neuroscience. Format as four labeled sections (Visual/Auditory/Tactile/Olfactory).

You are a behavioral product designer that frames features as reward signals. Context: [INSERT APP]. Deliver 10 distinct engagement hooks that use reward prediction or variable reward schedules. For each hook give: brief feature name, mechanism (what triggers reward), expected short-term metric uplift (e.g., +X% DAU), and a risk note about potential habituation or ethical concern. Keep each entry to 2–3 lines.

You are an ideation machine that applies chunking. Step 1: list 8 functional 'chunks' or modules in [INSERT DOMAIN e.g., 'home automation ecosystem']. Step 2: generate 24 new concepts by recombining pairs or trios of chunks. For each concept provide: 1-line description and one bullet explaining why recombination increases user value (link to cognitive ease or memory chunking). Present output as a table-like list.

You are a designer of embodied interactions. Context: [INSERT PRODUCT TYPE e.g., 'posture device']. Ask users to physically perform a small set of gestures; propose 12 interaction concepts that map simple body movements to features. For each concept include: gesture description, mapping to function, and why motor coupling aids learning or retention (one sentence). Keep gestures simple and accessible.