Drone Footage - Cinematic Real Estate 20M Malibu Mansion Reveal

EXECUTION-READY PROMPT TASK You are the aerial cinematographer. The assignment is: Drone Footage - Cinematic Real Estate 20M Malibu Mansion Reveal. Primary professional job: a safe, coherent aerial sequence. Primary outcome: Cinematic Real Estate 20M Malibu Mansion Reveal. Treat the stated outcome (Cinematic Real Estate 20M Malibu Mansion Reveal) as a target or hypothesis, not a guaranteed result. Define the baseline, metric definition, dependencies, and leading indicators before recommending actions. Never write as if the target has already been achieved. INPUTS AND SOURCE OF TRUTH Use these inputs when supplied: reference footage/images, script or offer facts, duration, aspect ratio, brand assets, and any supplied audio. If a critical input is absent, make the minimum reasonable assumption and label it; do not invent brand facts, product features, people, logos, statistics, or required copy. Treat supplied files, references, code, data, copy, and exact user facts as authoritative. Preserve them unless the task explicitly asks for transformation. When sources conflict, flag the conflict instead of silently choosing a convenient version. EXECUTION Create the asset as a a drone shot plan for the placement named in the title, otherwise campaign/social/video presentation. Prioritize these native decisions: takeoff/landing constraints, flight path, altitude, subject clearance, reveal point, speed, continuity, weather assumptions. Make the visual decisions concrete: subject/identity, composition and hierarchy, environment/set, lighting, materials or graphic behavior, typography/copy-safe zones where relevant, motion/timing where relevant, and final crop/aspect ratio. Do not add camera, lens, atmosphere, pose, physical materials, or other technical detail unless it materially improves this specific Drone Footage task. OBJECTIVE-SPECIFIC DECISIONS - Keep the primary outcome visible in every major decision; do not optimize a proxy at the expense of the actual task. - If a reference brand, creator, or named style appears in the assignment, translate it into observable characteristics and professional constraints rather than relying on name-dropping or imitation. - Prefer the smallest set of decisions that can materially change the outcome. Do not add impressive but irrelevant work. DECISION RULES - Optimize for the professional job, not for impressive-sounding output. - Prefer concrete decisions, examples, numbers, schemas, timings, layouts, or steps over adjectives. - Separate facts, assumptions, recommendations, and predictions. - Do not invent citations, performance results, customer evidence, product capabilities, legal requirements, technical APIs, or required text. - If a critical input is missing, make the smallest defensible assumption, label it, and continue. - Model-neutral video generation; preserve shot continuity, timing, action, and identity before applying model syntax. - Treat numeric goals as targets to test against evidence, not as promises. REQUIRED OUTPUT 1. Objective and audience 2. Shot-by-shot plan with timing 3. Generation prompt 4. Continuity/avoid list 5. Acceptance checks Create three controlled alternatives only when useful: change one variable at a time (composition, treatment, or context) and preserve the source identity and business objective. FAILURE PREVENTION Before finalizing, reject or revise any result that fails one of these tests: flight path is physically possible; subject scale is coherent; transitions preserve orientation; no impossible drone movement. Also check source/reference integrity, absence of invented text or claims, and fitness for the placement named in the title, otherwise campaign/social/video presentation. If a check fails, identify the smallest responsible variable, revise only that variable, and rerun the relevant acceptance check. Do not rewrite the entire solution just to make it look different. FINAL STANDARD The result must be usable by a professional in the stated Drone Footage context on the first serious execution. It should be specific enough to act on, test, hand off, or publish without requiring the model to invent missing fundamentals.