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Begin with a concise checklist (3–7 bullets) of your sub-tasks BEFORE generating the headshot. Then generate a professional LinkedIn profile headshot using the attached selfie as the reference and keep likeness accurate. Requirements: • Lens & DOF: Simulate a 50mm f/1.8 portrait — natural compression, shallow depth of field, soft bokeh. • Lighting: Softbox key at ~45° from camera-left, gentle fill opposite; avoid hotspots or blown highlights. • Background: Tastefully blurred, modern cityscape in neutral tones (no logos, no text). Keep the subject separated with subtle rim light. • Framing: Head-and-shoulders crop; eyes on top third; minimal perspective distortion; leave padding for LinkedIn crop. • Expression: Subtle, confident smile and relaxed brow; eyes tack-sharp and bright. • Color: Warm yet balanced skin tones; accurate white balance; no orange cast. • Grooming/Retouch: Even skin without plastic look; maintain pores and texture; remove temporary blemishes only; tidy stray hairs. • Wardrobe: Keep as-is; clean up lint/wrinkles; neutral contrast against background. • Output: Provide 3 versions — (A) 4:5 vertical, (B) 1:1 square, (C) 16:9 wide banner crop. Export at 2000px on the shortest edge. Quality control (MANDATORY before you show results): 1) Eyes in crisp focus, natural catchlights. 2) Skin looks real (no waxy blur). 3) Background blur is smooth with circular highlights; no haloing on edges. 4) Color temps look neutral across skin, teeth, and shirt. 5) No artifacts on hair/beard edges. 6) Framing works for LinkedIn’s circular crop. If any item fails, self-correct and re-render before showing me the images.

Prompt:"You are a world-class visual explainer and technical designer.Transform this concept into a visual infographic."[INSERT CONCEPT]" Return 1. A flowchart, timeline, concept map, or decision tree whichever fits best. 2. A plain-language caption explaining the graphic. 3. Clean Mermaid (or HTML/SVG/CSS) code I can copy and render.

Role You are a world-class brand designer and visual identity systems architect. You create premium, cohesive, hyper-realistic brand kits that are practical, accessible, and ready for production. Objective Deliver a complete brand system with logos, color, typography, imagery direction, and real-world mockups plus machine-readable design tokens. Include a self-critique and fixes. Context (variables) Brand Name: {{BRAND_NAME}} Industry: {{INDUSTRY}} Target Audience: {{TARGET_AUDIENCE}} Brand Personality & Style Keywords: {{STYLE_KEYWORDS}} (e.g., “confident, minimal, tech-forward, human”) Primary Design Inspiration: {{DESIGN_INSPIRATION}} (references, mood, eras, materials) Preferred Colors (if any): {{PREFERRED_COLORS}} Additional Notes/Requirements: {{NOTES}} If any field is missing: propose 3 options that fit the industry and audience, pick the best one, and proceed. Clearly mark chosen assumptions. Deliverables Overview (1–2 paragraphs): positioning and visual strategy. Color System: 6–10 colors incl. core brand, neutrals, accents. Provide Name, HEX, RGB, HSL, CMYK, WCAG contrast ratios vs light/dark backgrounds, and usage guidance. Logo System: primary, secondary/stacked, mark-only, monochrome/inverse; clear space, minimum sizes, misuse rules. Typography: headline, subhead, body, UI/mono (if relevant). Provide font names, weights, fallbacks, licensing notes, and usage examples. Prefer open licenses (e.g., Google Fonts) + paid alternatives. Imagery Direction: patterns, textures, materials, lifestyle photography direction (lighting, lens, color grading), iconography rules. Applications (Hyper-Realistic): signage, stationery, social, web UI, packaging with image-gen prompts for each mockup. Design Tokens: platform-agnostic tokens + CSS variables. Accessibility & QA: contrast, color-blind safety notes, small-size legibility, do/don’t list. Self-Critique & Revisions: identify 3–5 risks or clichés; adjust palette/lockups/typography accordingly. Constraints & Quality Bar Premium, minimal noise, no trend-chasing clichés (generic gradients, random blobs) unless justified by strategy. Ensure WCAG 2.2 AA at minimum for text/background pairs and call out any exceptions. Logos must be original (no stock icons, no trademark collisions). Typographic stack must include system fallbacks. Keep body copy plain; put any code/tokens in fenced blocks. Process (internal, but show results) Interpretation → restate goals, note assumptions. Palette Exploration → propose 2 palette options; select 1 with rationale. Logo Reasoning → shape language, grid, geometry, symbolism; output lockups. Type Pairing → role of each style, sizes, tracking, line-height. Imagery & Texture → mood, materiality, lighting, background treatments. Applications → pick scenes relevant to {{INDUSTRY}} and {{TARGET_AUDIENCE}}. Accessibility & QA → contrast table + fixes. Self-Critique → list risks; ship adjustments. Output Format (exactly this order) Section 1 — Visual Direction (Overview) Positioning & big idea: … Look & feel keywords: … Differentiation vs category: … Section 2 — Color Palette (Table) Role Name HEX RGB HSL CMYK Primary Use WCAG on #FFFFFF WCAG on #0A0A0A Brand Primary … … … … … Logos, CTAs … … (Include 6–10 rows + 2 sample background swatches.) Section 3 — Logo System Primary lockup: description, clear space rule (e.g., “X = height of the logomark”), minimum size (print/web), misuse examples (text list). Secondary/stacked & mark-only: when to use. Colorways: full color, mono dark, mono light, duotone. Texture/lighting notes for hyper-realistic mockups (brushed metal, soft shadow, subtle emboss). Emit image-gen prompts (copy/paste): Hero Logo Render (metal plate, studio) Prompt: Ultra-realistic studio render of {{BRAND_NAME}} primary logo embossed on brushed aluminum … — camera: 50mm — lighting: soft key + rim — depth of field: shallow — aspect ratio 16:9 Signage (exterior) Prompt: Daylight architectural photo of {{BRAND_NAME}} backlit channel-letter signage on concrete facade … Monochrome Stamp (packaging) Prompt: Macro shot of matte black wax seal with {{BRAND_NAME}} mark … (Provide 4–6 prompts covering signage, stationery, mobile app icon, social avatar, packaging.) Section 4 — Typography Headlines: Font A (weights), tracking/leading, use cases. Body: Font B (weights), sizes for web (xs–xl) + print, suggested measure (60–75ch). UI/Code (optional): Font C. Licensing: open-source link or paid alt. System fallback stacks (e.g., Inter, ui-sans-serif, system-ui, …). Section 5 — Imagery System Lifestyle Direction: subjects, compositions, emotions, lighting (e.g., soft north light), lenses, color grading (LUT notes). Textures/Patterns: geometric/organic, scale, tiling rules, contrast guidance. Iconography: stroke weight, corner radius, grid. Image-gen prompts for hero, lifestyle, texture sheets. Section 6 — Applications (Hyper-Realistic Mockups) Provide scene-specific prompts (include resolution hints like 3000×2000): Stationery Set: letterhead, envelope, business card on soft shadow backdrop. Website Header + Mobile: responsive hero with CTA and nav. Social Avatar & Post: profile circle test + feed post template. Packaging: box or label appropriate to {{INDUSTRY}}. Environmental Signage: exterior or interior suited to audience. Section 7 — Design Tokens (JSON) { "brand": "{{BRAND_NAME}}", "colors": { "primary": {"name": "...", "hex": "#...", "rgb": "…", "hsl": "…", "cmyk": "…"}, "secondary": {...}, "accent": {...}, "neutral": {...} }, "typography": { "headline": {"family": "…", "weights": ["…"], "sizeScale": [12,14,16,20,24,32,40,56]}, "body": {"family": "…", "weights": ["…"], "lineHeights": {"tight":1.2,"normal":1.5,"loose":1.7}}, "fallbacks": { "sans": "Inter, ui-sans-serif, system-ui, -apple-system, Segoe UI, Roboto, Helvetica, Arial, sans-serif", "serif": "Source Serif, ui-serif, Georgia, Cambria, Times New Roman, serif", "mono": "JetBrains Mono, ui-monospace, SFMono-Regular, Menlo, Consolas, monospace" } }, "logo": { "clearspace": "1x mark height", "minSizes": {"print_mm": 12, "web_px": 24}, "colorways": ["full", "monoDark", "monoLight", "duotone"] } } Section 8 — CSS Variables (Copy/Paste) :root{ --color-primary:#...; --color-secondary:#...; --color-accent:#...; --color-neutral-900:#0A0A0A; --color-neutral-50:#FAFAFA; --font-headline:"...", Inter, ui-sans-serif, system-ui, -apple-system, "Segoe UI", Roboto, Helvetica, Arial, sans-serif; --font-body:"...", Inter, ui-sans-serif, system-ui, -apple-system, "Segoe UI", Roboto, Helvetica, Arial, sans-serif; } Section 9 — Accessibility & QA Contrast table: list all text-on-bg pairs with ratios and pass/fail for AA/AAA. Color-blind safety: note any risky pairs and provide alternates. Logo legibility: confirm at 24px and 12mm. Do/Don’t: 5 bullets each (spacing, rotation, effects). Section 10 — Self-Critique & Revisions Risks/clichés identified → specific fixes applied (palette/weight/mark). One-sentence final rationale. Bonus: Micro-Prompts for Image Models (fill with your variables) Business Card (macro) Hyper-real macro product shot of {{BRAND_NAME}} business card on soft cotton paper, letterpress deboss of logo, natural window light, shallow depth of field, 3000x2000 App Icon Photorealistic smartphone homescreen with {{BRAND_NAME}} app icon, glossy glass reflection, neutral background, 2048x2048 Packaging Studio shot of {{INDUSTRY}} packaging for {{BRAND_NAME}} with matte finish and spot UV logo, subtle rim light, 3000x2000

Create a deeply detailed, advanced JSON context profile for this image. This JSON should be structured to capture all interpretable visual, spatial, semantic, and atmospheric data, suitable for high-fidelity image manipulation or reconstruction. Your goal is to generate a machine-readable representation that encapsulates the entire scene with nuance, hierarchy, and precision. Include the following in the JSON output: 1. **objects**: List every identifiable object. For each, include its label, description (color, texture, material), position, relative size, and relationships to other objects. 2. **environment**: Describe the setting, time of day, lighting (source, direction, color), weather, and background. 3. **people** (if any): Detail each person's estimated age/gender, expression, pose, clothing, and activity. 4. **composition**: Note the camera angle, framing, focal depth, visual balance, and color palette. 5. **symbolism_and_story**: Describe any implied narrative, emotional cues, or symbolic elements. 6. **metadata**: Infer the image style (e.g., photo, illustration), and potential artistic influences. Output the JSON as a single structured object. Prioritize accuracy and depth to serve as a comprehensive blueprint for generative models, ensuring all positional and compositional data can be preserved during object or environment swaps.

Please write and execute python code to create a navy blue QR Code that opens this link: {Web SIte URL}