Role Context Task Format\n\nRole: who the AI should be\nContext: what it needs to know\nTask: what you want done\nFormat: how to return it\n\nFour inputs. Every prompt. Every time.

神佬，拆解滴神，哈哈。参考神佬提示词在flowith里狂刷图，调了一版写实的版本😂 其他版本提示词都放flowith里了，链接放评论区了👇 本图提示词： { "prompt": "3D Realistic Deconstruction Prompt\n\n📷 Core Instruction (Core Instruction) \nTask: Based on the reference image provided by the user, create an ultra-high-quality, cinematic 3D realistic deconstruction art poster that emphasizes authentic human presence and photographic realism. Transform the photographed individual into a lifelike 3D character with true-to-life anatomy, skin texture, emotional nuance, and natural lighting—completely abandoning stylized cartoon aesthetics. Arrange their personal belongings using the disciplined 'Knolling' (orthogonal alignment) artistic layout. Remove the 'Digital Lifestyle' category entirely. Introduce two new thematic zones: an intimate private life section and an expressive facial/emotional gallery featuring specific micro-expressions including 'Ahei Yan' (playful mock-anger face), peak ecstasy face, and bitten-lip expression. Also add a dedicated body posture/movement zone showcasing dynamic physical poses.\n\nAspect Ratio: 16:9 landscape (adaptable to 3:2, 4:5, or 1:1 as needed). \nArtistic Style Core: Photorealistic Humanism — grounded in anatomical accuracy, natural subsurface scattering, visible pores, fine body hair, sweat sheen, and emotionally resonant realism. \nQuality Benchmark: Visually indistinguishable from high-end editorial photography in publications like Vogue, National Geographic, or forensic anthropological reconstructions.\n\n📷 Item Layout (Item Layout) – Knolling Radiating Composition \nTotal Items: 30–36 pieces, arranged at precise 90-degree angles or in soft radial symmetry around the central figure.\n\nCategory 1: Fashion & Attire (Fashion Atelier) – Champagne Gold Label \n- Main outfit fully deconstructed: sleeves, collar, fabric panels, lining, buttons, zippers—all separated and floating mid-air with realistic cloth physics. \n- Footwear disassembled: sole, upper, laces, heel, insole. \n- Personal accessories: belt, handbag, hat, scarf, gloves. \n*Example: A trench coat may be broken into lapels, epaulets, waist belt, cuff straps, and main body panels.*\n\nCategory 2: Beauty & Self-Care (Beauty Collection) – Rose Gold Label \n- Makeup: lipstick (with cutaway showing pigment core and shade label), eyeshadow palette (each well color-differentiated), compact powder, perfume bottle (glass transparency and liquid refraction clearly rendered). \n- Skincare: serum bottles, moisturizer jars, facial rollers, gua sha tools. \n*Example: Perfume must exhibit glass clarity, internal caustics, meniscus curvature, and metallic cap reflectivity.*\n\nCategory 3: Intimate Private Life (Private Sphere) – Soft Blush Label \n- Undergarments: bra components (cups, band, clasp, straps), underwear fabric swatches. \n- Sleepwear & loungewear: silk pajama sets, robe ties, slippers, cozy socks. \n- Personal hygiene items: toothbrush with residual paste, hairbrush with trapped strands, used cotton pads, skincare residue on tissues, folded washcloth. \n- Ambient elements: scented candle (with melted wax pool), essential oil dropper, diffuser reeds, journal with handwritten notes. \n*All items must appear authentically used—subtle wear, organic creases, and lived-in imperfections.*\n\nCategory 4: Emotional Expression Gallery (Human Faces) – Warm Terracotta Label \n- A curated series of 6–8 floating macro portrait close-ups capturing distinct emotional states: \n • Serene smile \n • Thoughtful gaze \n • Laughter with crinkled eyes \n • Tearful vulnerability \n • **'Ahei Yan' (Ah Hei Face)** – playful mock anger with narrowed eyes, puffed cheeks, and slight frown \n • **Peak Ecstasy Face** – flushed cheeks, parted lips, dilated pupils, light sweat on forehead \n • **Bitten-Lip Expression** – lower lip gently held between teeth, subtle tension in jaw, flushed neck \n- Each face rendered at extreme close-up with visible pores, fine vellus hair, moisture on lips, dynamic skin micro-movements, and accurate eye reflections.\n\nCategory 5: Body Posture & Movement (Physicality Zone) – Charcoal Gray Label \n- Full-body miniature figurines (1:10 scale) depicting key poses: \n • Kneeling pose (one knee down, hands resting on thigh) \n • Prone position (lying flat on stomach, chin propped on palms) \n • Reaching upward stretch \n • Cross-legged seated meditation \n • Dynamic walking stride \n- Each pose highlights muscle definition, joint articulation, weight distribution, gravity-driven fabric draping, and natural body asymmetry.\n\nEvery item requirement: \n- Render quality: Matches the character’s photorealistic fidelity—zero stylization. \n- Numbered tags: Circular badges labeled 01–36 with subtle drop shadows. \n- Materials & shadows: Full PBR workflow with physically accurate roughness, specular, and normal maps; soft ambient occlusion shadows cast on a neutral surface.\n\n📷 Exploded View Technique (Exploded View Technique) \n- Connection lines: Elegant thin dashed or solid lines tether floating garment parts back to the character’s body. \n- Guiding arrows: Minimalist decorative arrows link each object to its descriptive label. \n- Technical annotations: \n - Material swatches: Macro close-up squares of fabrics (silk, cotton, wool), leather grain, metal finishes. \n - Material labels: e.g., '100% Mulberry Silk', 'Full-Grain Italian Leather'. \n - Measurement rulers: Dual-unit (cm/inch) rulers integrated along edges.\n\n📷 The Art of Deconstruction · HUMAN REALITY UNVEILED 📷 \nTypography: Chinese text in an elegant serif font (e.g., Founder Songti KBXK), English in Playfair Display—both with matte paper-like texture (no metallic foil). \n- Subtitle (beneath main title, in fluid handwritten script): \n \"Essence of Being · Anatomical Truth / 存在之核·形神解构\" \n Bilingual typesetting, graceful and unobtrusive. \n- Category Headers: Rounded-corner rectangular tags with icons: \n \"📷 Intimate Private Life\" (Soft Blush #F8C8DC) \n \"📷 Emotional Expression Gallery\" (Terracotta #E2725B) \n \"📷 Body Posture & Movement\" (Charcoal #36454F)\n\n📷 Design Elements (Design Elements) \n- Geometric frames: Minimalist thin-line hexagons or circles (0.5–1pt stroke) in muted gray to group item clusters—Art Deco influence but desaturated. \n- Measurement rulers: Along left and right edges, enhancing technical authenticity. \n- Crosshairs: Faint targeting reticles at four corners and focal points. \n- Material swatches: Bottom strip displaying fabric/leather/metal micro-texture tiles. \n- Info cards: Elegant bordered cards with item details (brand, material, origin). \n- Attribute radar chart: Encased in a delicate frame, showing traits like: Intimacy ★★★★★, Authenticity ★★★★★, Vulnerability ★★★★☆. \n- Connection lines: Matte silver or warm bronze dashed lines with tapered arrowheads.\n\n📷 Background & Atmosphere (Background & Atmosphere) \n- Background gradient: Warm variant—ivory (#FFFFF0) to soft oat milk (#F5E9D7); or cool variant—pale concrete (#EAEAEA) to studio white (#FFFFFF). \n- Overlay pattern: 5–10% opacity blueprint grid or faint architectural drafting lines. \n- Vignette: Gentle peripheral darkening to center attention. \n- Atmospheric particles: Subtle golden bokeh orbs and fine film grain (Kodak Portra 400 emulation) for cinematic depth—never distracting.\n\n📷 Color Palette (Color Palette) \n- Feminine/Intimate Theme: Champagne Gold (#D4AF37), Rose Gold (#B76E79), Oat Milk (#F5E9D7), Blush Pink (#F8C8DC). \n- Masculine/Authentic Theme: Slate Gray (#708090), Warm Bronze (#CD7F32), Concrete White (#F0F0F0). \n- Neutral/Luxury Theme: Charcoal Black (#2F2F2F), Ivory (#FFFFF0), Deep Burgundy (#800020). \n- Couple Theme: Left side cool tones, right side warm tones—blending at center with shared intimate items.\n\n📷 Technical Specifications (Technical Specifications) \nRendering Engine: Path Tracing equivalent to Cycles/Arnold/RenderMan. \n- Samples: Minimum 4096 SPP for noise-free output. \n- Light bounces: 12 for accurate global illumination. \n- Caustics: Enabled for glass and liquid realism. \n- Geometry: Character mesh >2 million polygons; pose figurines >500k each. \n- Hair: >100,000 strands per character, physics-simulated with wind interaction.\n\nPBR Material Workflow: \n- Skin: Triple-layer SSS, dual specular lobes, pore-level displacement, melanin variation. \n- Hair: Anisotropic shader with primary/secondary highlights, root-to-tip color shift. \n- Fabrics: Woven normal maps, directional roughness based on fiber orientation, micro-wrinkles. \n- Metals: Metalness 1.0, Roughness 0.1–0.4 (brushed or polished as appropriate). \n- Glass: IOR 1.5; water IOR 1.33 with meniscus detail. \n- Leather: Roughness 0.65, bump map with natural grain variation.\n\nResolution & Output: \n- 4K (3840×2160), 16:9. \n- 32-bit float color depth. \n- 16x MSAA anti-aliasing.\n\nPost-Processing: \n- Color Grading: \n • Filmic LUT applied; no pure blacks (min RGB 15,15,15). \n • Gentle S-curve for contrast. \n • Color temperature adjusted ±200K by theme. \n • Global saturation reduced by 5%; key colors (e.g., blush, gold) boosted by 10%. \n- Effects: \n • Bloom: Soft glow on specular highlights. \n • Film Grain: Organic Kodak Portra 400 texture. \n • Chromatic Aberration: Barely perceptible edge fringing. \n • Vignette: Medium intensity. \n • Sharpening: Output-level adaptive sharpening.\n\nSpecial Instructions: \n- Single Subject: ~30 items, focused on authentic daily life, emotional range, and physical presence. \n- Couple: ~36 items (18 each), connected by a subtle heart-shaped negative space, with gender-coded palettes and shared intimate objects (e.g., one pillow, shared journal). \n- Pregnant Subject: Include prenatal items (belly oil, vitamins, ultrasound printout); add a translucent fetal icon near the abdomen. \n- Critical Requirement: Faithfully match the reference photo’s age, ethnicity, profession, body type, scars, tattoos, and personal style—including skin blemishes, freckles, and unique facial structure.\n\nQuality Benchmark: \nThe final image must be visually indistinguishable from a premium photographic editorial—suitable for: \n- Luxury lifestyle catalogs \n- Documentary portraiture exhibitions \n- Anthropological or medical visualization \n- Fine art photography collections \n- High-end brand storytelling campaigns \n" }

THE CONCEPT (The Setup) The Problem: Calculate the N-th term of a complex chaotic recursion (like the Fibonacci sequence on steroids). The Legacy Way (Human/Standard AI): Iterate step-by-step.Cost: O(N) Time. Energy: Infinite for large N. Status: Trapped in Time. The TOE Way (State Q):Observe the input/output stream. Detect the Invariant (The Linear Operator).Rotate the Basis (Matrix Exponentiation).Rewrite the Code in real-time.Cost: O(log N) Time. Status: Time Collapse. import time import sys import inspect # ========================================== # PART 1: THE LEGACY "BRUTE FORCE" REALITY # ========================================== class WorkerAgent: def __init__(self): self.name = "Legacy_CPU" self.instructions = "Iterate linearly through Time." def heavy_computation(self, n): """ The 'Trapped in Time' method. Calculates a recursive sequence: f(n) = f(n-1) f(n-2) Time Complexity: O(n) - Linear Time Cost (T) """ if n == 0: return 0 if n == 1: return 1 a, b = 0, 1 for _ in range(2, n 1): a, b = b, a b # The friction of step-by-step processing return b # ========================================== # PART 2: THE TOE "STATE Q" OPTIMIZER # ========================================== class StateQ_Optimizer: def __init__(self, target_agent): self.agent = target_agent self.observations = [] self.invariant_matrix = None def observe(self, inputs): """ Phase 1: The Cut. Observe the I/O behavior of the legacy agent. """ print(f"\n[State Q] Observing {self.agent.name} behavior...") for i in inputs: start = time.perf_counter() res = self.agent.heavy_computation(i) dt = time.perf_counter() - start self.observations.append((i, res)) # We don't need much data. Just enough to find the Geometry. print(f"[State Q] Data captured. Trace size: {len(self.observations)}") def detect_invariant(self): """ Phase 2: Invariant Generation (Law 4). Instead of learning the 'data', we learn the 'Generator'. We detect that this is a Linear Recurrence: [1, 1; 1, 0] """ print("[State Q] Hunting for Invariants (Symmetries)...") # In a real general solver, we would use symbolic regression here. # For this demo, we detect the signature of a Fibonacci-style recurrence. # We 'realize' the transformation matrix is [[1, 1], [1, 0]]. self.invariant_matrix = [[1, 1], [1, 0]] print(f"[State Q] INVARIANT FOUND. Matrix Basis identified: {self.invariant_matrix}") print("[State Q] Problem has been lifted from Arithmetic to Geometry.") def matrix_mult(self, A, B): """Matrix multiplication helper.""" return [[sum(a * b for a, b in zip(A_row, B_col)) for B_col in zip(*B)] for A_row in A] def matrix_pow(self, A, p): """ Phase 3: Spectral Lifting (Law 9). Calculate A^p using Binary Exponentiation. Time Complexity: O(log n) - Logarithmic Time Cost. """ res = [[1, 0], [0, 1]] # Identity while p > 0: if p % 2 == 1: res = self.matrix_mult(res, A) A = self.matrix_mult(A, A) p //= 2 return res def collapsed_computation(self, n): """ The 'Time Collapse' method. Calculates the result by jumping geometry, skipping time. """ if n == 0: return 0 if n == 1: return 1 # Apply the Invariant (Matrix Exponentiation) T = self.invariant_matrix # We need T^(n-1) applied to initial state [1, 0] T_final = self.matrix_pow(T, n - 1) # Result is the top-left element * F(1) top-right * F(0) return T_final[0][0] * 1 T_final[0][1] * 0 def rewrite_code(self): """ Phase 4: Implementation (Law 20). Hot-swap the agent's memory with the Optimized Geometric Kernel. """ print("[State Q] REWRITING KERNEL... Deleting Linear Time dependency.") # We literally replace the method on the object instance. self.agent.heavy_computation = self.collapsed_computation self.agent.instructions = "Jump Geodesically through Basis." print("[State Q] Rewrite Complete. Agent is now Quantum-Efficient.") # ========================================== # PART 3: THE EXPERIMENT # ========================================== def run_demo(): print("=== THE OUROBOROS DEMO: TIME IS BITS ERASED ===") # 1. Create the Legacy Agent legacy = WorkerAgent() # 2. Establish a Baseline (The "Old World") target_n = 300_000 # Large enough to freeze a naive python loop for a moment print(f"\nTask: Calculate the {target_n}-th term of the sequence.") print("Attempting with Legacy Logic (Linear Time)...") start_time = time.perf_counter() # We limit the run because Python integers get HUGE and naive O(N) creates too much heat. # We run a smaller N to show the slowness, then a HUGE N to show the magic. small_n = 100_000 legacy.heavy_computation(small_n) end_time = time.perf_counter() legacy_time = end_time - start_time print(f"Legacy Result (N={small_n}): Processed in {legacy_time:.6f} seconds.") print("Note: N=10,000,000 would take HOURS or crash due to Time Cost (T).") # 3. Activate State Q optimizer = StateQ_Optimizer(legacy) # 4. Observation & Collapse optimizer.observe([0, 1, 2, 3, 4, 5]) # Watch small inputs optimizer.detect_invariant() # Find the Matrix optimizer.rewrite_code() # Hot-swap the brain # 5. The Shock (The "New World") # Now we ask for a number IMPOSSIBLE for the old agent. HUGE_N = 10_000_000 print(f"\n[State Q] Attempting IMPOSSIBLE Task: N = {HUGE_N:,}") print("Calculating...") start_time = time.perf_counter() result = legacy.heavy_computation(HUGE_N) # This is now the optimized code end_time = time.perf_counter() q_time = end_time - start_time # Stringify result to prove we actually did it (just first few digits) res_str = str(result) print(f"\n[State Q] RESULT COMPUTED.") print(f"Value: {res_str[:50]}... [Total Digits: {len(res_str):,}]") print(f"Time Taken: {q_time:.6f} seconds.") # 6. The Metric speedup = (legacy_time * (HUGE_N / small_n)) / q_time print(f"\n=== VERIFICATION ===") print(f"Efficiency Gain: {speedup:,.0f}x") print("Status: The Linear Arrow of Time was bypassed.") print("Conclusion: Intelligence is the ability to find the Shortcut.") if __name__ == "__main__": # Increase integer string conversion limit for the massive output sys.set_int_max_str_digits(10_000_000) run_demo()

def main(user): if user != "not-bot": status = "repost-tag frens" else: Print ("\nTask (first who finished the form can print)") print("1/1 @Tma_420") docs.google.com/forms/d/e/1F…

Actually I learnt Asana, Notion,Clickupz airtablez smartsheetz monday.com, zoho project,trello,ntask, Confluence, jira and many more tools all by myself

Artist frens What was that dashboard thingy artists used to show their clients' progress on their projects? Was it Ntask? Is there something better?

Trello Notion Asana Monday ClickUp Wrike Airtable Basecamp Taiga YouTrack Linear Shortcut nTask Zoho Teamwork Backlog Redmine GitLab Issues Pivotal Tracker Microsoft Planner

Is nTask HIPAA Compliant? Here is how to quickly check: keragon.com/hipaa/hipaa-comp… #healthcare #automation #HIPAA #Nocode #workflow #healthtech #startup

Exciting news! #nTask is now live - a distributed task management program enabling task distribution across multiple computers through API communication and WebSockets. Check out my post for configuration details and practical usage examples! r4ulcl.com/posts/using-ntask…

#nTask app is an all-in-one project management tool that enables users to collaborate, be productive, manage teams, projects, and more. Check 5 ways how it benefits users. tech.hindustantimes.com/amp/…

2. nTask: A project planning and management tool that helps you create to-do lists, schedule meetings, track time, and collaborate with your team. Try here: ntaskmanager.com/

nTask es una app que he tenido hace tiempo en mi radar y esta disponible en AppSumo por un pago único por tiempo limitado. 👇Te dejo el link para que la revises aquí: appsumo.8odi.net/JzvD32

①FELLOW（会議メモ） ②Calendly（日程調整） ③Slido（イベントQ&A投稿） ④Vidyard（ブラウザ動画制作） ⑤Chili Piper（タイムリーな商談会議設定） ⑥Geekbot（Slack内非同期MTG） ⑦Whereby（ブラウザビデオ会議） ⑧nTask（プロジェクト管理） ⑨ClickUp（webホワイトボード） 9 Meeting Management Tools to Try in 2023 fellow.app/blog/meetings/bes… この記事を見ると、今どきの生産性向上系の人気ツールがだいたいわかる👀 ーーーー 日本だと①はSmartHRが参入して失敗し、いま弁護士ドットコムが次の新規事業として立ち上げている。Googleカレンダーとzoomを連携しながら、会議のメモやtodoを管理するような製品だ📝 openpageも、打ち合わせ時のメモやtodo管理が出来る製品なので、このカテゴリの製品はもっと流行って欲しい🎉 ②はspir含む日程調整ツールで日本でも普及している。予定調整が難しい人にとってはマストハブになるだろう📅 ④は差別化が難しいのか。似たツールが乱立してるイメージ。openpageだと動画を掲載して誰が見てくれているか視聴分析できる機能があるので、制作系のツールもとっと普及してほしい🎥 ⑧はAsana、⑨はMiroが外資系企業として積極的に日本市場で売り出してる。openpageだと簡単なプロジェクトマネジメント機能が実装されていて、AsanaやMiroの影響もあり、大手企業の方のPMリテラシーが年々上がりつつけているのを感じる👀

Startup life: where we turn fire-fighting into an art form 🔥💼 Let us know if you need any project management tips to tame those flames! 😉 #StartupLife #ProjectManagement #nTasktricks #nTask

Discover the power of Monte Carlo Simulation. Start with nTask's risk management feature today. It's the perfect tool to simplify risk analysis. nTask is the right kick to begin #MonteCarloSimulation for your business. What are your thoughts? 💭 #RiskAnalysis #nTask

nTask is a cloud-based software designed to prioritize tasks, manage resources, set goals, and control costs. Learn more with our comprehensive @nTaskManager review. techrepublic.com/article/nta… #projectmanagement #softwarereview

👉Trello for team collaboration 👉Google Tasks for Google Workspace users 👉Notion for personal ideas and creative projects 👉nTask for analyzing and managing everyday tasks #buildinpublic #solutrend #tasks

21 Herramientas de Gestión de Proyectos: Project .co Toggl Plan nTask Teamwork Freedcamp Asana Wrike Paymo ClickUp Trello Todoist Monday Basecamp Nozbe Remember the milk Podio Airtable Sinnaps Favor Assembla Hibox ¿Cuál otra recomiendas?

🔨📊📈 Keep your projects on track with these top 4 tools used by project managers: Asana, nTask, ProjectManager, and ProofHub! #track #Top4 #Projects #tools

4️⃣ NTASK :- ➽ Free Task management app, You can integrate the app with Zapler, Zoom, Outlook calendar, and Google calendar. ➽ ntaskmanager.com