Faadil Boussari - Brand Designer | ContraWork by Faadil Boussari

pro

Faadil Boussari

Product Designer for Operational Workflows & Prototypes

New to Contra

Faadil is ready for their next project!

Gatineau, Canada

Work Posts Services About

Gatineau, Canada

Cover image for Day 8/30 — OFFBITE
Most snack

Day 8/30 — OFFBITE Most snack brands place a mascot on every package. OFFBITE does the opposite. Each cookie flavor carries only one fragment of a shared negative-space system. Separated, the cartons remain abstract. Aligned, they reveal one collective presence. The system extends into motion and behavior without adding eyes, a mouth, or literal limbs. Expression comes through weight, distance, compression, and form. A self-initiated speculative project exploring packaging, brand systems, motion, and 3D art direction. View the full case study: https://faadil1.github.io/offbite/ Would this make you stop and look twice on a shelf?

OFFBITE: Presence Through Absence

Day 7 of 30 Days of Real Business Problems: Northline A handoff request is not a transfer of responsibility. I built Northline, a custody passport for workflows where accountability must remain explicit during a handoff. The receiver can verify the load, seal, units, condition, and photo evidence. Even when every check is complete, custody has not moved. Only explicit acceptance creates the Transfer Imprint, locks the new custody sheet, and makes Northline the current custodian. When the handoff expires, no imprint is created. Charlotte remains responsible. An exception can be assigned to Jordan Lee, but exception ownership does not transfer custody. The central design principle: Responsibility moves only when acceptance leaves a permanent imprint. Live prototype: https://faadil1.github.io/northline/ I’ll add a closer look at the accepted and expired states in the comments.

Day 6 of 30 Days of Real Business Problems: PASSED APART Every stage approved its part. The dimensions were valid. The tolerances were accepted. Each module passed its own inspection. The system still could not exist. I built an interactive prototype where four independently approved modules are forced to share one master spine. The first two fit. At the third, a small misalignment becomes resistance. Resistance becomes pressure. Pressure shifts a module, opens a gap, and bends the spine. Nothing failed on its own. The failure only appeared after integration. Live prototype: https://faadil1.github.io/passed-apart/ #ProductDesign #InteractionDesign #BuildInPublic

PASSED APART — System-Feasibility Prototype

Cover image for Day 5/30: MISREGISTER
An operating-room case

Day 5/30: MISREGISTER An operating-room case can still look ready on paper after it has stopped being operationally executable. I built MISREGISTER to make that gap physical. CASE 04 is connected to four changing dependencies: — staffed OR team — sterile instrument set — postoperative ICU bed — remaining operating-room time As those windows drift apart, the operating list stays unchanged. The signature moment: the crank freewheels to the end-stop while CASE 04 still reads SCHEDULED. Only after that failed test does a human re-strike the case as DELAYED or RESEQUENCED. This is not clinical decision support. It is a synthetic operational prototype exploring the difference between a scheduled slot and executable capacity. Built with React, TypeScript, SVG, Playwright, Remotion, Claude Code, Kimi, Agent Reach, ChatGPT, and AI33Pro. Live prototype: https://faadil1.github.io/misregister-day-5/ Source: https://github.com/Faadil1/misregister-day-5

188

MISREGISTER — Operational Case Readiness Apparatus

Day 4 of my 30 Days of Real Business Problems challenge. A veterinary patient leaves the clinic at 6 PM. The next scheduled follow-up begins at 8 AM. That leaves a 14-hour interval where care continues, but ownership may not be explicit. I designed CORBEL to make that gap physical. Instead of treating ownership as a status, task, or notification, CORBEL turns the unsupported interval into a structural failure. Maya Chen does not check a box. She becomes the exact missing component, accepts custody, enters the gap, and takes the load. Only then does the structure recover. No toast. No celebration. The system simply stops failing. CORBEL — A Structural Handoff for Veterinary Aftercare. Live prototype: https://faadil1.github.io/corbel/ Source: https://github.com/Faadil1/corbel

164

CORBEL — Structural Handoff for Veterinary Aftercare

Day 3 of 30 Days of Real Business Problems: Before Bar One A rehearsal can lose valuable time before the first note is played. Ensemble parts sometimes come from structurally incompatible editions. Everything appears correct until one player reaches a rehearsal mark eight measures before or after everyone else. I designed and built Before Bar One, a working prototype that checks whether every part follows the same structural route before rehearsal begins. In the demonstration, the Horn in F part uses edition 1987-F, while the rest of the ensemble uses 2001-R. The system finds an eight-measure divergence after rehearsal mark C and turns it into a visible rupture. The user then switches editions through a physical routing interaction. The missing measures return, and all five parts arrive at D together. The prototype uses synthetic local edition metadata and does not claim to parse or verify real published scores. The goal was to demonstrate an honest, distinctive interaction model for a real operational problem. Research → product thesis → interaction design → React/TypeScript prototype → Remotion film. Try the live prototype (https://faadil1.github.io/before-bar-one/) View the repository (https://github.com/Faadil1/before-bar-one) #ProductDesign #InteractionDesign #UXDesign #CreativeTechnology #MusicTechnology #React

Before Bar One: Catch the Wrong Edition Early

Temperfold: Rule-Aware Thermal Route Composer

Cover image for Container delays can quickly turn

Container delays can quickly turn into daily financial exposure, especially when operations teams are tracking deadlines, holds, and dispute evidence across fragmented systems. For this first project, I researched the problem of demurrage risk and designed Dwell Ledger, a financial operations register that helps import teams: Identify containers requiring immediate attention Track Active and Under Dispute exposure Review verified shipment events Prepare an evidence-backed carrier dispute Reclassify liability without presenting it as recovered or resolved Video Walkthrough https://media.contra.com/video/upload/fl_progressive/w_1600/riaukubs5d8xb80i9tku.mp4 (https://media.contra.com/video/upload/fl_progressive/w_1600/riaukubs5d8xb80i9tku.mp4)The Signature Interaction The key interaction follows container OOLU8902117: submitting its dispute moves $350 from Active Exposure to Under Dispute, while Total Liability remains unchanged at $3,150. Prototype Disclosure Front-end portfolio prototype using fictional shipment and financial data. No live carrier, payment, or dispute-system integrations. Live prototype: faadil1.github.io/dwell-ledger (https://faadil1.github.io/dwell-ledger/)

Dwell Ledger — Container Exposure & Dispute Workflow

Editorial AI: Designing the Quiet Luxury Aesthetic

AI Product Visualization for Luxury Brands

BRAYD: Mascot System for a Productivity Ritual Brand

Glow Atelier Hair: Client Care Workflow Redesign

Cover image for Glow Atelier Hair already had

Glow Atelier Hair already had an online presence, but the client experience still relied heavily on scattered messages, incomplete information, and manual follow-up. I rebuilt that journey in Base44 around the way the business actually works. Instead of asking clients to explain everything through back-and-forth messages, the new experience guides them through the service they need, the condition of their wig, photo uploads, measurements, and local or shipping logistics. Once submitted, the request automatically becomes a unique Care Ticket. The client can then follow the status, understand the next step, and view the quote and payment journey through one structured record. The result is more than a redesign. It is a real client care workflow built for a local business — designed to reduce incomplete requests, improve communication, and give Glow Atelier Hair a stronger system to grow with. Before: https://glow-atelier-hair.square.site/ After: https://glow-service-flow.base44.app/ Public post: https://x.com/roy1919875/status/2076558780880273866?s=46&t=BwAG2C4pUXYtaNoGH2rwlw

314

Cover image for Chromatic Duel is a visual

Chromatic Duel is a visual decision experience built in Wonder for the Contra x Wonder Challenge. The project explores a simple idea: Color palette selection should not only be about taste. It should survive pressure. Chromatic Duel turns two competing palette directions into a visible stress test. Ember enters as the bold, warm, dramatic direction. Tidal enters as the calm, precise, premium system direction. Instead of presenting both palettes as moodboards, the Wonder canvas frames them as a duel. The question is not: “Which one looks better?” The question is: “Which one survives?” Inside Wonder, I used the canvas to shape the full decision journey: the initial duel, the stress-test comparison, the iteration trail, the pivot in criteria, the workflow proof layer, and the final verdict. The palettes are compared through four qualitative lenses: Contrast Harmony Accessibility System fit As the system became clearer, Ember felt expressive but less stable. Tidal held together better across the interface direction, making it the stronger final choice. Final Wonder verdict: TIDAL SURVIVES. Ember is archived. I also created a Framer page as a bonus interactive wrapper. It lets visitors try challenger palettes and compare them visually against the fixed Tidal benchmark. The Framer page extends the experience, but the official build, workflow, and final decision remain in Wonder. The core memory line: The palette that survives the stress test wins. Wonder file: https://app.wonder.so/faadil-boussari/files/019f35d4-04d2-7664-afd6-bb717a9100bf Walkthrough video: Uploaded directly with this submission. Framer bonus page: https://cyan-lettuce-159672.framer.app/

345

Cover image for BRAYD: The Braided Focus Flame

BRAYD: The Braided Focus Flame 🔥 BRAYD is an original mascot created for BURN THE TASK, a fictional productivity ritual brand built around focus, completion, and quiet discipline. Rather than designing a cute candle character, I built a full mascot system around one clear visual behavior: focused time burns into completion. BRAYD is a braided wick core inside a faceted wax body. As a task progresses, the wick burns down, the wax form changes through clear stages, and the final braided strand becomes a checkmark. The mascot was designed to stay recognizable across every touchpoint, from the custom wordmark and hero poster to the sticker system, focus ritual packaging, burn sequence, and consistency board. Every asset uses the same visual DNA: the same braided wick, the same faceted wax body, the same angular flame, and the same final checkmark. This project explores how a single mascot can become the face of a fictional productivity world by turning an abstract idea, focus, into a visual ritual. Character Brief Name: BRAYD Role: The Braided Focus Flame Personality: quiet, intense, disciplined, stubborn, focused, and encouraging without being soft. BRAYD does not rush you and does not distract you. He simply burns with you until the task is done. His braided wick represents focused effort, his faceted wax body represents pressure and progress, and his final checkmark represents completion earned through attention. Recraft Project Explore the full project here: https://www.recraft.ai/project/a75515d8-3533-42f4-9a93-9815d2f3f7e3 Applications Included The BRAYD system includes a custom name logo, hero poster, sticker pack, focus ritual packaging, burn to checkmark sequence, and a final consistency board showing the mascot across multiple moments and touchpoints. Proof of Consistency Same wick. Same facets. Same flame. Same final checkmark. #RecraftAI #CharacterDesign #MascotDesign #BrandIdentity #CreativeAI #Illustration #DesignChallenge #BrandDesign #ConceptArt #MotionDesign #GraphicDesign #MascotSystem #ProductivityDesign #DigitalArt

761

12% Human is a short corporate-AI thriller about a job candidate who gives the most human interview possible and fails because of it. I used ChatGPT to develop the concept, character direction, interview-room visuals, facial expression references, tablet reveal, and storyboard, then built the shots in Renoise Canvas with Seedance video generation, including the spoken dialogue directly inside the video clips. The final cut was assembled in CapCut with a readable tablet evaluation overlay, ambient sound, timing adjustments, and a minimal end card to make the twist land clearly.

200

Your strongest work is often the work you cannot show. CaseCraft is an AI-assisted portfolio tool that helps professionals turn confidential project work into public proof. It reviews each claim, classifies it as SAFE, ANONYMIZE, or EXCLUDE, and lets the user review or change every decision before generating a privacy-safe case study. Built with Figma Make, Claude API, Cloudflare Workers, and JavaScript, CaseCraft explores a simple question: how can professionals prove the value of their best work without exposing private information? Live project: https://rank-cheer-67549692.figma.site

185

Cover image for AI Product Visualization for Luxury

AI Product Visualization for Luxury Brands Overview This project explores how AI can accelerate luxury product development by transforming ideas into premium visual concepts before physical production. By combining product design principles, luxury branding, and AI-driven image generation, I created a system for rapidly visualizing products, packaging, and campaign assets while maintaining a high-end editorial aesthetic. The objective is not simply to generate images, but to support product validation, brand positioning, and creative decision-making. The Challenge Traditional product development often requires significant investment before a concept can be evaluated visually. The goal was to create a workflow capable of: Visualizing luxury products before production Exploring multiple design directions rapidly Testing brand positioning concepts Creating campaign-ready assets Maintaining premium visual consistency Creative Approach Product Concept Development AI was used to explore and refine concepts across multiple luxury categories: Fragrance Skincare Accessories Home Objects Lifestyle Products Each concept was designed to feel commercially viable and aligned with premium market expectations. Packaging & Brand Visualization Beyond product rendering, the workflow included: Packaging concepts Material exploration Brand identity integration Product storytelling Editorial campaign development The result is a complete visual ecosystem rather than isolated product images. Luxury Positioning The visual language follows Quiet Luxury principles: Minimalism Natural materials Warm neutral palettes Editorial lighting Timeless design Every element was designed to communicate sophistication without relying on overt branding. Outcome The project demonstrates how AI can function as a strategic design partner during the early stages of product development. It enables brands to: Validate concepts faster Reduce creative iteration cycles Explore multiple visual directions Create presentation-ready assets Align product design with brand positioning Key Capabilities ✅ Product Concept Visualization ✅ Packaging Design Exploration ✅ Luxury Brand Positioning ✅ Editorial Campaign Development ✅ AI-Assisted Product Design ✅ Premium Visual Storytelling

Cover image for Editorial AI: Designing the Quiet

Editorial AI: Designing the Quiet Luxury Aesthetic Overview This project explores how editorial art direction principles can be applied to AI-generated imagery to create premium visual assets that feel timeless, authentic, and brand-aligned. Rather than pursuing hyperrealism or trend-driven aesthetics, the objective was to develop a visual language rooted in restraint, sophistication, and intentionality. The result is a collection of AI-generated editorial imagery designed to embody the principles of Quiet Luxury. The Challenge A significant portion of AI-generated content is instantly recognizable due to over-stylization, excessive detail, artificial lighting, and unrealistic visual cues. The challenge was to create imagery that feels: Natural rather than synthetic Premium rather than promotional Timeless rather than trend-driven Editorial rather than purely generated Creative Direction Aesthetic Philosophy The visual system is built around the principles of Quiet Luxury: Minimalism over excess Authenticity over spectacle Texture over visual noise Presence over attention-seeking Warm neutrals, organic materials, and understated compositions establish a sense of trust, confidence, and sophistication. Visual Language The project relies on: Earth-toned color palettes Natural window lighting Soft contrast Clean compositions Intentional negative space Each image is designed to communicate calm confidence and enduring value. Technical Execution To achieve an editorial-quality appearance, generation workflows were optimized using: 85mm portrait lens simulations Shallow depth of field Controlled lighting ratios Cinematic framing Consistent styling references These techniques help bridge the gap between AI generation and professional photography. Outcome The resulting imagery demonstrates how AI can be used to create sophisticated visual assets that align with premium brand positioning. Rather than appearing artificial or trend-driven, the content functions as a cohesive editorial system suitable for luxury, lifestyle, hospitality, fashion, and personal branding applications. Key Takeaways ✅ Editorial Art Direction ✅ Premium Brand Storytelling ✅ Luxury Visual Identity ✅ AI-Assisted Creative Production ✅ Consistent High-End Aesthetics Project Outcome This project showcases my ability to translate luxury brand principles into scalable AI-generated visual systems, creating imagery that feels intentional, tactile, and commercially relevant.

Cover image for Autonomous AI Career Intelligence Platform
Overview
I

Autonomous AI Career Intelligence Platform Overview I developed an autonomous AI-powered platform designed to automate the job discovery and evaluation process. The system continuously analyzes job opportunities against a candidate profile and delivers ranked recommendations directly through Telegram. Rather than relying on manual job searches, the platform transforms fragmented opportunities into actionable career intelligence. ⸻ The Challenge Job seekers often spend significant time reviewing opportunities that are poorly aligned with their qualifications, experience, or career goals. The objective was to create a system capable of: Monitoring opportunities continuously Evaluating candidate-job fit automatically Ranking opportunities by relevance Delivering personalized recommendations in real time ⸻ Solution Intelligence Layer Developed a scoring engine that evaluates: Technical skills alignment Professional experience relevance Industry compatibility Education requirements Soft skills fit Each opportunity receives a weighted score and detailed evaluation breakdown. ⸻ Recommendation Layer Beyond numerical scoring, the platform generates contextual insights explaining: Why a role is a strong match Which qualifications are missing Potential competitive advantages Areas for improvement This transforms raw job data into actionable decision support. ⸻ Infrastructure The platform operates as an autonomous workflow deployed on Render. Key capabilities include: Automated opportunity monitoring Data processing pipelines AI-driven evaluation Telegram notification delivery Continuous 24/7 execution ⸻ Operational Workflow Candidate submits CV System extracts and analyzes profile information Opportunities are collected and processed Matching engine evaluates compatibility Ranked recommendations are delivered automatically AI-generated insights explain each result ⸻ Key Features ✅ Automated CV Analysis ✅ AI-Powered Matching Engine ✅ Explainable Scoring System ✅ Real-Time Job Monitoring ✅ Telegram-Based Delivery ✅ Continuous Cloud Deployment ⸻ Outcome This project demonstrates my ability to design and deploy production-ready AI workflows that bridge the gap between complex technical systems and real-world efficiency. The result is an autonomous platform that reduces manual effort while improving the quality and relevance of career opportunities presented to the user.

Building an AI Persona That Feels Human Overview Mara Keïta is an AI-native persona developed as a long-term brand asset rather than a one-off character generation. The objective was to create a recognizable digital identity capable of maintaining visual, emotional, and editorial consistency across images, video, and social media content. Instead of relying on isolated prompts, I designed a complete identity system that allows the character to scale while preserving authenticity and coherence. ⸻ The Challenge Most AI-generated personas suffer from three recurring issues: Inconsistent facial features across generations Lack of a defined personality and voice Difficulty maintaining brand coherence across multiple content formats The goal was to create a system that could support hundreds of future assets while ensuring Mara remained instantly recognizable. ⸻ The Solution I developed a comprehensive AI Persona Design System composed of five key components: Character Bible A detailed reference framework defining: Facial structure Hair characteristics Age range Heritage and cultural positioning Body language Emotional range Signature visual traits Visual Language A complete aesthetic system including: Color palette Materials and textures Lighting principles Composition rules Styling references Environmental guidelines Personality Framework Defined Mara’s: Core values Archetypes Mission Communication style Behavioral patterns On-camera presence Content Architecture Created editorial pillars that guide content creation: Quiet Confidence Slow Living Personal Growth Lifestyle & Culture AI Production Workflow Built a scalable workflow capable of generating: Static imagery Editorial visuals Lifestyle content Social media assets Video-ready character references while preserving character integrity. ⸻ Results Social Media Performance Within the first publishing phase: 30 published pieces of content 1,700+ views in 30 days 100+ new followers acquired 87% of views from non-followers Consistent engagement across images and video ⸻ Key Achievement The success of this project is not a single image. It is the ability to maintain a coherent identity across dozens of visual assets while preserving the same personality, aesthetic, and emotional tone. Mara Keïta demonstrates how AI personas can evolve beyond simple image generation and become scalable digital brand assets. ⸻ Tools & Workflow Google Flow Veo Advanced AI image generation workflows Character consistency systems Editorial design frameworks Brand identity methodology ⸻ Project Outcome Mara Keïta serves as a case study in AI Identity Design, showcasing how structured creative systems can transform AI-generated characters into believable, scalable, and commercially viable digital personas.

Faadil Boussari

Product Designer for Operational Workflows & Prototypes

Challenges

Challenges