Creative Technologist, AI Product Designer, Brand Developer and Founder. I shape products, identities and cinematic stories, direct AI-assisted execution, and refine every detail until the experience behaves.
Selected Work
The selection favors original product thinking, AI workflows, visual systems, automation and real problem-solving. Trading work is included, but it does not define the whole portfolio.
In development
Studio operations usually scatter across messages, calendars, payment links and notebooks. Ink Flow frames that mess as a calm command center.
Functional prototype
Generic chat hides context. Jarvis exposes mode, priority, cost, speech, weather shortcuts and tool-readiness as a visible machine.
Static mobile prototype with backend-ready paths
Most coaching apps collect habits without confronting the identity pattern underneath. Shadow turns behavior into logs, protocols and decisions.
In development
Prop account management mixes emotional decisions, rule limits and platform friction. The rotator structures account eligibility and risk state.
Audit
Strongest SaaS product thinking and verified build evidence.
Best AI interface and interaction-system proof.
Original coaching concept with clear AI-native workflow.
Technically deep; included without letting trading dominate.
Useful agent and messaging-integration evidence.
Trading coach surface; kept secondary.
Strong visual/product-storytelling asset.
Business tool and admin-workflow prototype.
Operational scheduling system in Spanish.
Creative brand/audio/game experimentation.
Case Studies
In development / Documents/INK FLOW
Functional prototype / Desktop/SHADOW/JARVIS
Static mobile prototype with backend-ready paths / Desktop/SHADOW
In development / Documents/BOT NT SOFTWARE/PropAccountRotator
Process
Across Ink Flow, Shadow, Jarvis and the business tools, the pattern is consistent: turn a loose need into a workflow, direct AI against the workflow, then test where the result breaks.
Ink Flow began as studio chaos: leads, calls, bookings, payments and follow-up split across tools.
Shadow defines the user as someone negotiating with an old identity pattern, not someone who just needs a checklist.
Prop Account Rotator maps account eligibility, risk state, execution mode and rotation rules before code-level details.
Jarvis turns the abstract idea of an assistant into lanes, cards, runtime state, speech modes and visible cost.
Projects use prompts as product direction: references, constraints, safety rules and expected behavior before implementation.
AI-assisted execution is treated like a directed production crew: useful, fast and still accountable to the product owner.
Builds and prototypes are checked through local docs, source inspection, build scripts and real UI states where available.
The portfolio excludes private secrets and claims that were not backed by repository evidence.
Iterations add missing states, fallback logic, mobile behavior and clearer operating boundaries.
The finished site packages the work into a clear hiring surface with case studies, lab notes, resume and editing docs.
Supporting Projects
Telegram-first personal agent with memory notes, web fact-checking, voice/image handling, proactive check-ins and optional NinjaTrader trade alerts.
Node.js, Telegram Bot API, OpenAI, local JSONL memory, MTA dataMobile trading coach app generated from a Figma design, with market pages, AI coach surface, settings and Capacitor notification hooks.
React, TypeScript, Capacitor, Tailwind, local notificationsA visual wellness/cannabis ritual site with strain index, terpene profiles, product storytelling and a polished experiential retail tone.
React, Vite, CSS, product content systemAutomotive business web app with public forms, inventory, repair/sponsor flows and an admin dashboard prepared for Supabase Auth.
Next.js, TypeScript, Tailwind, Supabase-ready authAndroid-first scheduling tool for weekly staff coverage, incidents, change approvals, admin controls and assistant-ready operations.
Flutter, mock data, Firebase/OpenAI-ready architectureCreative music/game environment with Swift tooling and custom audio assets, used as an experimental brand and interaction lab.
Swift, audio assets, local game toolingBrand + Motion
From the first logo sketch to a complete brandbook, I develop the visual language around a product: aesthetics, color systems, typography, image direction and the rules that keep everything coherent. I also edit professional video and create AI-driven characters and stories for branded content.
Positioning, visual territories and identity systems built to make a product feel distinct and coherent.
Logo concepts, typography, art direction and visual decisions that give the brand a recognizable character.
Color palettes and practical brand guidelines that explain how the identity should look, move and communicate.
Campaign assets, image treatments, compositing and polished visual production for digital brand systems.
Adobe Premiere Pro editing with rhythm, narrative structure, sound, pacing and platform-aware delivery.
Character-led concepts and AI-assisted storytelling shaped into memorable branded video experiences.
AI Lab
Jarvis, Hermes and Shadow explore different agent surfaces: tactical command center, Telegram operator and self-coaching system.
What I learned: the interface has to make risk, state and limits visible before AI feels useful.Browser speech, Telegram voice note transcription and optional audio replies appear in prototype form.
What I learned: the interface has to make risk, state and limits visible before AI feels useful.NinjaTrader alerting, prop account rotation and strategy-lab experiments are present but intentionally not portfolio-dominant.
What I learned: the interface has to make risk, state and limits visible before AI feels useful.Telegram is implemented in Hermes; WhatsApp is treated as unverified/future unless project evidence is added.
What I learned: the interface has to make risk, state and limits visible before AI feels useful.Ink Flow, Pakito Nitro and Prop Account Rotator all use dashboard shells for operational clarity.
What I learned: the interface has to make risk, state and limits visible before AI feels useful.Jarvis includes Three.js as an interface layer; separate SketchUp, Twinmotion, Unreal or architecture work was not verified in the scanned repositories.
What I learned: the interface has to make risk, state and limits visible before AI feels useful.Cuadrante Facil, Pakito Nitro and Ink Flow show practical workflow systems for real small-business operations.
What I learned: the interface has to make risk, state and limits visible before AI feels useful.iTrade and Personal Agent contain market/news/trading assistant surfaces without exposing private financial data.
What I learned: the interface has to make risk, state and limits visible before AI feels useful.About
J NASH is a Creative Technologist, AI Product Designer, Brand Developer and Founder with a hospitality-grounded instinct for real-world operations. His work moves between product direction, identity systems, logo and brandbook development, automation, professional video editing and functional prototypes. He uses Photoshop, Adobe Premiere Pro and AI character workflows to turn ideas into coherent brands, cinematic stories and usable experiences.
Contact
New York, NY. The only contact method is email.