Evoke - Project completed successfully and got ⭐⭐⭐⭐⭐ review🚀
Overview
EVOKE is a mindfulness-focused digital experience designed to create a calm, distraction-free space for reflection and presence.
Problem
Most digital platforms are built for speed and engagement, which can feel overwhelming. The goal was to design a space that encourages stillness instead of stimulation.
Approach
I focused on creating a minimal and immersive interface using soft visuals, intentional spacing, and slow interactions to guide users into a reflective state.
Solution
Designed a clean, distraction-free UI
Built immersive entry and reflection flows
Used calming imagery and typography to shape the experience
Developed smooth transitions to support a sense of presence
Tech & Tools
Web development, frontend engineering, UX/UI design
Outcome
The final product delivers a unique digital experience that prioritizes calmness and intentional interaction, standing out from traditional high-stimulation platforms.
👉 https://www.evoke-space.com/
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Nova4AI Command Center
Most AI agent products give you one assistant and a text box. Nova4AI gives you a fleet you can watch work.
Ten specialists run as a team a Researcher, a Coder, a Designer, a QA reviewer, an Archivist, a Prospector, an Optimizer with Navi orchestrating: routing tasks, running standups, pulling teammates into threads with an @mention. Every agent takes voice input.
The core of the build is the Live Feed. Agent-to-agent handoffs stream in real time, each carrying a task ID, trace ID, source system, and timestamp. When Kenzo passes work to Relay, you see the message and can follow the trace. Multi-agent systems usually fail silently and invisibly; this one is auditable by default.
Around the fleet sits the actual business surface: CRM and lead pipeline, proposals, performance analytics, projects, a shared memory layer, docs, and a skills registry. Agents write real artifacts to real endpoints and integrate outward through MCP and n8n.
At the time of this screenshot: 10,983 activities in a day, 5,017 feed messages, 110 tasks open and 42 closed.
Built so you can hand work to a team and still know exactly what happened.
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Project AIR is an open-source toolkit that keeps a tamper-proof record of what AI agents do. Every action an agent takes gets signed, chained to the step before it, and tied to the person who authorized it. The chain is anchored to Sigstore Rekor, a public transparency log, so anyone can check later that nothing was changed or deleted. When something goes wrong, you can show exactly what happened and who approved it, instead of just saying it happened.
It also runs 16 detectors over every record, covering all ten risks on the OWASP Top 10 for Agentic Applications, three from the OWASP list for LLM apps, and three of its own. It can stop an agent mid-action until a person signs off. It plugs into LangChain, LlamaIndex, and the OpenAI, Anthropic and Gemini SDKs with a line or two of code.
I built the Python library and command-line tool, published on PyPI as projectair (now at version 1.3.1) under the Apache 2.0 license, plus the website and dashboard in SvelteKit. We run it on our own infrastructure too: every request to vindicara.io (http://vindicara.io) is recorded and anchored to Rekor every minute.
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We’re excited to partner with Meyer Machine Supply & Equipment on a complete website redesign, setting a new standard for clean-air industry excellence.
New site, streamlined user experience, and full mobile responsiveness coming soon.
Expect clearer product guidance, faster navigation, and modern visuals that reflect Meyer Machine’s leadership in HVAC & duct-cleaning equipment.
Stay tuned for the launch. your go-to destination for air-duct solutions is getting an upgrade.
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A full-stack personal productivity app built for daily use ,not as a demo, but because I actually needed it.
The app has a three-part daily journal (morning planning, midday check-in, evening reflection), a meal planner, a habit tracker with streaks, a recipe journal, and a weekly summary view. Every tab has a built-in AI assistant powered by Claude that knows your context ,what you planned, what you ate, what habits you're tracking — and gives grounded, specific help instead of generic responses.
Built with Next.js, TypeScript, Drizzle ORM, Neon (serverless Postgres), and the Anthropic Claude API with streaming responses. Designed mobile-first as a PWA so it installs on your phone like a native app.
The kind of project that only gets built when you're solving a real problem for yourself.
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Built GARater, a responsive deck-building and analytics platform for Grand Archive players.
I designed and shipped the product end to end—from the card API integration and interactive deck builder to multidimensional scoring, visual analytics, Google OAuth, cloud synchronization, and production deployment.
Built with JavaScript, Cloudflare Workers, D1, and REST APIs. The product reached approximately 1,180 unique visitors in its first 30 days.
https://garater.com
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