Projects using Next.js in Santa MonicaProjects using Next.js in Santa Monica
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Cover image for Evoke - Project completed successfully
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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Cover image for Nova4AI Command Center Most AI agent
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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