AI Development Projects in Long BeachAI Development Projects in Long BeachWhat if “we should hang out” actually became a plan?
For the #FlowstepChallenge, I built Together — a social planning app that turns messy group chats into real plans.
Together pulls out details like availability, location, budget, and preferences, then recommends options that work for the group. Friends can vote through one lightweight link, and the winning option becomes a confirmed plan.
I wanted to build it because plans often start with excitement in the group chat, then disappear under conflicting schedules and dozens of messages.
I designed and prototyped the full multi-screen experience in Flowstep, from importing the conversation and extracting preferences to recommendations, voting, and final confirmation.
🔗 Explore the public Flowstep file:
https://app.flowstep.ai/file?activeFileId=50f0478a-79e8-497a-9678-9404763c91eb
Less group-chat chaos. More actual plans. 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. Nourished by Mira is an iOS nutrition coach for people who want to lose fat without losing muscle, especially people on GLP-1 medications like Ozempic. It builds protein-first meal plans and grocery lists, tracks body composition, and adjusts portions around where someone is in their medication cycle, so the plan still works on days when appetite is low.
Mira, the in-app coach, writes the meal plans and talks people through their day, with a real voice. The app also tracks medication doses with reminders, can scan a prescription bottle label, and can put together a report to share with a doctor.
I built the whole app in Swift and SwiftUI, plus the backend on AWS: serverless functions, a user database, sign-in, and the AI that writes meal plans on Amazon Bedrock. It’s live on the App Store. AgRisk – Digital Farmer Profiling & Risk Assessment Platform
AgRisk is a platform we built to help agricultural partners, lenders, and organizations better evaluate and support smallholder farmers. Farmers complete a simple digital application, and the system captures key data such as identity details, farm information, location coordinates, land size, and activity type.
The platform then structures this data into a clear farmer profile and risk overview that partners can use for decision-making, monitoring, and eligibility assessment.
The result is a scalable digital infrastructure that makes it easier to identify legitimate farmers, assess risk, and deploy capital or resources more efficiently in agriculture. 
