Public studio
Public live streams show non-confidential workflow, experiments, demos, and studio progress.
Live studio signal
Aivelle Studio builds AI-native products in public.
We turn rough MVPs, internal workflows, and AI product ideas into working web, mobile, and backend systems from architecture to launch.
AI-native web, mobile, and internal tools
Founder-led architecture to launch
Public studio. Private execution.
Studio model
Public studio. Private execution.
Anyone can watch our public studio stream. Active clients get a private project room where selected progress, work sessions, files, and updates can be shared securely.
Private execution
Active clients receive a private workroom model for selected progress, files, updates, and sessions.
Approval boundaries
Client code, secrets, production data, OAuth credentials, and NDA materials never belong on public streams.
Launch path
Projects are scoped around practical architecture, working software, deployment, and follow-up decisions.
What we build
Practical product engineering for small teams.
Aivelle Studio focuses on scoped, shippable systems: AI workflows, web apps, mobile apps, internal tools, backend APIs, and product rescue work.
AI MVP
Agent loops, tool calling, RAG, domain assistants, and productized AI workflows.
Web App
SaaS products, dashboards, admin tools, portals, and operational work surfaces.
Mobile App
Flutter-based iOS and Android products with release readiness in mind.
Internal Tool
CRM layers, review queues, automation panels, and decision-support tools.
Backend / API
Node.js, Express, TypeScript, WebSocket flows, and integration-ready APIs.
Product Rescue
Stabilization, refactoring, performance passes, and launch-readiness cleanup.
Stack
Built around real launch constraints.
The Studio stack is shaped by the systems behind Aivelle: product UI, agent orchestration, API design, data modeling, realtime flows, and deployment.
Flutter
Next.js
Node.js
TypeScript
MariaDB
Redis
Firebase
OpenAI tool calling
AWS / Cloudflare
Calendar systems
Selected work
Evidence over empty claims.
Aivelle is the primary proof of work. Additional cards are clearly labeled as internal builds or sample case studies until public client examples are approved.
Aivelle
An AI schedule-first workspace with personal and team contexts, chat, calendar, checklist, and assistant orchestration.
Product architecture, Flutter client, Node.js API, MariaDB schema, Redis-backed runtime state, Firebase push, OpenAI function calling, and AWS/Cloudflare deployment.
Aivelle is the team's own product and the primary architecture proof for Studio work.
Built and preparing release readiness
Internal buildBuilt in this MVP
Studio Lead Intake
A focused lead capture and estimate workflow for turning project inquiries into scoped discovery conversations.
Static-first frontend, structured contact form, shared API endpoint, isolated studio_* tables, and manual follow-up workflow.
This site and its lead API are intentionally shown as an internal build, not a client case study.
Building in public as part of this Studio MVP
Sample case studyClearly labeled concept
AI Operations Dashboard
A representative internal-tool pattern for small teams that need workflow visibility, AI summaries, and structured follow-up.
Dashboard UX, backend workflow model, automation triggers, audit logs, and deployment handoff plan.
No fake client logo or testimonial is used. Replace this card when a public client example is approved.
Concept case study until a public client example is approved
Team
Founder-led, small-team execution.
Aivelle Studio is the product engineering team behind Aivelle, an AI schedule-first workspace built with Flutter, Node.js, TypeScript, MariaDB, Redis, Firebase, OpenAI tool calling, AWS, and Cloudflare.
S
Sooha Jeon
Founder / Full-stack Product Engineer
Public profile ready
Founder-builder leading Aivelle product architecture, core implementation, and deployment strategy.
AI product architectureFlutterNode.jsTypeScriptDatabase designAWS / Cloudflare
Architecture, backend systems, frontend execution, AI agent workflows, and launch readiness.
P
Product / Design Partner
Studio role
Name pending before launch
Named profile will be finalized before public launch. This role covers product framing, interface structure, and user-facing clarity.
Product UXVisual systemsLanding pagesWorkflow mapping
Turning rough product ideas into clear screens, flows, and customer-facing narratives.
D
Delivery / Operations Partner
Studio role
Name pending before launch
Named profile will be finalized before public launch. This role supports client intake, delivery coordination, and launch operations.
Client intakeQA coordinationDocumentationDelivery operations
Keeping project scope, feedback, QA, and client communication organized.
Private client workroom
A private progress space when the project needs it.
The MVP website explains the model before the full workroom is built. Active clients can receive selected updates, work session links, deliverables, meeting links, and feedback paths in a controlled space.
Private project URL after contract
Selected recordings or private sessions
Deliverable links and status updates
Feedback channel without public exposure
Chat / contact
Send the idea, rough MVP, or workflow problem.
We will review the project scope, technical requirements, timeline, and budget range before replying. Quick chat and estimate requests route into the same Studio intake flow.