Public studio
Public live streams show non-confidential workflow, experiments, demos, and studio progress.
Studio build signal
Aivelle Studio builds AI 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.
Public sessions will show safe studio workflow, experiments, and demos when the stream is active. Active clients get a private project room where selected progress, 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.
Ways to start
Small enough to start. Concrete enough to decide.
You do not need a complete specification before contacting us. Pick the entry point that matches your current stage, then we can tighten scope before committing to a larger build.
Smallest start
Scope Check
Best for
A rough idea, messy notes, or an existing product that needs clearer direction before you commit to a build.
First output
A short technical direction, first-scope recommendation, risk list, and a practical next-step decision.
Use this when you are still deciding what should be built first.
Build path
MVP Sprint
Best for
AI workflows, web apps, mobile surfaces, dashboards, or backend systems that need to become usable quickly.
First output
A working prototype or first production slice with core screens, API paths, data model, and deployment handoff.
Use this when the first version should move from idea to working software.
Stabilize path
Product Rescue
Best for
A launched or half-built product with UX friction, slow pages, fragile backend flows, or unclear release blockers.
First output
A focused improvement pass, prioritized fixes, QA notes, and a release-readiness recommendation.
Use this when the product exists but needs a cleaner path to launch or growth.
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
What you receive
Real project artifacts, not vague advice.
Every engagement starts by making the work concrete: scoped artifacts that help you decide, build, launch, or simplify before the project expands.
Architecture outline
A clear technical direction for product surfaces, API boundaries, data shape, integrations, and deployment path.
Working prototype
A usable slice of the product, workflow, dashboard, mobile surface, or AI interaction instead of only static mockups.
API and data model
Practical backend routes, schema choices, validation, rate limits, and operational boundaries for the first build.
Deployment handoff
Cloudflare, Render, AWS, or similar launch notes so the build can move from local development to production.
QA checklist
Focused checks for routes, forms, mobile layout, errors, rate limits, privacy copy, and release-blocking behavior.
Next-step recommendation
A grounded call on whether to simplify, extend, refactor, pause, or move into a larger product sprint.
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
Aivelle Studio Intake
The public Studio site and lead intake flow that turns project inquiries into scoped discovery conversations.
Static-first frontend, structured estimate brief, shared API endpoint, isolated studio_* tables, CORS/rate-limit guards, and Resend-ready lead notification.
This is our own operating surface, shown as an internal build rather than a client case study.
Live internal build for Studio operations
Replacement slotPending approved work
Client Workflow Automation Slot
A reusable case-study format for a future client workflow, dashboard, AI assistant, or product rescue project.
Intended structure: problem, shipped workflow, stack, delivery boundary, measurable outcome, and approved public link.
No fake client logo, testimonial, or metric is used. This card is a clearly marked placeholder for future approved work.
Replace when 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 Strategy Partner
Partner profile slot
Replace with approved public profile
Public name and links will be added after approval. This role covers product framing, UX flow, service positioning, and customer-facing clarity.
Product strategyUX flowVisual systemsCustomer narrative
Turning rough ideas into clear product surfaces, decision flows, and launch-ready customer narratives.
D
Delivery & QA Partner
Partner profile slot
Replace with approved public profile
Public name and links will be added after approval. This role supports client intake, QA coordination, delivery documentation, and launch operations.
Client intakeQA coordinationDocumentationLaunch operations
Keeping project scope, feedback, testing, handoff, 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 use a structured brief. Quick questions go through contact or email first.