Build and publish data-backed websites
Create a website project, inspect it in the artifact preview, refine it through conversation, validate versions, and connect runtime data before publishing.
An AI platform that executes work
Turn a request into a website, document, analysis, or completed task. AI works with the data, apps, and processes in your workspace instead of stopping at an answer.
LynaX AI Agent
Website workspace
Plan
Site structure ready
Build
Pages and live data connected
Validate
Responsive preview passed
Modern Minimal Home Decor Store
Draft
One connected workflow
LynaX keeps the request, data, tools, and result in one flow so you can review, refine, and continue the work.
Describe the outcome in natural language and attach the context it needs.
AI identifies the data, skills, apps, and execution path for the task.
Work across the web, Data Engine, MCP, and content environments.
Check the output, version, and state before it is delivered.
Save an artifact, publish a website, or schedule what comes next.
Real product UI
See a request become a working website, review it in the artifact preview, and continue with the files and tasks it creates.
LynaX AI Agent
Website workspace
Plan
Site structure ready
Build
Pages and live data connected
Validate
Responsive preview passed
Modern Minimal Home Decor Store
Draft
Describe the outcome in the conversation, follow the build as it runs, and inspect the responsive website in the live artifact preview before publishing.
Practical applications
These capabilities are designed to create real outputs that keep working after the conversation.
Create a website project, inspect it in the artifact preview, refine it through conversation, validate versions, and connect runtime data before publishing.
Create structured office artifacts, reopen them in the original conversation, and refine them instead of receiving disconnected text.
Combine web search, uploaded files, Data Engine, and RAG to work with the context that matters.
Repeat workflows with scheduled tasks, Skills, and tools from the MCP Marketplace or your own API.
Control at every step
Choose how AI reasons, track what it creates, and manage access from the same workspace.
Choose a model and reasoning effort for each conversation or use the AI Agent default.
Keep outputs connected to their original conversation and continue from an existing version.
Control data, AI Agents, and tools according to each member's role.
Track usage by model and activity instead of treating AI as an unexplained cost.
Built for accountable work
LynaX gives teams visible boundaries for what AI can access, what it can do, and how usage is recorded.
Roles, views, and app permissions determine which data and tools each AI can use.
Inspect artifacts, approve tools, or involve a teammate when a workflow needs judgment.
Model and activity usage is recorded as credits, with billing country and provider handled by the billing system.
Install an app from the MCP Marketplace or connect your own API so AI can read data and take the actions you authorize.
Create a workspace, choose an AI Agent, and turn your first request into an output your team can keep using.