Workspace context
Start from the resources you already operate instead of explaining your platform from scratch.
Describe what you want to build — Shard AI plans the project, creates the app and database, and connects services. Start from an existing project instead when you need deeper context.
One task view for workspace context, execution, and review
Live
streaming activity
Workspace
workspace context
Approval
reviewable changes
Apps + data
connected resources
Shard AI is built around the resources in your workspace. It can inspect the current state, work from an optional application context, and propose the next operation without leaving the dashboard.
Explore capabilitiesAsk Shard AI to inspect applications, databases, virtual machines, domains, status, logs, configuration, and connections before it recommends a next step.
Start from a project to carry its application context into the task, while still keeping the rest of the workspace available for connected work.
Shard AI can propose creating apps or databases, creating or restoring backups, managing files, updating resources, controlling services, and changing domains or DNS records.
Shard AI streams its work in the task view and groups activity, proposed changes, and results so you can understand what it checked and decide what happens next.
Start from the resources you already operate instead of explaining your platform from scratch.
Attach a task to one application for focused context and keep it organized with that project.
Inspect resource state, logs, configuration, files, and operational signals in one conversation.
Plan changes across apps, databases, virtual machines, files, and domains with their relationships in view.
Inspect proposed changes and their results in an approval queue before they affect your resources.
Choose based on task scope: a quick request, an advanced implementation, or a complete full-stack project.
For simple, focused tasks where you need a quick answer or a small change.
Examples
For advanced tasks that require deeper reasoning across several steps.
Examples
For full-stack projects that span code, data, deployment, and operations.
Examples
Shard AI creates a task, investigates the available context, and waits for your decision before applying proposed operations.
Get startedFrom connection to the first decision, in one flow.
It can inspect the platform resources your account can access, including applications, databases, virtual machines, and domains. Its tools can retrieve details such as service state, logs, files, and connection information when relevant to the task.
Open Shard AI to start a workspace task with your resources already connected.
Guided setup with no commitment
Investigate before it proposes
Shard AI inspects real workspace state before suggesting a change.
Nothing happens without approval
Every proposed action waits in a review queue for your confirmation.
Open Shard AI
Describe what you want to build and let Shard AI plan the first step.
Connect repositories and keep every release linked to its source code.
Ship your own images with a consistent process across environments.
Connect data and applications without losing operational service context.
Bring caching, TLS, and global delivery closer to your users.
Investigate signals and execute actions with workspace context and approval.
Connect standardized signals to expand visibility whenever needed.
Source, data, delivery, and automation stay connected so your team can operate without switching context.
Explore connected resourcesLaunch your first application with the Core plan, then keep deployment, operations, and connected resources in one place.
Start with Core