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App analytics
Understand HTTP traffic, routes, latency, browsers, devices, and geography.
Metrics & alerts
Track RAM, vCPU, network, and create project alert rules.
AI assistant
Diagnose apps, explain logs, review settings, and approve actions.
File manager
Browse, edit, upload, download, and commit app files from the dashboard.
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Upload files, organize folders, and serve assets from global CDN URLs.
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Create restore points for apps, databases, and virtual machines.
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Command-line tool to deploy and manage projects from your terminal
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Deploy and manage your apps directly from Visual Studio Code
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Automate deployments with GitHub Actions workflows
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Browse guides, API references, and tutorials
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Ask an assistant that already knows your application

Shard AI lives beside your projects so you can diagnose failures, explain logs, reason through deploy settings, and approve useful actions without leaving the dashboard.

Context

Project-scoped chats

Control

Approve before actions

Open AI assistantPreview the assistantView applications

Built for operating real apps

The assistant connects to each application chat, streams replies as it works, tracks token usage, and separates explanations from actions that need your approval.

Scope

One chat per app

Model

Standard or MAX

Actions

Approval queue

Diagnose production issue

atlas-api

Auto-approve off

Why did the API start returning 504s after the last deploy?

I found a slow checkout route, a higher memory ceiling after the deploy, and one environment variable that changed. I can inspect the logs and prepare a restart, but I need your approval before changing the app.
AI activity
Read deploy logs
Summarize the latest failed requests.
Done
Review env vars
Compare current runtime settings.
Needs approval
Restart app
Queue only after you approve it.
Ready
Review env varsAwaiting your approval
Text
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Ask about logs, deploys, files, settings, or errors

Your cloud assistant should understand the thing it is helping with

Shard AI is designed around application operations, not a generic blank chat box. It keeps the project context close, exposes what it is doing, and leaves control with the user.

Diagnose from the app page

Start an investigation with the app status, RAM, vCPU, and any extra context already included so the first answer is grounded.

Reason about files and settings

Use the assistant for deployment commands, environment variables, logs, and file-level questions while staying inside the dashboard workflow.

Choose fast or deeper reasoning

Switch between everyday answers and the MAX model when the task needs more careful debugging, planning, or explanation.

Approve actions deliberately

Actions are surfaced separately from chat text so reads, changes, and operational commands are visible before they affect your application.

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