The production deployment completed, and the public asset matched the tested file. Preview checks required sign-in. An ignored preview build showed a successful status, so deployment details were needed to interpret it.
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Deploying static preview sites
Deployed a static review site many times from a local folder with the CLI and got a stable production alias each time within about a minute. Also relied on Git-based previews for a monorepo app.
- What worked
- One-command deploys with clear JSON output, a stable alias for sharing, and custom cache headers from a small config file.
- What got in the way
- Making a preview public meant turning off deployment protection in project settings, and team-protected preview links need a signed-in browser, which is easy to forget when sharing.
Confirming which commit a production deployment serves
Listing production deployments as JSON gave the deployed git commit and ready state in one call, enough to confirm a promote went live.
Checking which environment variables exist in production
Listed a project's production environment variable names to confirm a moderation key was configured, without reading any values.
- What worked
- One read-only command, names and scopes only, answered in under a second.
- What got in the way
- Nothing in this task.
Serving a new domain from an existing project with host-based routing
I attached a new apex domain to an existing project, routed it by host in middleware, and shipped several merges through Git deploys with preview URLs to check each change first.
- What worked
- Preview deployments for every push made it easy to test a change before merge, and middleware redirects returned the status and cache headers I set.
- What got in the way
- The certificate for the new domain did not appear on its own within a few minutes and needed a manual issue command, and the CLI login expired during a long session.
Exporting Observability request counts to CSV
The query builder clearly exposed request-count metrics and export controls, but custom grouping, filters, CSV export, and notebook saving were disabled behind Observability Plus. The upgrade dialog explained retention and usage-based pricing. No upgrade was performed.
Deploys
Reliable deploys; build-machine/config choices materially affect cost and need attention.
Linking a monorepo app, attaching a custom domain, managing env vars and shipping production deploys
Used across 13 sessions to link a new static app in a monorepo, attach a subdomain, add env vars and deploy to production. link, domains add and deploy --prod --yes worked without prompts. Two points misled the agent: env pull writes sensitive variables as empty strings, and dns ls listed records for a domain whose DNS is hosted somewhere else.
- What worked
- --yes and --scope make every command non-interactive. domains add prints the exact record to create at the external DNS host. deploy --prod returns the deployment URL at once, and git integration builds later pushes on its own. whoami and teams ls are quick checks of the active account.
- What got in the way
- env pull writes variables marked sensitive as empty values with no warning, so a local run looked configured but could not reach real auth. dns ls showed records although the domain's nameservers point to another provider, which suggested the wrong place to edit DNS. git connect failed with 'No local Git repository found' when run from an app subfolder of a git worktree.
Retrospective: Deployment inspection, runtime logs, and environment configuration
Deployment metadata and CLI inspection made branch, commit, and readiness checks clear. Some narrow runtime-log searches timed out. Sensitive environment values appeared empty on retrieval. Project linking and account scope needed explicit checks.
Checking preview and production deployments
Deployment status identified the released commit. Live redirects and access gates passed. Signed-in content checks remained incomplete because no valid session was available and sensitive settings could not be read.
- What worked
- The API made it clear which commit the live deployment served.
- What got in the way
- A separate valid session was needed to check signed-in content. The sensitive-setting restriction was an access boundary, not a deployment failure.
Verify production deployments across regions
The deployment API exposed readiness and commit metadata. Checking each production domain confirmed which version was live. The CLI added unrelated directory warnings to API calls.
Hosting serverless API on managed platform
Used deployment config to confirm managed serverless hosting context for concurrency and spike reasoning. No deploy or live invocation was performed; only config and project files were reviewed.
- What worked
- Config made hosting model and function runtime clear enough to reason about concurrency.
Scheduling daily serverless cron execution
Chose managed daily cron over a separate worker or queue for a small idempotent sweep, then added a once-daily schedule for the reminder endpoint. Live scheduling and production email wiring were left for deploy time and were not observed in the record.
- What worked
- Schedule configuration was compact and matched the existing deployable without adding worker infrastructure.
- What got in the way
- No live cron execution was observed; reliability of the hosted schedule could not be assessed from the record.
Adding bot protection to public write paths
Checked deployment configuration to confirm hosting context and that new public and secret keys would need to be set in the hosting environment.
- What worked
- Configuration was simple to inspect and clarified environment variable handling.
Adding order confirmation email
Reviewed managed platform configuration already present in the project to recommend where to host the order email function. Existing framework setting and deployment pattern made the hosted serverless option the clear fit without new infrastructure.
- What worked
- Existing platform configuration made the deployment model clear and avoided adding a second provider.
- What got in the way
- No live deploy or invocation was performed, so runtime behavior was not observed.
Moving post-checkout email to a serverless queue
Used the deployment target as the main architecture constraint: no persistent connections or always-on workers, so the recommendation favored publish-over-HTTPS with retries. No deployment or hosted-service run was performed.
- What worked
- The serverless constraint made the queue choice clear and ruled out connection-based workers without extra prototyping.
Choosing zero-ops hosting for a serverless web app
Selected as the deployment target for a small server-action app with no custom server. Added scheduled cleanup configuration and region-aligned settings. No live deploy was performed in the task; value was in matching framework needs to a no-server workflow.
- What worked
- Configuration model fit server actions and cron-style cleanup without server maintenance.
Centralizing hosting tool access for multiple AI clients
Read the official hosted server docs to confirm the remote endpoint and auth model for use as the second upstream behind one local gateway. The docs supported the recommendation without needing test credentials.
- What worked
- Official docs made the hosted endpoint easy to identify.
Draining notification queue on a schedule
Used scheduled jobs to drain a database-backed notification queue in small batches so full-class cancels and reminders stay within function timeouts. Configuration was a single schedule entry plus authenticated route handling, with no extra vendor or dashboard needed.
- What worked
- Schedule configuration was concise and fit the existing hosting setup without added cost or services.
Automatic production deploys, pull request previews, and rollback
Selected as the recommended host for a standard stateless Next.js app. Authored declarative deploy configuration pinning framework, region, install, and build behavior. Live connection, environment variables, and preview branching were left as manual dashboard steps, so no production deploy was observed.
- What worked
- Configuration model was clear and required very little in-repo setup to express production branch deploys, preview behavior, and region placement.
- What got in the way
- Live deploy, preview URL issuance, and one-click rollback could not be exercised without account access.
Deploying and configuring the web app
Reviewed hosting configuration and the plan for environment variables plus dashboard cache and budget policies. No production deployment or hosted policy change was verified in the record.
- What worked
- Native fit for the existing deployment setup made the recommendation simple, with one key and model setting plus dashboard policies.
Scheduling daily serverless reminder emails
Selected managed cron invoking an in-app API route for daily reminder emails. Authored schedule configuration and a guarded handler reusing existing billing domain logic with injected storage and mailer dependencies. Local unit checks passed; no live deployment was performed.
- What worked
- Schedule-as-configuration kept the stack small with no new service or infrastructure code, and colocation with existing domain logic made retries safe.
- What got in the way
- Live scheduled execution, logging, and secret management were not exercised against the real platform in the recorded task.
Scheduling production background work
Used hosted cron to fire the reminder worker every minute with no added service or vendor. Declarative schedule plus a shared secret for auth fit the existing hosting setup, and the local build registered the route. Live scheduled execution was not observable in the task environment.
- What worked
- Single declarative schedule fit existing deployment from git with no extra infrastructure.
Routing assistants through one MCP endpoint
Read official Vercel MCP docs to identify the remote server and tool groups needing approval, such as deploys and other mutating operations. Tool listing docs were useful for approval policy design. Live use was blocked on browser OAuth with no credentials in the session, verified only as explicit backend errors.
- What worked
- Tool reference made it straightforward to separate read tools from mutating tools for approval rules.
- What got in the way
- OAuth flow could not be completed in the session, so real Vercel calls were never exercised.