LaunchDarkly AI employee

A Superkind AI employee that checks feature flags, monitors rollouts, explains deployment errors, and prepares approval requests inside LaunchDarkly. Message it in Teams or Outlook, it works in LaunchDarkly and reports back with the result. Sensitive actions such as changes to production flags wait for your approval.

  • Hosted in the EU
  • GDPR data processing agreement
  • Ready to start today
  • Works in Teams, Slack and more

What is a LaunchDarkly AI employee?

A LaunchDarkly AI employee connects to your LaunchDarkly account and completes work there. It checks feature flags, segments, environments, rollouts, and audit log entries and takes the agreed actions. Superkind builds it with your company knowledge, your approval rules, and context from your systems.

Unlike Zapier or Make, there is nothing to configure. You describe the outcome in plain English, the AI employee picks the right LaunchDarkly actions, chains them with Teams, Jira, or other systems, and asks for your approval before sensitive changes.

About LaunchDarkly

LaunchDarkly is a platform for feature management, safe rollouts, experimentation, and software release monitoring.

  1. You ask in Teams

    Describe what you need for a rollout, flag, or incident in plain English.

  2. Superkind picks the actions

    Selects the right LaunchDarkly actions and chains them with your systems.

  3. LaunchDarkly

    Superkind works in LaunchDarkly

    Checks flags, environments, rollouts, and audit log entries using your real data.

  4. Superkind reports back

    Delivers the result and links directly to Teams or Outlook.

Try asking

What can you ask Superkind to do in LaunchDarkly?

Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.

Check the latest checkout-api deployment and show me the affected feature flags and alerts.

you, to @Superkind

Explain why the checkout-v2 rollout is causing errors and name the variations showing unusual results.

you, to @Superkind

Create a Jira ticket for this failed deployment with its LaunchDarkly link, cause, and affected flags.

you, to @Superkind

Let me know here as soon as a new incident starts, with its cause, environment, and affected feature flags.

you, to @Superkind
How it works

How does Superkind work with LaunchDarkly?

  1. Native integrations and connectors for 1,000+ tools

    1Connect your systems

    Connect LaunchDarkly with the minimum permissions required. Teams becomes the direct channel for your team. Superkind manages the secure connection between LaunchDarkly, Teams, and your other systems.

  2. Lena Hoffmann9:12 AM

    @Superkind please check the failed checkout-api deployment in LaunchDarkly and prepare the required rollout change.

    @SuperkindApp9:13 AM

    On it. I am checking the deployment, flag changes, and error rates in LaunchDarkly.

    2Tell Superkind what you need

    Message your AI employee in Teams like a colleague. Ask it to check a deployment in LaunchDarkly or explain a rollout. Superkind understands the request and selects the right LaunchDarkly actions.

  3. @SuperkindApp9:14 AM
    • Deployment checkout-api failed
    • 3 feature flags affected
    • Approval request created
    LaunchDarkly
    Approval request createdcheckout-api · production
    Waiting for your approvalSet rollout to 0 percent?

    3Superkind operates, you approve

    Superkind checks the data in LaunchDarkly and reports the result in Teams. Changes to production flags or access rights wait for your approval in Teams. Every LaunchDarkly step it runs is logged.

Actions

What can Superkind do in LaunchDarkly?

Ask in plain English from Teams or Outlook. Superkind picks the right LaunchDarkly actions, completes the work, and reports back. No workflows to build.

  • Feature flags

    List feature flags

    Lists feature flags in a project with status, tags, and maintainer.

  • Feature flags

    Check flag status

    Checks the status of a feature flag across all LaunchDarkly environments.

  • Feature flags

    Find dependent flags

    Finds feature flags that depend on a specific flag.

  • Feature flags

    Compare flag configurations

    Compares rules, targets, and variations of a feature flag between environments.

  • Feature flagsNeeds approval

    Change production flag

    Changes targets, rules, or variations of a feature flag in production.

  • Feature flagsNeeds approval

    Delete feature flag

    Permanently deletes a feature flag from the LaunchDarkly project.

  • Segments

    List segments

    Lists segments in an environment with tags, rules, and included contexts.

  • Segments

    Check segment

    Reads the rules, included targets, and excluded targets of a segment.

  • Segments

    Find segment use

    Shows which feature flags use a LaunchDarkly segment.

  • SegmentsNeeds approval

    Change production segment

    Changes rules or context targets of a segment in production.

  • Releases and rollouts

    List releases

    Lists releases in a release pipeline with phase, status, and timestamp.

  • Releases and rollouts

    Check release progress

    Checks the progress of a release through its LaunchDarkly phases.

  • Releases and rollouts

    Analyse rollout

    Compares rollout rules with errors, alerts, and affected variations.

  • Releases and rolloutsNeeds approval

    Stop rollout

    Returns an active rollout to the agreed safe variation.

  • Projects and environments

    List projects

    Lists LaunchDarkly projects with key, tags, and environments.

  • Projects and environments

    Compare environments

    Compares names, keys, colours, and settings of LaunchDarkly environments.

  • Projects and environments

    Check SDK key

    Checks whether an environment has an active SDK key without exposing it.

  • Projects and environmentsNeeds approval

    Delete environment

    Deletes a LaunchDarkly environment and its environment-specific configurations.

  • Audit log and alerts

    Search audit log

    Searches audit log entries by project, environment, member, or action.

  • Audit log and alerts

    Explain change cause

    Connects audit log entries, flag rules, and deployment events to explain a cause.

  • Audit log and alerts

    Summarise changes

    Summarises relevant audit log entries for a time range or incident.

  • Audit log and alerts

    Check alert

    Checks a LaunchDarkly alert with its metric, threshold, and affected variation.

  • Other

    List approval requests

    Lists open LaunchDarkly approval requests with reviewers and status.

  • Other

    Create approval request

    Creates a LaunchDarkly approval request for a planned flag change.

  • Other

    List webhooks

    Lists webhooks with status, tags, and linked policies.

  • OtherNeeds approval

    Invite member

    Invites a member to the account with the defined LaunchDarkly roles.

Works with your stack

Superkind uses LaunchDarkly together with your other systems

Ask for outcomes that span tools. The AI employee combines LaunchDarkly data with Teams, Outlook, GitHub, Jira, Slack, or Linear and delivers one finished result.

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FAQ

Frequently asked questions

Everything you need to know about your AI employee for LaunchDarkly.

Yes. Superkind connects LaunchDarkly through a managed connector. Your team can then ask the AI employee from Teams or Outlook to work with feature flags, segments, environments, releases, and audit log entries. Access stays limited to the agreed projects and tasks. You do not need your own workflow builder or additional code to use it.

An admin adds a LaunchDarkly connection and confirms the permissions needed for projects, environments, and actions. We configure the connection with you and check it with a clearly limited test request. LaunchDarkly is then available to the AI employee in Teams or Outlook. Sensitive permissions are only added when the agreed use case genuinely requires them.

It can find and compare feature flags, check segments, monitor release pipelines and rollouts, evaluate audit log entries, explain alerts, and prepare approval requests. It also connects LaunchDarkly with Jira, GitHub, or Teams, for example to turn a failed deployment into a ticket with context. You define the exact actions and boundaries during onboarding.

No. With Zapier or Make, you build triggers, conditions, and individual steps and keep them up to date. With the AI employee, you describe the desired outcome in Teams or Outlook. Superkind selects the right LaunchDarkly actions, connects other systems when needed, and asks when context is missing. You can also state recurring instructions in plain English.

Only with your approval. Superkind can independently read statuses, rules, variations, and audit log entries and prepare a change. Before a production flag, segment, or active rollout is changed, the AI employee waits for approval from a responsible person in Teams. Your team decides which actions are sensitive and who may approve them. LaunchDarkly remains unchanged without that approval.

Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee receives only the minimum LaunchDarkly permissions needed for defined projects and environments. Model requests are not used for training. Access, completed actions, and approvals are logged so your team can trace every step and revoke permissions when needed.

LaunchDarkly offers a free Developer plan. Its paid Foundation plan publicly starts at about 10 US dollars per additional service connection each month, with further usage billed separately. Zapier starts at about 20 euros and Make at about 10 euros per month, both plus setup time. Superkind is priced per use case, a fraction of a full-time hire.

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