Heroku AI employee
A Superkind AI employee that checks deployments, explains build failures, monitors dynos, and manages Heroku apps. Message it in Teams or Outlook, it works directly in Heroku and reports back with the result. Sensitive actions such as deployments, rollbacks, or resource changes 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 Heroku AI employee?
A Heroku AI employee is an AI that connects to your Heroku account and completes work there. It checks apps, builds, releases, and dynos and takes the right Heroku actions. Superkind builds this AI employee with your company knowledge, operating rules, and application context.
Unlike Zapier or Make, there is nothing to configure. You describe the outcome, the AI employee picks the right Heroku actions, chains them with Teams, Jira, or GitHub, and asks for your approval before sensitive changes.
Heroku is a cloud platform for deploying, operating, and scaling applications with dynos, builds, releases, and add-ons.
You ask in Teams
Describe the Heroku outcome you need in plain English.
Superkind picks the actions
Selects the right Heroku actions and connects them with your systems.
Superkind works in Heroku
Checks builds, releases, dynos, and logs using your real data.
Superkind reports back
Delivers the cause, status, and next steps in Teams or Outlook.
What can you ask Superkind to do in Heroku?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Check the latest failed deployment of the Heroku app customer-portal and summarise its build errors and status.”
you, to @Superkind“Explain the cause of the H12 error in Heroku using the current router logs and dyno metrics.”
you, to @Superkind“Create a Jira ticket for this failed Heroku release with the cause, logs, and recommended next steps.”
you, to @Superkind“Let me know here as soon as a new incident affects the Heroku app checkout, including the cause and affected dynos.”
you, to @SuperkindHow does Superkind work with Heroku?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Connect Heroku securely to Superkind. Add Teams and your other systems such as GitHub or Jira. Superkind uses the approved Heroku permissions and is then available in Teams.
@Superkind please check the failed deployment of the Heroku app customer-portal and create a diagnostic build for staging.
I am checking the release and router logs in Heroku and creating the diagnostic build for staging.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Ask it to check a failed Heroku deployment or compare dynos. Superkind understands the context and asks follow-up questions directly in Teams.
- Release v184 failed
- Build 8c2f created
- 2 web dynos affected
Build 8c2f createdWaiting for your approvalDeploy build 8c2f?3Superkind operates, you approve
Superkind reads Heroku logs, builds, and releases and reports the result in Teams. Deployments, rollbacks, and changes to Heroku resources wait for your approval. Every step is logged.
What can Superkind do in Heroku?
Ask in plain English from Teams or Outlook. Superkind picks the right Heroku actions, completes the work, and reports back. No workflows to build.
List apps
Lists Heroku apps with region, stack, owner, and current maintenance status.
Get app details
Reads the name, region, stack, buildpack, and timestamps of a Heroku app.
Check app metrics
Checks throughput, response times, errors, and memory use for a Heroku app.
Create app
Creates a new Heroku app in the selected region and organisation.
Delete app
Deletes a Heroku app including its running dynos and configuration.
List dynos
Shows an app's dynos with type, status, release, and start time.
Get dyno details
Reads the state, size, command, and latest change for a Heroku dyno.
Get logs
Fetches current app, router, and dyno logs for troubleshooting.
Restart dynos
Restarts selected dynos or every dyno in a Heroku app.
Check formation
Shows process types, dyno sizes, and current quantities in an app formation.
List releases
Lists Heroku releases with version, status, description, and initiating user.
Get release details
Reads the slug, description, status, and creation time of a Heroku release.
List builds
Shows builds with commit, status, source archive, and build output.
Analyse build
Checks build output and buildpack steps for the likely cause of a failure.
Start pipeline promotion
Promotes an approved release to the next Heroku pipeline stage.
Roll back release
Restores an earlier Heroku release as a new version of the app.
List config vars
Lists the names of existing config vars for a Heroku app without unnecessary values.
Check config var
Checks whether a required config var exists without exposing its value.
List domains
Shows a Heroku app's domains with DNS target and certificate status.
List log drains
Lists configured log drains and their destination types for a Heroku app.
List add-ons
Shows provisioned Heroku add-ons with plan, status, and associated app.
Get add-on details
Reads the provider, plan, state, and attachments of a Heroku add-on.
Provision add-on
Purchases a selected add-on plan for a Heroku app.
List add-on attachments
Shows the names under which an add-on is attached to Heroku apps.
List teams
Lists Heroku teams and organisations accessible to the connected account.
List collaborators
Shows collaborators on a Heroku app with their role and access rights.
Superkind AI employees that work with Heroku
Every role brings its expertise and uses Heroku as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Heroku.
Yes. Superkind connects to your Heroku account through a managed connector. The AI employee can then read apps, dynos, builds, releases, and logs and perform agreed actions. Your team instructs it directly from Teams or Outlook. It only receives the Heroku permissions that are genuinely required for the specific use case.
An admin authorises the secure connector for the right Heroku account and selects the accessible apps or teams. Together, we define which data the AI employee may read and which actions it may prepare. You then test the connection with a real task from Teams. There are no webhooks or zaps for you to maintain during ongoing use.
The AI employee can check apps and dynos, read logs, explain failed builds, compare releases, summarise pipeline status, and inspect domains, config vars, and add-ons. It can also execute approved deployments, rollbacks, or restarts. During setup, you decide which Heroku actions run independently and which ones require confirmation from a responsible person.
No. You simply describe the outcome you need in Teams or Outlook. Superkind picks the right Heroku actions and connects them with GitHub, Jira, or Slack when needed. Unlike Zapier or Make, there are no fixed trigger chains for you to build and maintain. If context is missing or a decision is needed, the AI employee asks you directly.
Only with your approval. Superkind can independently inspect builds, releases, logs, and dynos and prepare a concrete measure. A deployment, rollback, dyno restart, or paid add-on purchase only runs after a responsible person approves it. Approval happens directly in Teams, and your team decides which Heroku actions are treated as sensitive.
Superkind is hosted in the EU and we sign a GDPR data processing agreement. The connector receives minimal Heroku permissions and can be limited to selected apps. Your data is not used to train models. Access, results, and completed Heroku actions are logged so your team can review every step and adjust permissions at any time.
A production Heroku setup with dynos and add-ons often reaches the low hundreds of euros per month. Zapier starts at about 20 euros and Make at about 10 euros per month, both plus setup and maintenance time. Those tools provide infrastructure or workflows. Superkind is priced per use case, a fraction of a full-time employee, and completes the operational work.