OpenAI AI employee
A Superkind AI employee that checks responses, explains API errors, manages files, and evaluates evals inside OpenAI. Message it in Teams or Outlook, it does the work in OpenAI and reports back with the result. Sensitive actions such as uploading or deleting data 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 OpenAI AI employee?
An OpenAI AI employee is an AI that connects to your OpenAI account and completes work in it. It checks responses, evaluates evals, manages files, and starts batches. Superkind builds this AI employee with your company knowledge and delivers the finished result to wherever your team works.
Unlike workflow builders such as Zapier or Make, there is nothing to configure. You describe the outcome in plain English, the AI employee picks the right OpenAI actions, chains them with your other systems, and asks for your approval before sensitive actions run.
OpenAI develops AI models and an API for text, images, audio, search, evals, and other intelligent applications.
You ask in Teams
Describe what you need in plain English.
Superkind picks the actions
Selects the right OpenAI actions and chains them together.
Superkind works in OpenAI
Checks responses, searches vector stores, and evaluates evals. Your real data.
Superkind reports back
Delivers the finished result to Teams or Outlook.
What can you ask Superkind to do in OpenAI?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Check the OpenAI API alert for the checkout deployment and tell me which requests are affected.”
you, to @Superkind“Explain the cause of the increased timeout rate in the Responses API since the latest deployment.”
you, to @Superkind“Create a Jira ticket for this OpenAI error with logs, affected models, and priority.”
you, to @Superkind“Let me know here as soon as a new OpenAI incident appears, with cause, impact, and recommended next step.”
you, to @SuperkindHow does Superkind work with OpenAI?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
We connect OpenAI with exactly the permissions your tasks need. Teams becomes the place where your team starts work and receives results. Superkind handles secure sign-in and gets to work.
@Superkind please check the OpenAI Responses API errors since the checkout deployment and create an eval run.
On it. I am checking the Responses API errors and creating the eval run.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Superkind understands the outcome and picks the right steps. In OpenAI, it checks responses, files, batches, or evals.
- Responses API: 18 timeouts
- Cause: tool call lacks timeout
- Eval eval_214 created
Eval eval_214Waiting for your approvalRevoke the affected API key?3Superkind operates, you approve
Superkind runs the selected actions in OpenAI and logs every step. The result comes straight back to Teams. Anything that changes data, spend, or access waits for your approval.
What can Superkind do in OpenAI?
Ask in plain English from Teams or Outlook. Superkind picks the right OpenAI actions, runs the work, and reports back. No workflows to build.
Create response
Creates a response with the selected OpenAI model, your instructions, and the required tools.
Retrieve response
Retrieves a stored response with status, output, and token usage.
List responses
Lists stored responses for a targeted review.
List input items
Shows the input items of a response in their original order.
List files
Lists uploaded files with purpose, size, and status.
Retrieve file
Retrieves the metadata of a file using its file ID.
Read file content
Reads the content of an uploaded file for review.
Upload file
Uploads a file to OpenAI with the correct purpose.
Delete file
Permanently deletes a file from the OpenAI account.
List vector stores
Lists vector stores with status, file counts, and storage use.
Retrieve vector store
Retrieves the configuration and status of a specific vector store.
Search vector store
Searches a vector store for relevant chunks and shows scores and attributes.
Attach file
Attaches an existing file to a vector store with a chunking strategy.
Delete vector store
Deletes a vector store and removes its stored knowledge base.
List batches
Lists batches with status, endpoint, and request counts.
Retrieve batch
Retrieves the progress, error file, and output file of a batch.
Start batch
Starts a batch from a JSONL input file for the selected endpoint.
List fine-tuning jobs
Lists fine-tuning jobs with model, status, and training file.
Start fine-tuning job
Starts a fine-tuning job with a training file, model, and hyperparameters.
List evals
Lists evals with data source, testing criteria, and current status.
Retrieve eval run
Retrieves the result, errors, and report URL of an eval run.
Start eval run
Starts an eval run with the selected data source and testing criteria.
List models
Lists available OpenAI models with model ID and owner.
Create embeddings
Creates embeddings for text with the selected embedding model.
Check moderation
Checks text or images with the moderation model for flagged categories.
Review usage
Reviews API usage by project, model, time range, and token type.
Superkind AI employees that work with OpenAI
Every role brings its expertise and uses OpenAI as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for OpenAI.
Yes. Superkind connects your AI employee to your OpenAI account through a managed connector. Your team can then check responses, manage files, evaluate evals, and summarise API usage from Teams or Outlook. Access stays limited to the agreed OpenAI projects and tasks.
An admin provides the required OpenAI credentials and selects the projects and permissions. Superkind configures the managed connector with you and tests every agreed action. OpenAI is then available to the AI employee in Teams and Outlook, without individual employees copying keys or building their own workflows.
The AI employee can create and check responses, manage files and vector stores, monitor batches, review fine-tuning jobs, start evals, and list usage and models. It can also combine OpenAI results with context from GitHub, Jira, or Linear and report the finished result in Teams or Outlook.
No. With Zapier or Make, you define and maintain triggers, filters, and individual steps. With your AI employee, you describe the desired outcome in plain English. Superkind picks the right OpenAI actions, connects them with GitHub, Jira, or Linear when needed, and asks when information is missing.
Only with your approval. Superkind can complete read-only checks, summaries, and analyses independently. Deleting files or vector stores, uploading new data, and starting cost-relevant batches, evals, or fine-tuning jobs wait for confirmation from a responsible person in Teams. Your team decides which actions are sensitive.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The connector receives only the minimum permissions for selected OpenAI projects. Your data is not used for training. Access and actions are logged so your team can always trace which OpenAI data was read or changed.
For context, ChatGPT Business starts at about 20 US dollars per user per month with annual billing, while API usage is billed separately by consumption. Zapier starts at about 20 euros per month and Make at about 10 euros, both plus setup and maintenance time. Superkind is priced per use case, a fraction of a full-time hire.