LLMWhisperer, worked by an AI employee
Not another app for your team to learn, and not a set of rules for you to build. You hire an AI employee, you give it access to your LLMWhisperer account, and you ask it for things in Slack or Teams the way you would ask anyone else on the team. There is nothing to map and nothing to maintain.
- AI Document Extraction
- Connects with a key
- 10 ready-made tools
- Asked in Slack or Teams
An illustration of how the conversation reads, not a transcript from a client account.
What LLMWhisperer is
LLMWhisperer is a technology that presents data from complex documents to LLMs in a way that they can best understand.
You paste in a key from your own LLMWhisperer account. It is kept encrypted, and you can withdraw it from inside LLMWhisperer whenever you like.
One message in, the work done in LLMWhisperer.
- 01
You ask
You message your AI employee in the chat your team already has open, in one sentence, in your own words.
- 02
It works out the step
It decides what the job needs in LLMWhisperer. You do not pick anything from a menu or wire anything together.
- 03
It does the work
Signed in to your own LLMWhisperer account, inside the access you granted it, doing the thing you asked for.
- 04
It reports back
It tells you what it did, in the same thread. If it could not do something, it says so rather than guessing.
What it can do in LLMWhisperer
These are the ready-made tools your AI employee already has in LLMWhisperer. It is not limited to them, but it never has to be taught these.
- Check Whisper StatusTool to check the status of a text extraction process in LLMWhisperer. Use when the conversion is done in async mode to poll for completion status.
- Convert Document to TextTool to convert PDFs and scanned documents into LLM-optimized text format asynchronously. Use when you need to extract text from documents for LLM processing. After submission, use
- Delete WebhookTool to delete a registered webhook from LLMWhisperer system. Use when you need to remove a webhook that is no longer needed.
- Get Usage InformationTool to check usage metrics of your LLMWhisperer account. Use when you need to monitor API consumption, verify quotas, or check remaining page limits.
- Get Usage StatisticsTool to retrieve usage statistics for your LLMWhisperer account based on a specific tag. Use when you need to check consumption metrics for a given tag and optional date range. Ret
- Get Webhook DetailsTool to retrieve registered webhook details for LLMWhisperer. Use when you need to get the configuration of a specific webhook including its URL and authentication token.
- Get Whisper DetailTool to retrieve comprehensive details about ongoing or completed text extraction process. Use when you need to monitor the status and progress metrics of a text extraction job.
- Register WebhookTool to register a new webhook endpoint for LLMWhisperer async notifications. Use when you need to set up a callback URL to receive processing results. During registration, a test
- Retrieve Whisper TextTool to retrieve extracted text from asynchronous whisper processing. Use when the conversion process was initiated in async mode and you need to retrieve the results using the whi
- Update Webhook ConfigurationTool to update an existing webhook configuration for document conversion callbacks. Use when you need to modify the callback URL, authentication token, or webhook identifier. The s
You stay the boss of your LLMWhisperer account.
Nothing connects until you approve it. You grant access one app at a time, you can take it back the same way, and everything your AI employee does in there is written down where you can see it.
How we handle your data- It signs in to your own LLMWhisperer account. You are not moving anything into ours.
- You grant access one app at a time, and you can take it back the same way.
- Everything it does in LLMWhisperer is written down, with what it did and when.
- Anything you tell it to check with you first, it checks with you first.
It works in LLMWhisperer and the rest of your software in the same job
A real job rarely stays in one place. Reading a message in one app, checking a record in another and writing the result in a third is one request to your AI employee, not three.
Questions people ask about LLMWhisperer
- Can an AI employee really work inside LLMWhisperer?
- Yes. It signs in to your own LLMWhisperer account and works in it the way a new hire would, from the chat your team already has open. Nobody installs anything, and nobody learns a new screen.
- Do I have to move anything out of LLMWhisperer?
- No. Nothing moves and nothing is replaced. Your records stay in LLMWhisperer, your team carries on in the same screens they used yesterday, and your AI employee works alongside them in there.
- How does it get into my LLMWhisperer account?
- You paste in a key from your own LLMWhisperer account. It is kept encrypted, and you can withdraw it from inside LLMWhisperer whenever you like. You approve it before anything connects, and you can take the access back the same way you gave it.
- What can it actually do in LLMWhisperer?
- It has 10 ready-made tools in LLMWhisperer today, among them Check Whisper Status, Convert Document to Text and Delete Webhook. The full list is on this page. It is not limited to those, but it never has to be taught them.
- Can it use LLMWhisperer and the rest of my software in the same job?
- Yes, and that is usually the point. Reading a message in one app, checking a record in LLMWhisperer and writing the result somewhere else is one request to your AI employee, not three separate ones you stitch together.
- Who decides what it is allowed to do in LLMWhisperer?
- You do. You grant access one app at a time and can withdraw it at any time, anything you ask it to check with you first it checks with you first, and everything it does in LLMWhisperer is written down with what it did and when.