Step 1: Connect your stack
27 native integrations. 3,200+ tools via managed connectors. Most are one-click OAuth, some use API keys - Viktor handles auth and starts working. No webhooks, no Zapier zaps.
Hugging Face AI employee
Viktor is an AI employee that connects to Hugging Face and helps you run and evaluate LLM and AI infrastructure workloads, running 6 Hugging Face actions for you like Object Detection, Text Summarization, and Text Classification. Ask in plain English from your workspace; Viktor does the work in Hugging Face and reports back. Viktor connects with a scoped API key.
Works in Slack & Microsoft Teams
What is a Hugging Face AI agent?
A Hugging Face AI agent is an AI that connects to your Hugging Face account and completes work in it - it doesn't just answer questions about Hugging Face, it takes the actions. Viktor is an AI employee that works in Hugging Face on your behalf and delivers the finished result to your workspace.
Unlike workflow builders such as Zapier or Make, there is nothing to configure - no triggers to map, no workflows to maintain. You describe the outcome in plain English, and Viktor picks the right Hugging Face actions, chains them with the other 3,200+ tools it connects to, and asks for approval before anything sensitive runs.
About Hugging Face
Build, train and deploy state of the art models powered by the reference open source in machine learning.
You ask in your workspace
Describe what you need in plain English
Viktor picks the actions
Selects from 6 Hugging Face actions, chains them together
Runs in Hugging Face
Helps you run and evaluate LLM and AI infrastructure workloads - your real data.
Reports back
Delivers the finished result to your workspace
Try asking Viktor
What can you ask Viktor to do in Hugging Face?
Messages you'd actually send. Paste one into your workspace, swap in your specifics, and Viktor takes it from there.
“Run this batch of documents through Hugging Face and summarize the results.”
— you, to @Viktor
“Compare Hugging Face's output on this prompt with what we use today.”
— you, to @Viktor
“Set up a daily job that queries Hugging Face on new entries and reports back.”
— you, to @Viktor
“Watch Hugging Face for a cost or latency spike and alert me with the likely cause.”
— you, to @Viktor
How it works
How does Viktor work with Hugging Face?
Maya Patel11:32 AM
@Viktor check this week's Stripe revenue against HubSpot and flag anything off before the board call.
ViktorApp11:33 AM
On it. Cross-checking Stripe against HubSpot and fixing anything that doesn't line up before your board call.
Step 2: Tell Viktor what you need
Message Viktor in Slack like you'd message a teammate. "Reconcile this month's invoices and flag anything weird." "Pause Meta campaigns above $40 CPA and move the budget to winners." Plain English, any tool.
ViktorApp9:12 AM
📊 Revenue check:
$84,210 (+6.4% WoW).
3 deals didn't match HubSpot.
Fixed 2, one needs your call.
$84,210 (+6.4% WoW).
3 deals didn't match HubSpot.
Fixed 2, one needs your call.
revenue_raport.pdf
Step 3: Viktor operates, you review
Viktor opens the tools, runs the work, and posts back what changed. Sensitive actions wait for your approval. Everything is logged. You stop doing the work and start reviewing it.
Actions
What can Viktor do in Hugging Face?
Ask in plain English from your workspace. Viktor picks the right Hugging Face actions, runs the work, and reports back. No workflows to build.
- Text
Text Summarization
This task is well known to summarize longer text into shorter text. Be careful, some models have a maximum length of input. That means that the summary cannot handle full books for instance. Be careful when choosing your model.
- Text
Text Classification
Usually used for sentiment-analysis this will output the likelihood of classes of an input. This action allows you to classify text into categories.
- Other
Object Detection
This task reads some image input and outputs the likelihood of classes and bounding boxes of detected objects.
- Other
Language Translation
This task is well known to translate text from one language to another.
- Other
Image Classification
This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories.
- Other
Document Question Answering
Want to have a nice know-it-all bot that can answer any question?. This action allows you to ask a question and get an answer from a trained model.
Works with your stack
Viktor uses Hugging Face together with your other tools
Ask for outcomes that span tools - Viktor pulls from Hugging Face, cross-references the rest of your stack, and delivers one finished result.
Related
More HR & Recruiting integrations
Viktor connects to 3,200+ tools and works across them in a single run.
Trusted by 63,000+ teams
The moment Viktor becomes part of the team.
Hugging Face integration FAQ
Yes. Hugging Face is one of the 3,200+ tools Viktor connects to, via a managed connector. Once connected, anyone on your team can put Viktor to work in Hugging Face from their workspace - no workflow builder, no code.
4.9 on G2G2 rating: 4.9 out of 5 stars
One hire. The output of a team.
Viktor works nights, remembers every decision, and connects to 3,200 tools. Start free with $100 in credits, then $50 a month.