Open the chat
Click New Chat in the left sidebar, or open the agent from My Agents → BenchGen AI, then click Open chat.
The BenchGen AI agent's overview page, with account ownership and status
Example questions
The home screen greets you by name and suggests a few starting points, but you can ask anything about your account in plain language:- “What benchmarks do we have?”
- “How many credits do I have left?”
- “Create a dataset from my last benchmark run”
- “Fine-tune a model on my dataset”
- “Connect my agent for tracing”
- “How do credits and API keys work?”
The BenchGen AI home screen with suggested prompts and a question typed in
Example conversation
Ask a question and the agent pulls live data from your account — benchmarks owned, recent runs, datasets, training jobs, and credit balance — then offers a next step.
A real conversation: asking what benchmarks are available and getting an account snapshot back
Every message to the BenchGen AI agent is recorded as a trace
Next steps
Agent skills
The capabilities the agent is built from, with what each one covers.
Agents overview
Build and deploy your own agents with topics, actions, and integrations.
Eval overview
Benchmark models and agents against real environments.
Train overview
Turn datasets and traces into fine-tuned models.
Inference overview
Serve a trained model as a live API endpoint.