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Agent traces · Work traces

The hypervisor
for RL.

Ground truth others can't trace.

  • HypervisorRuns your agent unchanged and records processes, network egress, policy decisions, and file changes below the harness.
  • W8 browser engineOur Chromium engine records the full page state at every step: exact values, controls, and off-screen content.

A model proxy sees none of this.

Our team turns both into training data for frontier labs and custom models for enterprises.

Agentagent traces
Expertwork traces
Model proxyprompts · completions
W8 browserPage state at every step
HypervisorProcesses · egress · file changes
WootzApp teamEngineered into training data
Datasets · evals · environmentsfor model labs
Custom small modelsfor enterprises

Where the data comes from

Others trace the model proxy. We trace the agent.

Other training platforms record their traces at the model proxy: what the model was asked and what it answered. Our hypervisor and W8 browser engine record what the agent did and what the page held. A proxy-based trace holds three of the ten kinds of evidence below. Ours holds all ten.

Both records come from infrastructure we built. How they work

What the traces holdOthersmodel proxyWootzApp
Model layervia gateway
Prompts in
Completions out
Tool calls and results in the model's context
Below the harnesshypervisor
Processes
Network egress, including denied attempts
Policy decisions
File changes
Inside the pageW8 browser
Full DOM state at every step
Exact values and control states
Off-screen content
enters a proxy-based trace only if your harness reports it.

For frontier model labs

Datasets, evals, and RL environments.

Recorded below the harness and inside the browser, past the point where a model proxy stops. Accepted by frontier-lab quality gates.

  • Full page state, every step
  • Processes, egress, and file changes
  • Rewards read runtime and page state
Discuss data and environments

For enterprise AI teams

Small models trained on your agents' real work.

Bring your production harness. Change almost nothing.

  • No harness rewrite
  • Only verified runs in training
  • Frontier fallback at your gateway
Discuss a custom model

How it works

From trace to training data.

  1. 1

    Capture

    The hypervisor and W8 record every run below the harness and inside the page.

    HypervisorW8 browser
  2. 2

    Engineer

    Our team builds datasets, evals, and environments.

    WootzApp team
  3. 3

    Deliver

    To frontier labs, or as a small model for your team.

A model proxy sees what the model said.

We see what the agent did.

Below the harness. Inside the browser.

The technology

Two observation points a model proxy doesn't have.

OpenShell sandbox
Your harnessunchanged
  • Model request
  • Proxy decision
  • Workspace update
  • Egress attempt
01Hypervisor

Below the harness

An OpenShell-based sandbox records processes, egress, policy decisions, and file changes, whatever the agent logs.

A proxy sees the model call. The hypervisor sees what the call set in motion.

Architecture
screenshot0.pngScreenshot run
Screenshot of the PyTorch 2.14.0 release header reading “ethche released this 2 weeks ago”.
dom_model0.txtW8 run
ethche released this 02 Sep 17:40
Task 19, GitHub release research. Recorded excerpts from the screenshot run and the W8 run.
02W8 browser

Inside the browser

Our Chromium browser records the page state screenshots miss: exact values, controls, and off-screen content.

A proxy sees the screenshot the agent sent to the model. W8 sees the whole page.

See the benchmark

Built on NVIDIA OpenShell; no NVIDIA endorsement implied.

FAQ

Questions.

What does WootzApp sell?

Datasets, evals, and RL environments for frontier model labs, and custom small models for enterprises. Both are built from traces captured by our hypervisor and the W8 browser.

How is this different from training on my production traffic?

Production traffic is captured at the model proxy: prompts in, completions out, and the tool calls that pass through the model's context. The hypervisor also records the processes, network egress, policy decisions, and file changes behind each call, and W8 records the full page at every step. The training set holds what the agent did and what the page held, alongside what the model said.

What is a work trace?

A recording of an expert doing a real task inside our hypervisor and W8: actions, runtime events, and page state at every step. An agent trace is the same record produced by an AI agent.

Do we need to change our agent?

No rewrite of core agent logic and no tracing SDK. Setup covers image packaging, sandbox configuration, credentials, and gateway routing.

Do you resell enterprise data?

Not by default. Enterprise training and model-lab data are separate contracts. External licensing requires explicit rights and permitted use.

What your agent did matters more than what it said.

Talk to us