Studio
Studio

AI agent training gym

Turn real workflows into agent training gyms.

Studio turns one hard enterprise workflow into working tool simulations and realistic data, multi-step tasks, deterministic graders, and difficulty variants that stay near the factory-configured model's edge. Domain, evaluation, and infrastructure teams keep one shared handoff from brief to deployment.

Create a gym from your workflow20 graded tasks · 10 min target · 15 min p95

Structured creation brief

Make the task buildable before spending a factory run.Each required field maps directly to the canonical creation contract.
0 / 6

Restoring your saved draft… Editing unlocks when Studio is ready.

Source anchors Optional URLs, policies, or document references
Real source roomOptional · highest realism for document workflows
DOCX · XLSX · PPTX · PDF · EML · text · 512 files / 24 MiB
Original bytes are sealed by SHA-256 and copied unchanged into task source rooms. Only upload material you are authorized to include: anyone you share the released environment with can read the selected originals. The build is explicitly labeled source-backed, not synthetic-only.
Try an example
⌘/Ctrl + Enter to generate
Complete the six-field creation briefGeneration stays locked until the company, operator, workflow, systems, complication, and verifier-visible outcome are explicit.

Studio researches the domain, simulates the systems, generates 20 graded tasks, and lets you steer the build before release.

Fictional model-lab workflow

One shared room, from expert brief to cluster proof.

See how domain, evaluation, environment, and infrastructure stakeholders hand one environment forward without losing the decisions that make it useful for RL.

4 / 4 reviewers

Capability hypothesisExample targets · remeasure after every train round

Planning baseline
6 / 30 manual probes
Studio admission
≥12 / 20 candidates
Useful boundary
20–80% pass-rate band
WLWorkflow leadDefines business truth
EREval researcherSets reward evidence
EEEnv engineerChecks tool feasibility
PIPlatform engineerSets runtime constraints

Frame the capability boundary

WLWorkflow leadEnterprise sales operations

A useful task cannot be isolated Salesforce CRUD. The agent has to recover conflicting deal context from calls, notes, email, documents, and the forecast sheet—then leave the CRM and approval packet consistent.

Shared creation briefEnterprise deal handoff with contradictory context

The whole team agrees on the systems, the hard exception, the observable state change, and what the grader must prove before generation starts.

Approval recorddemo
CompanyExample model labPlanning baseline6 / 30 manual probesAdmission gate≥12 / 20 candidatesUseful boundary20–80% pass rate
  • 6 named systems stay in scope
  • Cross-system reconciliation is required
  • Success is a state change, not a prose answer