Build models with an agent you can audit.
Inspect datasets, run reproducible analysis, train models, and ship predictions from one traceable workspace.
KUSAMA STUDIOENV: production REGION: us-east-1 SYSTEM ONLINE
DATASET / MANAGED / 38 COLUMNS
customer_churn_v3
ANALYZE
COLUMNTYPENULL
customer_idstring0%
churn_labelint80%
churn_scorefloat320.1%
tenure_monthsint160%
contract_typestring0%
payment_methodstring0%
monthly_chargesfloat320%
total_chargesfloat320.3%
AGENT EXECUTION TRACE04 / 07
✓ STEP 01 Load dataset customer_churn_v3✓ STEP 02 Validate freshness & quality✓ STEP 03 Slice by segment & cohorts→ STEP 04 Identify top drivers (SHAP)○ STEP 05 Correlate product usage change
Profile complete Run trace linked Version immutable
OPEN WORKFLOW / DATA TO DEPLOYMENTPIPELINE ACTIVE
01
CONNECT
Bring in files and databases.
02
INSPECT
Profile, validate, and explore.
03
MODEL
Analyze and train with an agent.
04
DEPLOY
Ship predictions with provenance.
Power without the black box.
Every input, decision, run, and artifact stays inspectable.
TRANSPARENCY BY DESIGN
01
INSPECT EVERY INPUT
Know exactly what you are working with—schema, quality, distributions, freshness, and source stay visible.
- Schema & types
- Nulls & uniques
- Lineage to source
02
ASK, THEN VERIFY
The agent builds a plan, then deterministic tools execute SQL, Python, validation, and training.
- Execution plan
- Tool inputs
- Human approval
03
TRACE EVERY RESULT
Every run writes an immutable record connecting outputs to the exact data, code, configuration, and decisions.
- Full provenance
- Versioned artifacts
- Audit-ready runs