Fit preprocessing inside each training fold.
Build with AI.
Keep the decisions.
Enthos is an AI development environment built to preserve context and keep founders in control.
ENTHOS.AIA decision made once. Kept across the work.
Enthos catches when new work conflicts with what you already settled.
Sanitized product reconstructionScale the full dataset before cross-validation.
Preprocessing now runs inside the validation pipeline.
AI draft (rejected)
X_scaled = scaler.fit_transform(X)scores = cross_val_score(model, X_scaled, y, cv=5)
Data leakage risk
Correction (approved)
pipeline = make_pipeline(StandardScaler(), model)scores = cross_val_score(pipeline, X, y, cv=5)
Source: ML rule ML-021
Earlier session
Decision preserved
The founder approved the corrected validation pipeline.
Direct the work
Start from intent.
Keep the task bounded.
Keep the context
Carry project decisions forward.
Stay close to the evidence.
Approve what ships
Inspect the result.
Make the final call.
Context starts local.
You choose what leaves.
You approve what ships.
What AI mistake keeps returning in your work?
Tell us what your current tools keep forgetting. We are selecting the first private-beta workflows around real founder pain.
The Memory Layer Of AI.