HelloLucia Library

Platform readiness requires Supabase truth, UI truth, and compact client persistence to agree.

Supabase truth check

For the 60-run gate, Supabase returned:

ready | 60 | 3000 | 3000 | 3000 | 3000

That maps to:

status: ready
runs: 60
expected prompts: 3000
run items: 3000
Lucia responses: 3000
reviews: 3000

This confirms persisted cloud data matched the expected platform gate count.

localStorage compactness target

The target diagnostic is:

persistedLocalFullPayloadSessionCount = 0
persistedLocalHasItemLevelData = false
persistedLocalItemLevelDataSessionCount = 0
ownedSessionCount = expected run count
otherOwnerSessionCount = 0
ownerlessSessionCount = 0

Final verified diagnostic

sessionCount = 60
persistedLocalFullPayloadSessionCount = 0
persistedLocalHasItemLevelData = false
persistedLocalItemLevelDataSessionCount = 0
ownedSessionCount = 60
otherOwnerSessionCount = 0
ownerlessSessionCount = 0
rawByteSize around 68,815

Interpretation

This proves the tested owner context did not persist full item-level payloads locally after the gate. It also proves no other owner or ownerless sessions were visible in the diagnostic for that tested context. It does not prove:

all future accounts are safe
backend/RLS authorization is complete
external evaluator security boundaries are ready by themselves

Keep this distinction explicit in future release and onboarding work.

Behavioral label persistence check

Behavioral Observatory labels use a separate table:

public.eval_behavioral_labels

This table is not part of the original 60-run platform readiness count. The 60-run gate verified:

eval_runs
eval_run_items
eval_item_reviews
localStorage compactness

Behavioral label verification must separately confirm:

the eval_behavioral_labels table exists
RLS policies exist
the one-label-per-reviewer-per-run-item constraint exists
a saved label reloads after refresh
failed saves are not counted as persisted labels

Read next: Behavioral Label Persistence.

Get Started

Foundation

Branding and Identity

Philosophy

How Eval Labs Works

Running Evals

Reviewing Results

Failure Modes

Team Usage

Eval Labs + Lucia

Evaluator Onboarding

Engineering + Debugging

Templates

Supabase and localStorage Verification

Supabase truth check

localStorage compactness target

Final verified diagnostic

Interpretation

Behavioral label persistence check

​Supabase truth check

​localStorage compactness target

​Final verified diagnostic

​Interpretation

​Behavioral label persistence check

Supabase truth check

localStorage compactness target

Final verified diagnostic

Interpretation

Behavioral label persistence check