Planara Intelligence Layer
Quality & Evaluation

Eval Review

A focused interface for reviewing auto-generated test questions.

What this page does

The Eval Review page is a streamlined interface for the review step of the eval workflow. While Eval Management provides the full-featured eval interface, this page focuses specifically on reviewing and curating test questions.

Eval review dashboard

Generate controls

At the top of the page:

  • Count -- number of queries to generate (1-50)
  • Generate Queries -- triggers AI generation from your ingested documents

Bulk actions

Three bulk action buttons appear contextually:

ButtonWhen visibleAction
Approve All PendingWhen pending queries existMoves all pending to approved
Run ApprovedWhen approved queries existRuns all approved queries against the live pipeline
Promote Passing to GoldenWhen approved queries have passedPromotes passing queries to the golden set

Status summary

Five clickable cards showing counts per status (Pending, Trial, Approved, Rejected, Golden). Click to filter the list. Multiple filters can be active simultaneously.

Run progress

When running queries, a thin progress bar appears below the controls showing completion percentage.

Query list

Each query shows:

  • Status badge with color coding and tooltip (Pending, Trial, Approved, Rejected, Golden)
  • Query type badge (spec, procedure, safety, troubleshooting, parts) with color coding
  • Difficulty level (easy, medium, hard) with color coding
  • Source document and page reference
  • Last run result (PASS/FAIL) if the query has been evaluated

Inline editing

Click "Edit" on any query to modify:

  • Query text -- the test question
  • Expected facts -- comma-separated list of facts the answer must contain

Changes are saved immediately to the server.

Per-query actions

ActionDescription
TrialAvailable for pending queries. Moves to sandbox testing mode.
ApproveAvailable for pending/trial/rejected queries. Marks as valid.
EditOpens inline editor for query text and expected facts.
RejectMarks as invalid. Will not be included in eval runs.
GoldenAvailable for approved queries that have passed. Promotes to golden set.

Run results inline

After running, each query shows additional detail:

  • Missing facts -- which expected facts were not found (for failures)
  • Confidence -- pipeline confidence score as a percentage
  • Latency -- response time in seconds
  1. Click "Generate Queries" to create 15-25 queries
  2. Scan through the list, rejecting any that are clearly bad
  3. Edit queries where the wording or expected facts need refinement
  4. Move promising queries to Trial status
  5. Run a trial eval to see which pass without affecting your official score
  6. Review trial results -- edit expected facts for near-misses, reject bad queries
  7. Promote passing trials to Approved (or directly to Golden for critical queries)
  8. Repeat with more documents until you have 50+ golden queries

Trial as a safety net

The trial step (step 4-6) is optional but strongly recommended for auto-generated queries. It prevents bad expected facts from creating false failures in your official score. A typical batch of 20 auto-generated queries will have 3-5 that need fact corrections -- trial catches these before they matter.

For manually-written queries from domain experts who are confident in the expected facts, you can skip trial and go directly to Approved.