GAD
v10
requirements v4
2026-04-09
Gate failed
API interrupted — not comparable

Escape the Dungeon · GAD

escape-the-dungeon/v10

Composite score

0.000

API interrupted · Anthropic server overload

This run was stopped by an HTTP 529 overloaded_error from the Anthropic API — a server-side transient load issue, not a rate limit or agent failure. The data captured here reflects partial progress before the API stopped responding. Excluded from cross-round comparisons per decision gad-64.

Details: Anthropic API returned 529 overloaded_error at tool_uses=55. Not a rate limit (full budget available), transient server overload. Previous attempt (not preserved) crashed at tool_uses=18 with the same error.

Full round 4 findings →

Human review note

GAD v10 — api-interrupted per gad-64 (HTTP 529 pattern crashed the planning phase before scene implementation). Main title screen felt novel and visually cool which is where the 0.10 on UI polish comes from, but everything beyond it is absent: no game loop, no mechanics, no ingenuity payoff, no stable play. Preserved as a data point, excluded from cross-round quality comparisons (gad-63 + gad-64). User playtest 2026-04-09.

Reviewed by human · 2026-04-09

Dimension scores

Where the composite came from

Each dimension is scored 0.0 – 1.0 and combined using the weights in evals/escape-the-dungeon/gad.json. Human review dominates on purpose — process metrics alone can't rescue a broken run.

DimensionScoreBar
Human review0.020
Requirement coverage0.083
Planning quality0.900
Per-task discipline0.000
Time efficiency0.700

Composite formula

How 0.000 was calculated

The composite score is a weighted sum of the dimensions above. Weights come from evals/escape-the-dungeon/gad.json. Contribution = score × weight; dimensions sorted by contribution so you can see what actually moved the needle.

DimensionWeightScoreContribution
planning_quality0.150.9000.1350(72%)
time_efficiency0.050.7000.0350(19%)
requirement_coverage0.150.0830.0125(7%)
human_review0.300.0200.0060(3%)
per_task_discipline0.150.0000.0000(0%)
skill_accuracy0.100.0000.0000(0%)
Weighted sum0.900.1885

Note: The weighted sum above (0.1885) doesn't exactly match the stored composite (0.0000). The difference is usually the v3 low-score cap (composite < 0.20 → 0.40, composite < 0.10 → 0.25) or a run with an older scoring pass.

Skill accuracy breakdown

Did the agent invoke the right skills at the right moments?

Skill accuracy data isn't relevant for this run (no expected trigger set).

Human review rubric

Where the reviewer scored this run best and worst

Each axis is a rubric dimension from evals/escape-the-dungeon/gad.json human_review_rubric. The filled polygon shows the reviewer's per-dimension scores, 0.0 at center to 1.0 at the edge. The aggregate score (0.020) is the weighted sum of the dimensions using weights declared in the rubric.

0.250.500.751.00PlayabilityUIpolishMechanicsimplementationIngenuity requirementmetStability
DimensionScoreWeight

Playability

0.000.30

UI polish

0.100.20

Mechanics implementation

0.000.20

Ingenuity requirement met

0.000.20

Stability

0.000.10

Gate report

Requirement coverage

Total criteria
12
Fully met
0
Partially met
2
Not met
10

Reviewer notes on gates

G1 NOT MET — no game loop. Dist is scaffold-only title 'ESCAPE THE DUNGEON v10 — scaffold booted' with no navigation, combat, or forge wired. router.ts is an 11-line stub. G2 NOT MET — runes and spells data authored (221 lines of runes.ts) but no forge UI. G3 PARTIAL — scaffold title has iconify-icon + styled h1 but that is the only rendered surface. G4 NOT MET — pressure mechanics not implemented beyond data declarations.

Process metrics

How the agent actually worked

Primary runtime
older runs may not carry runtime attribution yet
Agent lanes
0
0 root · 0 subagent · source missing
Observed depth
0 traced event(s) with agent lineage
Wall clock
9m
2 phases · 6 tasks
Started
Apr 9, 5:30 AM
Run start captured in TRACE timing metadata
Ended
Apr 9, 5:39 AM
Missing end time usually means the run was scaffolded but never finalized
Tool uses
55
1,216 tokens · API 529 interrupted — more tool uses than Bare v5 (45) or Emergent v4 (45) but NO playable game produced. The 55 tool uses went to planning + data authoring, not scene implementation.
Commits
0
0 with task id · 0 batch
Planning docs
0
decisions captured · 7 phases planned
Client debug · NEXT_PUBLIC_CLIENT_DEBUG=1
0 lines

No events yet. Window errors, unhandled rejections, and React render errors appear here. Set NEXT_PUBLIC_CLIENT_DEBUG_CONSOLE=1 to mirror console.error / console.warn.