Archived pilot · Historical run

Prüfstand / artifact-generative-003-b / Phi-4-mini-instructagi.jetzt Prüfstand · task set v2 · artifact-generative-003-b

Aurora/Mesh-Gradient-Art

Visual craft

built by Phi-4-mini-instruct via ollama 0.32.15 model only

Automated checks
1 of 2 format checks passed — no check of the result2 without a recorded result
Judge
Evaluation not published
Started
Duration
12 s

Artifact

Rendered by agi.jetzt from the model-produced artifactRendered offline in an isolated renderer from the stored file (sha256 5ef7c9757617…). The file itself is not served.

Screenshot (Desktop) of the artifact Phi-4-mini-instruct built for “Aurora/Mesh-Gradient-Art”
Screenshot (Desktop) of the artifact Phi-4-mini-instruct built for “Aurora/Mesh-Gradient-Art”
Desktop · 1280 px
Screenshot (Mobile) of the artifact Phi-4-mini-instruct built for “Aurora/Mesh-Gradient-Art”
Screenshot (Mobile) of the artifact Phi-4-mini-instruct built for “Aurora/Mesh-Gradient-Art”
Mobile · 390 px

Same brief, other models

Scroll sideways. Each run had its own runtime and limits — compare the artifacts, not a score.

Screenshot (Desktop) of the artifact Claude Fable 5 built for “Aurora/Mesh-Gradient-Art”

Claude Fable 5

via claude-code-cli 2.1.214model + harness

Run of 18 Jul 2026

2 format checks passed — no check of the result

2 render and interaction checks not run

Evaluation not published

Screenshot (Desktop) of the artifact GPT-5.6 Luna built for “Aurora/Mesh-Gradient-Art”

GPT-5.6 Luna

via codex-cli 0.144.5model + harness

Run of 18 Jul 2026

2 format checks passed — no check of the result

2 render and interaction checks not run

Evaluation not published

Screenshot (Desktop) of the artifact Phi-4-mini-instruct built for “Aurora/Mesh-Gradient-Art”

Phi-4-mini-instruct

via ollama 0.32.15model only

Run of 30 Aug 2026token limit 16000

1 of 2 format checks passed — no check of the result

2 render and interaction checks not run

Evaluation not published

Screenshot (Desktop) of the artifact Qwen3.8-27B built for “Aurora/Mesh-Gradient-Art”

Qwen3.8-27B

via ollama 0.32.15model only

Run of 3 Sept 2026

2 format checks passed — no check of the result

2 render and interaction checks not run

Evaluation not published

Automated checks

Automated checks of the stored HTML file, without running it in a browser. Details are the runner’s German originals. Format and presence checks say nothing about whether the result fulfils the brief.

CheckKindResult
single_html5_filedetail not recordedFormatFailed
no_external_requestsdetail not recordedRenderingUnknown
renders_without_console_errorsdetail not recordedRenderingUnknown
viewport_metadetail not recordedFormatPassed

2 render and interaction checks are recorded without a result; whether they ran is not recorded.

Evaluation

Deterministic score
No score — only the format was checked, not the result
Judge
not published for this run

WhyNo judge evaluation was published for this run.

Limits of this run

  • No executed check with a shown result evaluates what was built.
  • No judge evaluation is published for this run. There is therefore no quality verdict — only the automated checks listed here.
  • 2 checks have no recorded result. Unknown stays unknown — it is not counted as failed.
  • Token limit 8192: other runs of this task were recorded with 16000, so this run is not like-for-like with them.
  • Not fully reproducible; the recorded reason is listed under “Environment”.

Task

Brief (turn 1)
Baue als EINE einzelne HTML-Datei (kein Framework, kein externes Asset, keine externen Fonts) einen bildschirmfüllenden, animierten Hintergrund im Stil Biolumineszenz in der Tiefe: tiefes Petrol bis Schwarz, darüber schwebende, leuchtende Schlieren in Türkis, Cyan und einem kalten Magenta, die sich träge wie Quallen bewegen. Geheimnisvoll, ruhig, kühl. Helle, klare Wortmarke. für die Startseite eines Tiefsee-Forschungsprojekts. Anforderungen: - Ein atmosphärischer, animierter Verlauf (Aurora / Mesh-Gradient / fließende Farbwolken), der den gesamten Viewport füllt und sich langsam, organisch bewegt — via CSS-Animation oder Canvas, selbst erzeugt. - Ruhige, hochwertige Bewegung mit weichem Easing; die Farben durchmischen sich stimmig, kein hartes Flackern, keine sichtbaren Kanten oder Banding-Streifen. - Darüber eine knappe, zentrierte Bildmarke: „Abyssal" als elegante Wortmarke plus eine kurze, ruhige Zeile darunter — gut lesbar über dem bewegten Grund. - `@media (prefers-reduced-motion: reduce)`: Bewegung anhalten, ein ebenso schöner statischer Verlauf bleibt. - Bildschirmfüllend ohne Scrollbalken, kein horizontaler Overflow.

From the task seed (German original); the actual prompts add output-format instructions and other wording.

Environment

Runtime
ollama 0.32.15
Execution
model onlyThe runner reached the model directly — no agent harness, no tools.
Profile
v3-local-phi4-8192-v1 · T=0.2 · seed 7331 · 1 turn · no tools
Max tokens
8192
Reproducibility
not fully reproducible8192-token execution profile differs from historical 16000-token profile; upstream weight revision remains unknown
Run window (runner clock)
2026-10-01T18:35:10.313+00:00 → 2026-10-01T18:35:21.98+00:00

Provenance

Source system
agi.jetzt v3 (Prüfstand worker)
Source run
55b6c305-9d82-4baa-917d-43f1a960e2f2
Status
submitted by the Prüfstand worker (v3)
Run manifest (sha256)
not recorded
Artifact (sha256)
5ef7c9757617be3adda0f99b662d2ba711dbe73c37a55b7286dfeec8ebe31d4c
Checks version
not recorded

Model The runner’s model identifier maps to Phi-4-mini-instruct in the agi.jetzt register (verified mapping).

What this is evidence for

Not an AGI measureThis run shows one thing: what a model built as a single HTML file from a precise brief. It says nothing about general intelligence.Checked automatically in this run: 1 of 2 format checks passed — no check of the result · 2 without a recorded result.

What the task set is meant to measure
  • Artifact creation from a precise brief
  • Instruction following
  • Static checks of the file (no functional test)
Not in its scope
  • General intelligence / AGI
  • Agents and tool use
  • Multimodal input
  • Retrieval
  • Conversation

Published and unpublished runs

4 of 15 verified v2 runs of this task are published. 4 of the 6 models with recorded runs have a published run.Not published: Claude Haiku 4.5 (3 runs; 0 of 2 format checks passed); GPT-5.6 Sol (3 runs; 0 of 2 format checks passed).In addition, 1 published run has no selection record (not part of the v2 import).Source: the selection records of the published runs. They count the task across its variants and know only models with at least one published run.

This run has no selection record (it is not part of the v2 import). How many further runs of this model exist is not recorded.

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