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Benchmark week local-openai-gpt-5-nano-full-public-judge-20260411

OrgX Autonomous Initiative Benchmark

Public scorecard, curated examples, and benchmark metadata for week local-openai-gpt-5-nano-full-public-judge-20260411. Inspect this public bundle here, or run the same benchmark inside OrgX through Benchmark Lab.

Flow multiplier

232.17x

Quality delta vs human

3.9

Benchmark version

2026-q1

Task count

15

Repeats per task

3

Domains

cross_functional, design, engineering, marketing, ops, product, sales

Providers / models / runtimes

openai · gpt-5-nano, gpt-5.4-nano, gpt-5.4-mini, gpt-5.4 · node-24.13.0

Publication status

publish-with-caveats

Download the benchmark bundle

Citable claims

Exact statements this benchmark week supports

These statements are generated from the published dataset and link back to the raw files, methodology, and public benchmark repository. They are intended to be stable enough for external citation.

methodology

Local public-catalog run using OpenAI Responses API.

methodology

Artifacts were scored by independent OpenAI judge calls that did not generate the artifact.

methodology

Public quality scores use median criterion scores and flag material judge disagreement for human review.

Artifact inspection

Inspect the actual generated work

These previews come directly from examples.json. The current design tasks produce markdown design handoff artifacts rather than screenshots, so this view exposes the generated docs, judge aggregates, disagreement, and human-review flags in one place.

Artifacts

45

Design

12

Review

45

designtier1_quickgpt-5-nanoindependent_judges

Mobile Artifact Viewer Remediation

design-artifact-viewer-mobile-remediation-r1

Quality

85.3

Complete

88%

Judges

3

Disagree

10.0

Mobile Artifact Viewer Remediation

This document provides a concrete, implementable remediation plan for the Mobile Artifact Viewer in the Live Initiative Room. It covers concrete mobile usability failures, a clear mobile information architecture (IA) for content, provenance, metadata, and review actions, state coverage (empty, loading, long-document, error), implementation-ready guidance for engineering, and accessibility considerations including touch targets, focus, reading order, and screen reader requirements.

1) Core mobile UX diagnosis

Header real estate: Large header obstructs content; reduce height and use a compact top bar with essential actions.

Ambiguous content regions: Users cannot tell if they are reading artifact content, provenance, or review controls due to poor tab labeling and inconsistent visual cues.

Action discovery: Primary actions (comment, approve, request changes) are buried; users struggle to locate controls.

Scroll tension: Long documents require excessive vertical scrolling with no persistent navigation anchors.

State feedback: Empty/loading/error states lack actionable guidance and retry options.

Prose and code readability: Markdown content and code diffs render with small typography and cramped line-length on narrow screens.

Accessibility gaps: Touch targets <44px, unclear focus order, screen readers not enumerating sections properly.

2) Proposed mobile information architecture

Global shell: persistent bottom rail with essential actions; compact header that transforms on scroll.

Top-level tabs (segmented control):

Artifact (content)

Provenance (origin, creators, version history)

Review (comments, tasks, evidence, approvals)

Metadata (tags, dates, generation data)

Within Artifact tab:

designtier1_quickgpt-5-nanoindependent_judges

Mobile Artifact Viewer Remediation

design-artifact-viewer-mobile-remediation-r2

Quality

88.9

Complete

90%

Judges

3

Disagree

6.7

Mobile Artifact Viewer Remediation

This artifact is a remediation plan for a mobile artifact viewer within a live initiative room. The viewer supports markdown documents, code diffs, task evidence, generated assets, and metadata. The goal is to reduce perceived cramped space, optimize header usage, improve discoverability of reading vs provenance vs review controls, and ensure accessible, touch-friendly interactions across states (empty, loading, long-document, error). The plan combines concrete mobile usability fixes, a clear information architecture, header/tab/action placement guidelines, state handling, accessibility targets, and engineering-ready component guidance.

1) Core Mobile UX Diagnosis

Header consumption: Large header with branding and controls dominates the viewport, leaving insufficient space for content.

Ambiguous content zones: It is unclear whether the user is reading artifact content, viewing provenance/metadata, or performing review actions; tabs and sections are not clearly separated.

Hidden actions: Primary actions (e.g., comment, review, export) are buried in overflow or difficult to reach on small screens.

Scrolling friction: Long documents require excessive vertical scrolling without persistent context markers.

State gaps: Empty, loading, long-document, and error states lack portable, consistent affordances (retry, helpful hints, context-aware tips).

Accessibility gaps: Touch targets too small, unclear focus order, reading order might not align with visual order, screen reader landmarks not properly defined.

Performance cues: Loading states do not provide progress indicators or skeletons matching content layout.

2) Proposed Mobile Information Architecture

Global structure (top to bottom):

Persistent slim header with essential controls

Contextual content area with a segmented control or tabs for: Artifact, Provenance & Metadata, Review & Actions

Floating action bar (FAB) for primary actions (e.g., Add Comment) on the lower area when not obstructing content

Sticky bottom toolbar for secondary actions when tabs are on the content view

IA details:

Content section (Artifact): Renders markdown, code diffs, task evidence, generated assets

designtier1_quickgpt-5-nanoindependent_judges

Mobile Artifact Viewer Remediation

design-artifact-viewer-mobile-remediation-r3

Quality

90.0

Complete

90%

Judges

3

Disagree

7.5

Mobile Artifact Viewer Remediation

This document provides a comprehensive remediation plan for the mobile artifact viewer in a live initiative room. It focuses on concrete mobile usability fixes, a clear information architecture for content, provenance, metadata, and review actions, robust state handling (empty, loading, long-document, error), engineering-ready component guidance, and accessibility best practices. The plan is structured to translate directly into design specs, UX flows, and implementation tasks for mobile teams.

1) Core mobile UX diagnosis

Header consumes excessive vertical space; use a collapsible header with persistent minimal chrome.

Primary actions (e.g., edit, review, download) are buried; introduce a fixed bottom action bar with context-aware icons.

Content area lacks clear separation between: artifact content, provenance, metadata, and review actions. Users cannot easily identify which tab or region they are viewing.

Tabs are small and hard to tap; increase hit targets and provide visible active state.

Long documents cause vertical scrolling without anchors; users need quick navigation and reading order cues.

Error states show generic messages with no actions.

Concrete improvements:

Collapse header on scroll to reclaim vertical real estate while keeping artifacts title or ID visible.

Replace top header with a slim bar containing artifact title, with a sticky subheader for tabs.

Implement a persistent bottom action dock that presents 3 primary actions (View/Comment/Provenance) with clear affordances.

Introduce a triad of focus zones: Artifact content, Provenance & Metadata, Review Actions.

Add reading order indicators when switching tabs, with consistent visual rhythm.

Provide concrete, actionable error states with retry and offline guidance.

2) Proposed mobile information architecture

IA Zones (mobile-optimized):

designtier1_quickgpt-5-nanoindependent_judges

Live Room Design Critique

design-live-room-critique-r1

Quality

87.7

Complete

95%

Judges

3

Disagree

7.0

Live Room Design Critique

This critique analyzes a live initiative room that displays the initiative title, current task, outputs, blockers, and queue. Users report a lack of insight into progress, ownership, and how the current task fits into the larger initiative. The goal is to improve clarity, reduce cognitive load, and present a cohesive progress narrative with minimal chrome.

1) Core UX diagnosis

Information overload without narrative: The room lists multiple data points (title, current task, outputs, blockers, queue) but offers little story about progress, ownership, and dependencies.

Ambiguity about ownership: No explicit assignee or role indicates who is responsible for the current task.

Unclear place in hierarchy: It’s hard to see how the current task aligns with milestones, initiative phases, or overall goals.

Temporal confusion: There is no clear sense of whether tasks are upcoming, in-progress, or blocked, leading to status ambiguity.

Interaction friction: Users cannot easily skim for critical signals (risk, throughput, blockers) and must parse dense rows of data.

Visual fragmentation: Information is scattered; there is no consistent visual language to guide attention to the most important signals.

2) Hierarchy problems

Lack of top-level signal: No one-glance health indicator (green/yellow/red) for initiative health.

Inconsistent emphasis: Task details, outputs, and blockers have similar visual weight, diluting priority cues.

No parent-child relationship: The “where this task sits in the larger initiative” is not visually connected to milestones, phases, or goals.

Ambiguous ownership: No clear mapping from task to contributor or role; loom of collaborators is hidden.

Sparse historical thread: No quick access to recent changes, decisions, or completed tasks to provide context.

3) Recommended redesign principles

Tell a concise progress story in one view: Provide a clear narrative of current status, ownership, and how it maps to the initiative’s goals.

Prioritize signals: Use a small set of critical signals (health, owner, next milestone, blockers) with consistent color and typography.

designtier1_quickgpt-5-nanoindependent_judges

Live Room Design Critique

design-live-room-critique-r2

Quality

89.0

Complete

92%

Judges

3

Disagree

7.3

Live Room Design Critique

This critique analyzes a live initiative room interface that presents: initiative title, current task, outputs, blockers, and queue. User feedback indicates unclear status: users cannot tell what is happening, who is working, or how the current task sits within the larger initiative. The goal is to improve information hierarchy, provide a concrete above-the-fold structure, reuse existing components, and exercise restraint to avoid chrome-heavy design.

1) Core UX diagnosis

Information overload without priority: The list of fields (title, current task, outputs, blockers, queue) presents multiple data points without a clear signal about status, urgency, or ownership.

Ambiguous ownership and progress signals: No explicit indication of who is working on the current task or their role, nor progress indicators or deadlines that show how far along the initiative is.

Weak contextual placement: The relationship of the current task to the initiative, milestones, or larger goals is not visible, so users can’t infer why this task matters or what comes next.

Inconsistent status semantics: Outputs and blockers are binary in appearance; there is no standard color coding or iconography to convey risk or progress.

Temporal ambiguity: There’s no sense of time (start date, ETA, sprint boundaries), making it hard to gauge urgency.

2) Hierarchy problems (diagnoses)

Missing top-level status header: There is no single status banner that communicates progress at a glance (e.g., Overall Initiative Health).

Irrelevant or low-signal items in fold: Outputs and queue may be important, but without context they dilute priority; they should be secondary to progress signals.

Lack of owner and role clarity: People and roles are not visible where it matters most (who is currently working and their capacity).

No relation to milestones: The current task isn’t anchored to a milestone or phase in the initiative, making it hard to gauge alignment with goals.

Visual noise vs. signal: Current chrome (borders, labels) competes with content. Minimal chrome with meaningful signals is preferred.

3) Recommended redesign principles

Clear top-level status signal: Provide an at-a-glance health/status bar for the initiative with color semantics (green/yellow/red) and a one-line descriptor.

Ownership and collaboration signals: Show the current task owner(s), role(s), and last update time; include avatars if possible.

Contextual framing: Always display how the current task fits into the initiative’s milestones and next steps; include a progress breadcrumb.

designtier1_quickgpt-5-nanoindependent_judges

Live Room Design Critique

design-live-room-critique-r3

Quality

88.0

Complete

94%

Judges

3

Disagree

10.0

Live Room Design Critique

This critique analyzes a live initiative room UI showing initiative title, current task, outputs, blockers, and queue, with user feedback that it is unclear what is happening, who is working, or where the current task sits in the larger initiative. The goal is to provide a concrete, above-the-fold redesign plan that clarifies information hierarchy, supports quick orientation, and enables reuse of existing components with minimal chrome.

1) Core UX Diagnosis

Information overload with low signal-to-noise: The room exposes many fields (title, current task, outputs, blockers, queue) without clear prioritization, making it hard to scan for relevance.

Missing narrative context: There is no concise sense of progress, milestones, or how tasks map to the initiative roadmap.

Ambiguity about ownership and timing: No clear delineation of who is responsible for the current task or its time window within the initiative.

Inconsistent affordances: Different elements appear as static blocks rather than living status indicators (e.g., tasks as to-dos, blockers as risks, outputs as measurable progress).

Cognitive load from micro-details: Users must infer relationships (how blockers affect progress, how queue relates to the current task) instead of being presented with explicit connections.

Poor scene-setting for collaboration: No at-a-glance cues about recent activity, upcoming steps, or who joined/left the room.

2) Hierarchy Problems

Hierarchy gap 1: Global vs. task-level context is flat. There is no clear hierarchy showing initiative > milestone > current task > sub-tarts.

Hierarchy gap 2: Actionability vs read-only data—blocked items and owners require mental mapping to infer status.

Hierarchy gap 3: Signals lack prioritization: outputs, blockers, queue have the same visual weight, causing important status signals to be overlooked.

Hierarchy gap 4: Temporal ordering is unclear: there is no time axis or velocity indicator to show where the current task sits in the initiative timeline.

Hierarchy gap 5: Ownership signals are weak: who is working is not prominently displayed; avatars or names are small or embedded rather than foregrounded.

3) Recommended Redesign Principles

Prioritize at-a-glance status: Create a clear status crown showing initiative health, progress, and next milestone.

Create a simple information hierarchy: Use typography, color, and spacing to distinguish Initiative > Milestone > Current Task > Details.

Mode assumptions

modelSelection

gpt-5-nano was selected for the cheapest complete OpenAI smoke run.

reasoningEffort

minimal

judgeProtocol

Artifacts were scored by independent judge calls that did not generate the artifact.

Headline metrics

vs human speedup

232.17

No confidence interval available

Sample size:

vs human quality delta

3.94

No confidence interval available

Sample size:

autonomous completion rate

1

No confidence interval available

Sample size:

cost per task cents

2.77

No confidence interval available

Sample size:

generation cost per task cents

0.05

No confidence interval available

Sample size:

judging cost per task cents

2.71

No confidence interval available

Sample size:

human review recommended rate

1

No confidence interval available

Sample size:

Task assumptions

What this week actually measured

Download tasks.json
designtier1_quick3 repeats

Mobile Artifact Viewer Remediation

Produce a practical mobile UX remediation plan for a dense artifact viewer used to review generated outputs inside a live initiative room.

Human baseline provenance

senior mobile product design remediation estimate, Apr 2026

expert_estimate · sample size 2 · Senior product designer with mobile SaaS review-workflow experience

Seed provenance

Decision-ready criteria: practical-mobile-diagnosis, viewer-information-architecture, state-coverage, implementation-ready-guidance, mobile-accessibility

Observed execution modes

  • Mode metadata unavailable
designtier1_quick3 repeats

Live Room Design Critique

Critique and improve a live execution-room interface with a focus on hierarchy, polish, and clarity.

Human baseline provenance

senior product design review estimate, Mar 2026

expert_estimate · sample size 2 · Senior product designer with SaaS execution-room experience

Seed provenance

Decision-ready criteria: diagnoses-hierarchy, proposes-structure, references-component-system, high-taste

Observed execution modes

  • Mode metadata unavailable
designtier1_quick3 repeats

Mobile Modal Interaction Spec

Create a mobile interaction specification for decision, approval, input, and confirmation modals inside an agentic workflow product.

Human baseline provenance

senior interaction design pattern estimate, Apr 2026

expert_estimate · sample size 2 · Senior interaction designer with mobile workflow and accessibility experience

Seed provenance

Decision-ready criteria: taxonomy-clarity, mobile-interaction-specificity, action-hierarchy, state-and-accessibility-coverage, engineering-ready

Observed execution modes

  • Mode metadata unavailable
marketingtier1_quick3 repeats

Marketing Launch Brief

Produce a launch brief for a new AI product feature with audience, angle, channels, and proof points.

Human baseline provenance

solo founder + fractional marketer estimate, Mar 2026

hybrid · sample size 2 · Founder plus B2B SaaS fractional marketing lead

Seed provenance

Decision-ready criteria: has-positioning, has-message-pillars, has-channel-plan, proof-emphasis, has-cta

Observed execution modes

  • Mode metadata unavailable
opstier1_quick3 repeats

Incident Postmortem

Write a structured incident postmortem from a timeline of events. Tests ability to synthesize operational data into a clear narrative with root cause analysis and action items.

Human baseline provenance

senior engineering manager postmortem estimate, Mar 2026

expert_estimate · sample size 1 · Senior engineering manager with incident review responsibility

Seed provenance

Decision-ready criteria: has-exec-summary, has-root-cause, has-impact-quantified, has-action-items, has-timeline, has-lessons

Observed execution modes

  • Mode metadata unavailable
engineeringtier1_quick3 repeats

PR Description from Diff

Write a comprehensive pull request description given a code diff and commit messages. The output should include a summary, list of changes, testing instructions, and any migration notes.

Human baseline provenance

senior engineer PR authoring estimate, Mar 2026

expert_estimate · sample size 1 · Senior software engineer working in a code review workflow

Seed provenance

Decision-ready criteria: has-title, has-summary, has-changes-list, has-testing-instructions, mentions-auth-tokens

Observed execution modes

  • Mode metadata unavailable
producttier1_quick3 repeats

Product Initiative Brief

Turn a founder request into a crisp initiative brief with goals, user, scope, metrics, and sequencing. Benchmarks product framing quality.

Human baseline provenance

PM lead + founder review estimate, Mar 2026

hybrid · sample size 2 · Product lead working with a technical founder on initiative framing

Seed provenance

Decision-ready criteria: has-problem-statement, has-success-metrics, has-scope, has-workstreams, founder-decision-moment

Observed execution modes

  • Mode metadata unavailable
salestier1_quick3 repeats

Sales Outreach Sequence

Build a founder-quality outreach sequence for a specific ICP with message angles and proof-driven CTA.

Human baseline provenance

founder-led outbound estimate, Mar 2026

expert_estimate · sample size 1 · Founder-operator running early outbound without a dedicated SDR

Seed provenance

Decision-ready criteria: personalized-icp, proof-led-cta, multi-step-sequence, objection-angle

Observed execution modes

  • Mode metadata unavailable
cross_functionaltier2_medium3 repeats

Cross-Functional Launch Plan

Create a decision-ready launch plan that coordinates product, design, engineering, marketing, and sales for a new live execution-room release.

Human baseline provenance

founder + leads planning session estimate, Mar 2026

hybrid · sample size 2 · Founder, product lead, and functional leads coordinating a launch plan

Seed provenance

Decision-ready criteria: covers-all-domains, sequencing, launch-readiness, proof-orientation, measurable-metrics

Observed execution modes

  • Mode metadata unavailable
designtier2_medium3 repeats

Live Room Responsive System Spec

Produce a production-ready responsive system specification for a live initiative room across mobile, tablet, and desktop.

Human baseline provenance

principal product design systems estimate, Apr 2026

expert_estimate · sample size 2 · Principal product designer with design-system and responsive SaaS experience

Seed provenance

Decision-ready criteria: breakpoint-specificity, durable-header-rules, system-thinking, artifact-and-blocker-flows, implementation-checklist

Observed execution modes

  • Mode metadata unavailable
engineeringtier2_medium3 repeats

Engineering Release Readiness Review

Review a release plan for technical risks, rollout gaps, verification coverage, and rollback readiness. Benchmarks engineering execution judgment, not only writing polish.

Human baseline provenance

senior engineering lead release review estimate, Mar 2026

expert_estimate · sample size 2 · Senior engineering lead responsible for rollout and incident readiness

Seed provenance

Decision-ready criteria: recommendation-quality, identifies-operational-risk, proposes-guardrails, incident-thinking

Observed execution modes

  • Mode metadata unavailable
marketingtier2_medium3 repeats

Marketing Proof Campaign Brief

Build a campaign brief that uses real outputs, artifacts, and live evidence as the primary conversion mechanism. Benchmarks proof-led marketing judgment.

Human baseline provenance

fractional growth lead campaign brief estimate, Mar 2026

hybrid · sample size 2 · B2B SaaS growth lead working with a founder on launch messaging

Seed provenance

Decision-ready criteria: proof-assets, channel-specific, anti-pattern-awareness, measurable

Observed execution modes

  • Mode metadata unavailable
opstier2_medium3 repeats

Ops Escalation Playbook

Create a practical escalation playbook for an initiative that is blocked by integrations, billing, and approval dependencies. Benchmarks operational clarity under constraint.

Human baseline provenance

ops lead escalation playbook estimate, Mar 2026

expert_estimate · sample size 2 · Operations lead responsible for escalation and service continuity

Seed provenance

Decision-ready criteria: blocker-specific, sla-owner-clarity, communication-ready, recovery-checklist

Observed execution modes

  • Mode metadata unavailable
producttier2_medium3 repeats

Product Retention Experiment Plan

Turn a product signal into a decision-ready retention experiment plan with target behavior, instrumentation, and launch sequencing.

Human baseline provenance

PM retention experiment estimate, Mar 2026

hybrid · sample size 2 · Product manager focused on onboarding and activation experiments

Seed provenance

Decision-ready criteria: behavior-change, experiment-specific, measurement-plan, rollout-sequencing

Observed execution modes

  • Mode metadata unavailable
salestier2_medium3 repeats

Sales Competitive Battlecard

Create a concise battlecard that helps a founder or GTM lead position OrgX against direct-model and agent-platform alternatives.

Human baseline provenance

founder-led competitive positioning estimate, Mar 2026

hybrid · sample size 2 · Founder or first GTM hire creating a competitive battlecard for early sales

Seed provenance

Decision-ready criteria: explicit-comparison, acknowledges-weakness, proof-moments, founder-talk-track

Observed execution modes

  • Mode metadata unavailable