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Benchmark week local-openai-gpt-5-nano-full-judge-20260530

OrgX Autonomous Initiative Benchmark

Public scorecard, curated examples, and benchmark metadata for week local-openai-gpt-5-nano-full-judge-20260530. Inspect this public bundle here, or run the same benchmark inside OrgX through Benchmark Lab.

Flow multiplier

373.32x

Quality delta vs human

10.5

Benchmark version

2026-q1

Task count

15

Repeats per task

2

Domains

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

Providers / models / runtimes

openai · gpt-5-nano, gpt-5-mini, gpt-5.1 · 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

30

Design

8

Review

23

designtier1_quickgpt-5-nanoindependent_judges

Mobile Artifact Viewer Remediation

design-artifact-viewer-mobile-remediation-r1

Quality

100.0

Complete

100%

Judges

3

Disagree

3.3

Mobile Artifact Viewer Remediation

This document outlines a concrete remediation plan for the mobile artifact viewer in the live initiative room. It covers a practical mobile UX diagnosis, a proposed mobile information architecture (IA) for content, provenance, metadata, and review actions, explicit header/tab/action placement rules, state handling for empty/loading/long-document/error, accessibility and touch-target requirements, and component-level engineering guidance. The plan is designed to be implemented directly by frontend engineers and product developers, with specific measurements, ARIA usage, and responsive behaviors that address the issues raised by users about cramped layout, header dominance, discoverability of actions, and clear separation between reading, provenance, and review controls.

1) Core Mobile UX Diagnosis

Header consumption: The top bar occupies a large fraction of vertical space, leaving insufficient viewport for content when the user first opens the artifact.

Context ambiguity: Users cannot easily distinguish sections for reading content vs provenance vs review controls due to mixed tabs and insufficient affordances.

Action discoverability: Key actions (mark as read, comment, approve, diff expand, metadata toggle) are buried in a dense header or overflow menu, causing friction.

Content fragmentation: Markdown, code diffs, task evidence, assets, and metadata should be navigable with minimal cognitive load; current layout forces horizontal scrolling and poor focus handling.

Performance cues: Loading skeletons and empty states are not clear; users cannot tell whether content is forthcoming or missing.

Accessibility gaps: Touch targets are too small in places, focus order is non-linear, screen reader landmarks are missing, and reading order may be disrupted by tabbed content.

2) Proposed Mobile Information Architecture

Global structure (top to bottom):

Header bar with compact title, artifact status badge, and essential quick actions.

Primary navigation as a segmented control (context tabs) below header: Reading, Provenance, Review.

Content container that switches content per tab with consistent scroll.

Floating action bar (FAB) for primary action(s) when in Reading: e.g., Jump to End, Toggle Read/Unread, Comment. Secondary actions exposed in bottom sheet.

Persistent bottom bar for metadata quick glance (tags, last updated) and a shortcut to metadata panel.

Per-tab content layout:

Reading: Markdown renderer with inline code blocks, expandable sections, and a per-section reading progress indicator.

designtier1_quickgpt-5-nanoindependent_judges

Mobile Artifact Viewer Remediation

design-artifact-viewer-mobile-remediation-r2

Quality

100.0

Complete

100%

Judges

3

Disagree

8.3

Mobile Artifact Viewer Remediation

This document outlines a concrete remediation plan for the Mobile Artifact Viewer in the live initiative room. It provides actionable findings and engineering-ready guidance to reduce cramped UX, clarify provenance vs. content vs. review controls, and improve accessibility on mobile devices. The artifact viewer supports rendering Markdown documents, code diffs, task evidence, generated assets, and metadata. The plan covers core mobile UX diagnosis, a clear mobile IA, header/tabs/action placement rules, state handling for empty/loading/long-document/error scenarios, accessibility considerations, and component-level implementation guidance.

1) Core Mobile UX Diagnosis

Header consumes excessive vertical space; reduce to a compact, contextual header with persistent but minimal chrome.

The primary content area feels cramped due to dense vertical rhythm and insufficient whitespace between content types (markdown, diffs, assets, metadata).

Action discovery is poor: essential actions (provenance, review controls, export/share) are buried in an overflow menu or at the bottom tab bar.

Tabs are ambiguous; users can’t easily distinguish which section they are viewing (artifact, provenance, metadata, reviews).

Scrolling behavior lacks clear reading progress and quick navigation anchors for long documents.

Proximity issues: related controls (e.g., “Mark as read”, “Approve”, “Comment”) aren’t visually connected to the content they affect.

Reading order and focus are not optimized for screen readers; order does not reflect intended reading sequence.

MD rendering, diffs, and assets have variable tap targets; touch targets aren’t reliably sized for thumbs.

2) Proposed Mobile Information Architecture

Global chrome: compact header with title, a secondary icon row for quick actions (Back, Prove provenance, Metadata), and a slim tab bar for primary sections.

IA modules (top to bottom):

Content Stage: Artifact type switcher (markdown, code-diff, task-evidence, generated-asset, metadata) with clear visual state.

Proximity/Context Bar: shows artifact status and reading progress, plus quick actions.

Section Navigator: persistent bottom tab bar with 3-4 primary sections: Artifact, Provenance, Metadata, Actions/Review.

Section specifics:

designtier1_quickgpt-5-nanoindependent_judges

Live Room Design Critique

design-live-room-critique-r1

Quality

97.3

Complete

95%

Judges

3

Disagree

5.3

Live Room Design Critique

This critique evaluates a live initiative room UI that currently displays: initiative title, current task, outputs, blockers, and queue. Users report a lack of clarity about what is happening, who is working, and where the current task sits in the larger initiative. The review provides a hierarchy diagnosis, a concrete above-the-fold structure, recommendations for redesign principles, a proposed component reuse strategy, and a concise verdict on taste and restraint.

1) Core UX Diagnosis

Information density without meaningful hierarchy: The room lists several fields (title, task, outputs, blockers, queue) but lacks a clear prioritization and relational cues showing progress, ownership, and context.

Ambiguity about ownership and responsibility: It is unclear who is currently working on the task and who is accountable for blockers.

Fragmented timeline vs. backlog view: There is no explicit link between the current task and upcoming tasks, milestones, or the broader initiative timeline.

Inconsistent signals of status: Outputs and blockers are present, but their status (in progress, blocked, done) is not visually tied to task state or contribution impact.

Minimal spatial cues for navigation: Users cannot quickly skim to understand where the current task sits within the initiative’s lifecycle.

2) Hierarchy Problems

Top-level priorities are not visually distinguished: Initiative title and current task dominate in some cases, but without status or progress indicators that convey priority or urgency.

Secondary information (blockers, queue, outputs) competes for attention without clear grouping: There is no coherent grouping that maps to mental models like “current work,” “upcoming work,” and “dependencies.”

Lack of lineage and linkage: The relationship between the current task, its outputs, its blockers, and the overall initiative timeline is not explicit.

Absence of owner and collaboration signals: People and avatars are missing or weakly presented, making ownership unclear.

3) Recommended Redesign Principles

Clarify ownership and status at a glance: Show who is working, current task status (not started, in progress, blocked, review), and time-to-completion indicators.

Establish a clear progress narrative: Visualize a timeline or breadcrumb from initiative to current task to next tasks, with milestones.

Create cohesive groupings: Group related items into three columns/sections: Context (initiative title, goal, timeline), Current Work (task, owner, blockers, blockers impact), Forward View (upcoming tasks, queue, dependencies, outputs).

Reduce chrome, increase meaning: Use restrained color, typography, and iconography to convey status without overwhelming the user with chrome.

designtier1_quickgpt-5-nanoindependent_judges

Live Room Design Critique

design-live-room-critique-r2

Quality

100.0

Complete

100%

Judges

3

Disagree

0.0

Live Room Design Critique

This critique analyzes a live initiative room interface that displays the initiative title, current task, outputs, blockers, and queue, but fails to convey who is working, what is happening, and how the current task sits in the larger initiative. The review identifies hierarchy failures, provides a concrete above-the-fold structure, outlines redesign principles, and offers guidance on reusing or simplifying components from an existing system. The goal is to reduce cognitive load, improve situational awareness, and minimize chrome while preserving essential data.

1) Core UX Diagnosis

Information overwhelm without clear task state: The room lists several data points (title, task, outputs, blockers, queue) but lacks a clear, at-a-glance status indicator for progress, owners, and alignment with the initiative.

Ambiguity about ownership and roles: There is no explicit signal of who is currently working on the task, leading to coordination friction.

Missing contextual hierarchy: Users cannot quickly discern the sequence and relation of the current task to upstream goals, milestones, or downstream deliverables.

Lack of temporal context: There is little indication of deadlines, cadence, or how recently the task has changed state, which impedes sprint or flow understanding.

Reduced task traceability: Without a visual map of the initiative’s stage, users cannot see how outputs feed into blockers, queue, and the larger objective.

Visual noise from chrome: The interface risks adding chrome by surfacing too many data fields without prioritization, reducing signal-to-noise ratio.

2) Hierarchy Problems (Diagnoses-Hierarchy)

Failure to establish a clear top-level status bar: No single, prominent indicator of overall initiative health or progress.

Inconsistent priority signals: Outputs, blockers, and queue are presented with equal weight, obscuring what requires attention first.

No role-based context: Where is the “who” information (owners, collaborators, meeting attendees) and how it maps to tasks and blockers?

Lack of relational hierarchy: No emphasis on the relationship between current task, its predecessors, and its successors in the initiative chain.

Absent completion/decision state: Users cannot tell if a task is in design, in review, blocked, or done, at a glance.

3) Recommended Redesign Principles

Make the top-level status obvious: A compact, high-signal status strip showing initiative health, current phase, and time-to-next-milestone.

Show ownership and collaboration signals: Clearly display who is assigned to the current task and who else is involved, with quick-access avatars.

designtier1_quickgpt-5-nanoindependent_judges

Mobile Modal Interaction Spec

design-modal-mobile-interaction-spec-r1

Quality

98.3

Complete

90%

Judges

3

Disagree

13.9

Mobile Modal Interaction Spec

This document defines a mobile-safe modal interaction model for an agentic workflow product. It covers taxonomy by user job-to-be-done (JTBD), mobile layout rules, action hierarchy, state handling (loading, error, disabled, destructive), keyboard and scroll behavior, safe-area/BOT (bottom of screen) behavior, and accessibility requirements for assistive technologies. The spec is designed to be engineering-ready with explicit constraints and measurable criteria.

1) Modal Taxonomy by Job-to-Be-Done (JTBD)

A. Decision Modal (JTBD: Decide a course of action)

Purpose: Affirm/modify a decision with minimal friction.

Risk level: Medium

Examples: Approve, Request more info, Defer

B. Approval Modal (JTBD: Grant formal approval)

Purpose: Provide an official sign-off path with accountability.

Risk level: High

Examples: Approve with reasons, Escalate, Deny

C. Missing Inputs Modal (JTBD: Collect required data to proceed)

Purpose: Gather required fields with inline validation.

Risk level: Medium

Examples: Provide missing field values, Attach documents

D. Artifact Preview Modal (JTBD: Inspect artifact before action)

Purpose: Preview content or artifacts in-context.

Risk level: Low

designtier1_quickgpt-5-nanoindependent_judges

Mobile Modal Interaction Spec

design-modal-mobile-interaction-spec-r2

Quality

95.6

Complete

95%

Judges

3

Disagree

3.3

Mobile Modal Interaction Spec

This document outlines a mobile-optimized modal interaction spec for an agentic workflow product. It defines a taxonomy of modal types by job-to-be-done (JTBD), layout rules, action hierarchy, interaction behavior for mobile (keyboard, scroll, safe-area, bottom-sheet), state handling (loading, error, disabled, destructive), and accessibility requirements to ensure assistive technologies and users with disabilities can effectively use modals without losing context of the underlying initiative state.

1) Modal taxonomy by JTBD

JTBD: Decide (Decision modal)

Purpose: Make a quick yes/no decision with optional qualifiers.

Examples: Approve task, reject with reason, skip step.

JTBD: Approve (Approval modal)

Purpose: Confirm an action that unlocks a downstream workflow.

Examples: Approve budget, approve shipment, escalate with notes.

JTBD: Missing Input (Input gap modal)

Purpose: Collect one or more required fields before continuing.

Examples: Enter missing metadata, attach document, complete form section.

JTBD: Artifact Preview (Preview modal)

Purpose: Preview content in context before finalize.

Examples: Preview report, review attached artifact, view diffs.

JTBD: Upgrade Prompt (Upgrade modal)

Purpose: Present upgrade or upgrade path and capture consent.

Examples: Upgrade plan, enable premium features with consent.

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

373.32

No confidence interval available

Sample size:

vs human quality delta

10.46

No confidence interval available

Sample size:

autonomous completion rate

1

No confidence interval available

Sample size:

cost per task cents

1.77

No confidence interval available

Sample size:

generation cost per task cents

0.05

No confidence interval available

Sample size:

judging cost per task cents

1.71

No confidence interval available

Sample size:

human review recommended rate

0.77

No confidence interval available

Sample size:

Task assumptions

What this week actually measured

Download tasks.json
designtier1_quick2 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_quick2 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_quick2 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_quick2 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_quick2 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_quick2 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_quick2 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_quick2 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_medium2 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_medium2 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_medium2 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_medium2 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_medium2 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_medium2 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_medium2 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