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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>Promote Candidate B — Birch HTML skill seed comparison</title>
<style>
/* Page-local refinements, Birch tokens only. */
.hero-callout {
display: grid;
gap: var(--space-3);
grid-template-columns: 1fr;
padding: var(--space-4);
border: 1px solid var(--border-color);
border-radius: 14px;
background: var(--surface-warm);
}
@media (min-width: 720px) {
.hero-callout { grid-template-columns: minmax(0, 1.4fr) minmax(0, 1fr); align-items: center; }
}
.decision-pill {
display: inline-flex; align-items: center; gap: var(--space-1);
padding: 2px 10px; border-radius: 999px;
background: color-mix(in oklab, var(--success) 18%, var(--surface));
color: var(--success); font-weight: 600; font-size: 0.78rem; letter-spacing: 0.04em;
text-transform: uppercase;
}
.delta-up { color: var(--success); font-weight: 600; }
.delta-down { color: var(--danger); font-weight: 600; }
.delta-warn { color: var(--accent); font-weight: 600; }
.chart-svg svg { width: 100%; height: auto; }
.formula {
font-family: ui-monospace, SFMono-Regular, Menlo, monospace;
font-size: 0.92rem;
}
.kpi-strong { font-variant-numeric: tabular-nums; }
</style>
<style data-birch-system>
/*
Birch HTML Design System
Opinionated single-option stylesheet for reliable LLM-generated artifacts.
Model:
1. Design tokens as CSS variables.
2. Layout primitives as classes.
3. Semantic components as classes with data-* variants.
*/
/* ==================== 1. TOKENS ==================== */
:root {
color-scheme: light;
/* Palette */
--color-ivory: #FAF9F5;
--color-slate: #141413;
--color-clay: #D97757;
--color-clay-dark: #B85C3E;
--color-oat: #E3DACC;
--color-olive: #788C5D;
--color-rust: #B04A3F;
--color-sky: #6A8CAF;
--color-white: #FFFFFF;
--color-gray-50: #F7F5EE;
--color-gray-100: #F0EEE6;
--color-gray-150: #E8E4DA;
--color-gray-200: #DED9CD;
--color-gray-300: #D1CFC5;
--color-gray-500: #87867F;
--color-gray-700: #3D3D3A;
--color-gray-800: #242421;
/* Semantic colors */
--bg: var(--color-ivory);
--surface: var(--color-white);
--surface-tint: var(--color-gray-100);
--surface-warm: var(--color-oat);
--text: var(--color-slate);
--text-muted: var(--color-gray-500);
--text-soft: var(--color-gray-700);
--muted: var(--text-muted);
--border-color: var(--color-gray-300);
--accent: var(--color-clay);
--accent-strong: var(--color-clay-dark);
--success: var(--color-olive);
--warning: #C78E3F;
--danger: var(--color-rust);
--info: var(--color-sky);
/* Typography */
--font-serif: ui-serif, Georgia, "Times New Roman", serif;
--font-sans: system-ui, -apple-system, "Segoe UI", Roboto, sans-serif;
--font-mono: ui-monospace, "SF Mono", Menlo, Consolas, monospace;
--text-xs: 11px;
--text-sm: 12px;
--text-md: 14px;
--text-base: 15px;
--text-lg: 17px;
--text-xl: 21px;
--text-2xl: 26px;
--text-3xl: 36px;
--text-4xl: 44px;
--leading-tight: 1.15;
--leading-title: 1.25;
--leading-body: 1.55;
--leading-loose: 1.7;
/* Spacing */
--space-1: 4px;
--space-2: 8px;
--space-3: 12px;
--space-4: 16px;
--space-5: 24px;
--space-6: 32px;
--space-7: 48px;
--space-8: 64px;
--space-9: 96px;
/* Shape */
--radius-xs: 4px;
--radius-sm: 8px;
--radius-md: 12px;
--radius-lg: 16px;
--radius-xl: 20px;
--radius-pill: 999px;
--border: 1.5px solid var(--border-color);
--border-thin: 1px solid var(--border-color);
--shadow-sm: 0 1px 2px rgba(20, 20, 19, 0.06);
--shadow-md: 0 4px 14px rgba(20, 20, 19, 0.08);
--shadow-lg: 0 12px 28px rgba(20, 20, 19, 0.12);
/* Motion */
--ease: cubic-bezier(0.2, 0, 0, 1);
--ease-spring: cubic-bezier(0.34, 1.56, 0.64, 1);
--dur-fast: 120ms;
--dur: 180ms;
--hover-y: -2px;
/* Page sizing */
--page-max: 1100px;
--page-pad: 28px;
--page-pad-block: 48px;
/* Legacy aliases used by source examples */
--ivory: var(--color-ivory);
--slate: var(--color-slate);
--clay: var(--color-clay);
--clay-d: var(--color-clay-dark);
--oat: var(--color-oat);
--olive: var(--color-olive);
--rust: var(--color-rust);
--sky: var(--color-sky);
--white: var(--color-white);
--gray-50: var(--color-gray-50);
--gray-100: var(--color-gray-100);
--gray-150: var(--color-gray-150);
--gray-200: var(--color-gray-200);
--gray-300: var(--color-gray-300);
--gray-500: var(--color-gray-500);
--gray-700: var(--color-gray-700);
--gray-800: var(--color-gray-800);
--serif: var(--font-serif);
--sans: var(--font-sans);
--mono: var(--font-mono);
}
/* ==================== BASE ==================== */
*,
*::before,
*::after {
box-sizing: border-box;
}
html {
background: var(--bg);
color: var(--text);
font-family: var(--font-sans);
-webkit-text-size-adjust: 100%;
}
body {
margin: 0;
background: var(--bg);
color: var(--text);
font-family: var(--font-sans);
font-size: var(--text-base);
line-height: var(--leading-body);
-webkit-font-smoothing: antialiased;
text-rendering: optimizeLegibility;
}
img,
svg {
max-width: 100%;
}
a {
color: inherit;
text-decoration-color: rgba(217, 119, 87, 0.45);
text-underline-offset: 3px;
}
a:hover {
color: var(--accent);
}
h1,
h2,
h3,
p {
margin-block: 0;
}
h1,
h2,
h3 {
font-family: var(--font-serif);
font-weight: 500;
letter-spacing: -0.01em;
line-height: var(--leading-title);
}
h1 {
font-size: clamp(32px, 5vw, var(--text-4xl));
}
h2 {
font-size: var(--text-2xl);
}
h3 {
font-size: var(--text-xl);
}
code,
kbd,
pre {
font-family: var(--font-mono);
}
code {
font-size: 0.92em;
white-space: normal;
word-break: normal;
}
h1 code,
h2 code,
h3 code {
overflow-wrap: anywhere;
word-break: break-word;
}
button,
input,
textarea,
select {
font: inherit;
}
button {
cursor: pointer;
}
::selection {
background: rgba(217, 119, 87, 0.24);
}
/* ==================== 2. LAYOUT PRIMITIVES ==================== */
.page {
width: min(100% - (var(--page-pad) * 2), var(--page-max));
margin-inline: auto;
padding-block: var(--page-pad-block) var(--space-9);
}
.page[data-size="narrow"] {
--page-max: 820px;
}
.page[data-size="wide"] {
--page-max: 1280px;
}
.page[data-size="full"] {
--page-max: 1440px;
}
.section {
margin-block: var(--section-gap, var(--space-5));
}
.section[data-gap="lg"] {
--section-gap: var(--space-6);
}
.section[data-gap="xl"] {
--section-gap: var(--space-7);
}
.section:first-child {
margin-block-start: 0;
}
.stack > .section {
margin-block: 0;
}
.rule {
border: 0;
border-top: var(--border-thin);
margin: var(--space-3) 0 var(--space-5);
}
.stack {
display: flex;
flex-direction: column;
gap: var(--stack-gap, var(--space-4));
}
.stack[data-gap="xs"] { --stack-gap: var(--space-2); }
.stack[data-gap="sm"] { --stack-gap: var(--space-3); }
.stack[data-gap="md"] { --stack-gap: var(--space-4); }
.stack[data-gap="lg"] { --stack-gap: var(--space-6); }
.stack[data-gap="xl"] { --stack-gap: var(--space-8); }
.stack > :is(.button, .btn, .chip, .badge) {
align-self: flex-start;
}
.cluster {
display: flex;
flex-wrap: wrap;
align-items: center;
gap: var(--cluster-gap, var(--space-3));
}
.cluster[data-align="start"] { align-items: flex-start; }
.cluster[data-align="end"] { align-items: flex-end; }
.cluster[data-justify="between"] { justify-content: space-between; }
.cluster[data-justify="end"] { justify-content: flex-end; }
.grid {
display: grid;
gap: var(--grid-gap, var(--space-5));
}
.grid[data-cols="2"] {
grid-template-columns: repeat(2, minmax(0, 1fr));
}
.grid[data-cols="3"] {
grid-template-columns: repeat(3, minmax(0, 1fr));
}
.grid[data-cols="4"] {
grid-template-columns: repeat(4, minmax(0, 1fr));
}
.auto-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(min(100%, var(--grid-min, 240px)), 1fr));
gap: var(--grid-gap, var(--space-5));
}
.auto-grid > * {
min-width: 0;
}
.split {
display: grid;
grid-template-columns: minmax(0, 1fr) minmax(280px, var(--split-side, 360px));
gap: var(--split-gap, var(--space-6));
align-items: start;
}
.split > * {
min-width: 0;
}
.section-head {
min-width: 0;
}
.section-rail {
display: grid;
grid-template-columns: minmax(0, 1fr) minmax(280px, var(--rail-width, 360px));
column-gap: var(--rail-gap, var(--space-6));
row-gap: var(--space-5);
align-items: start;
}
.section-rail > .section-head {
grid-column: 1 / -1;
}
.section-rail > .reference-panel,
.section-rail > aside {
align-self: start;
}
.sidebar-layout {
display: grid;
grid-template-columns: var(--sidebar-width, 240px) minmax(0, 1fr);
gap: var(--sidebar-gap, var(--space-7));
align-items: start;
}
.sidebar-layout > :first-child,
.sticky {
position: sticky;
top: var(--sticky-top, var(--space-5));
}
.bleed {
margin-inline: calc(var(--page-pad) * -1);
}
.scroll-x {
overflow-x: auto;
overscroll-behavior-inline: contain;
}
.center {
display: grid;
place-items: center;
}
.spacer {
flex: 1;
}
@media (max-width: 860px) {
:root {
--page-pad: 20px;
--page-pad-block: 40px;
}
.grid[data-cols],
.split,
.section-rail,
.sidebar-layout {
grid-template-columns: 1fr;
}
.sidebar-layout > :first-child,
.sticky {
position: static;
}
}
/* ==================== TYPOGRAPHY UTILITIES ==================== */
.eyebrow {
display: inline-flex;
align-items: center;
gap: var(--space-2);
color: var(--accent);
font-family: var(--font-mono);
font-size: var(--text-xs);
font-weight: 700;
letter-spacing: 0.08em;
text-transform: uppercase;
}
.eyebrow::before {
content: "";
width: 24px;
height: 1.5px;
background: currentColor;
}
.lede {
max-width: 720px;
color: var(--text-soft);
font-size: var(--text-lg);
line-height: 1.6;
}
.muted {
color: var(--text-muted);
}
.caption {
color: var(--text-muted);
font-family: var(--font-mono);
font-size: var(--text-sm);
}
.stat-value {
display: block;
color: var(--text);
font-family: var(--font-serif);
font-size: clamp(30px, 3.2vw, 42px);
font-variant-numeric: tabular-nums;
font-weight: 550;
letter-spacing: -0.025em;
line-height: 1;
}
.stat-card {
gap: var(--space-2);
}
.stat-card .caption {
letter-spacing: 0.08em;
text-transform: uppercase;
}
.stat-card .muted {
max-width: 34ch;
font-size: var(--text-sm);
}
.mono {
font-family: var(--font-mono);
}
/* ==================== 3. SEMANTIC COMPONENTS ==================== */
.panel,
.card {
background: var(--surface);
border: var(--border);
border-radius: var(--radius-md);
}
.panel {
padding: var(--panel-pad, var(--space-5));
}
.card {
padding: var(--card-pad, var(--space-5));
transition:
transform var(--dur-fast) var(--ease),
border-color var(--dur-fast) var(--ease),
box-shadow var(--dur-fast) var(--ease),
background-color var(--dur-fast) var(--ease);
}
.card[data-hover="lift"]:hover,
.card[data-clickable]:hover {
transform: translateY(var(--hover-y));
border-color: rgba(217, 119, 87, 0.55);
box-shadow: var(--shadow-md);
}
.card[data-clickable] {
cursor: pointer;
}
.card[data-variant="flat"] {
background: transparent;
border-color: transparent;
box-shadow: none;
}
.card[data-variant="outlined"] {
background: var(--surface);
border: var(--border);
}
.card[data-variant="elevated"] {
border-color: transparent;
box-shadow: var(--shadow-md);
}
.card[data-variant="filled"],
.card[data-tone="oat"] {
background: var(--surface-warm);
}
.card[data-tone],
.panel[data-tone],
.callout[data-tone] {
background: var(--surface);
}
.card[data-tone="danger"],
.panel[data-tone="danger"],
.callout[data-tone="danger"] {
border-color: rgba(176, 74, 63, 0.36);
}
.card[data-tone="warning"],
.panel[data-tone="warning"],
.callout[data-tone="warning"] {
border-color: rgba(199, 142, 63, 0.38);
}
.card[data-tone="success"],
.panel[data-tone="success"],
.callout[data-tone="success"] {
border-color: rgba(120, 140, 93, 0.38);
}
.card[data-tone="info"],
.panel[data-tone="info"],
.callout[data-tone="info"] {
border-color: rgba(106, 140, 175, 0.36);
}
.card[data-accent] {
position: relative;
overflow: hidden;
}
.card[data-accent]::before {
content: "";
position: absolute;
inset: 0 auto 0 0;
width: 5px;
background: var(--accent);
}
.card-head {
display: flex;
align-items: center;
gap: var(--space-3);
min-width: 0;
max-width: 100%;
}
.card-head > :first-child {
flex: 0 0 auto;
}
.card-titles {
flex: 1 1 0;
min-width: 0;
max-width: 100%;
}
.card-title {
max-width: 100%;
margin: 0;
font-family: var(--font-serif);
font-size: var(--text-xl);
font-weight: 550;
line-height: var(--leading-title);
overflow-wrap: anywhere;
}
.card-sub {
margin: 2px 0 0;
color: var(--text-muted);
font-size: var(--text-sm);
overflow-wrap: anywhere;
}
.toolbar {
display: flex;
flex-wrap: wrap;
align-items: center;
gap: var(--space-4);
padding: var(--space-4) var(--space-5);
background: var(--surface);
border: var(--border);
border-radius: var(--radius-md);
}
.toolbar[data-sticky] {
position: sticky;
top: 0;
z-index: 10;
}
.chip,
.badge {
display: inline-flex;
align-items: center;
justify-content: center;
gap: 6px;
border-radius: var(--radius-pill);
white-space: nowrap;
font-family: var(--font-mono);
font-size: var(--text-xs);
font-weight: 650;
line-height: 1;
}
.chip {
min-height: 24px;
padding: 0 10px;
color: var(--text-soft);
background: var(--surface-tint);
border: 1px solid transparent;
}
.badge {
min-height: 22px;
padding: 0 9px;
color: var(--text-muted);
background: var(--surface);
border: var(--border-thin);
text-transform: uppercase;
letter-spacing: 0.06em;
}
.chip[data-tone="clay"],
.badge[data-tone="clay"] {
color: var(--accent);
background: rgba(217, 119, 87, 0.14);
}
.chip[data-tone="olive"],
.badge[data-tone="olive"],
.chip[data-tone="success"],
.badge[data-tone="success"] {
color: var(--success);
background: rgba(120, 140, 93, 0.15);
}
.chip[data-tone="warning"],
.badge[data-tone="warning"] {
color: var(--warning);
background: rgba(199, 142, 63, 0.16);
}
.chip[data-tone="rust"],
.badge[data-tone="rust"],
.chip[data-tone="danger"],
.badge[data-tone="danger"] {
color: var(--danger);
background: rgba(176, 74, 63, 0.13);
}
.chip[data-tone="sky"],
.badge[data-tone="sky"],
.chip[data-tone="info"],
.badge[data-tone="info"] {
color: var(--info);
background: rgba(106, 140, 175, 0.14);
}
.finding {
border-left: 6px solid var(--border-color);
}
.finding[data-severity="blocker"],
.finding[data-severity="critical"],
.finding[data-severity="danger"],
.finding[data-tone="danger"] {
border-left-color: var(--danger);
}
.finding[data-severity="high"],
.finding[data-severity="warning"],
.finding[data-tone="warning"] {
border-left-color: var(--warning);
}
.finding[data-severity="medium"],
.finding[data-severity="info"],
.finding[data-tone="info"] {
border-left-color: var(--info);
}
.finding[data-severity="low"],
.finding[data-severity="success"],
.finding[data-tone="success"] {
border-left-color: var(--success);
}
.button,
.btn {
appearance: none;
display: inline-flex;
align-items: center;
justify-content: center;
min-height: 36px;
padding: 0 14px;
border: 1.5px solid transparent;
border-radius: var(--radius-sm);
font-family: var(--font-sans);
font-size: var(--text-md);
font-weight: 650;
line-height: 1;
text-decoration: none;
transition:
transform var(--dur-fast) var(--ease),
background-color var(--dur-fast) var(--ease),
border-color var(--dur-fast) var(--ease),
box-shadow var(--dur-fast) var(--ease);
}
.button:hover,
.btn:hover {
transform: translateY(-1px);
}
.button[data-variant="primary"],
.btn-primary {
color: var(--color-white);
background: var(--color-slate);
}
.button[data-variant="primary"]:hover,
.btn-primary:hover {
background: var(--color-gray-700);
}
.button[data-variant="secondary"],
.btn-secondary {
color: var(--text);
background: var(--surface-tint);
border-color: var(--border-color);
}
.button[data-variant="ghost"],
.btn-ghost {
color: var(--text-soft);
background: transparent;
}
.button[data-variant="ghost"]:hover,
.btn-ghost:hover {
color: var(--text);
background: var(--surface-tint);
}
.button[data-variant="danger"],
.btn-danger {
color: var(--color-white);
background: var(--danger);
}
.input {
width: 100%;
min-height: 38px;
padding: 0 12px;
color: var(--text);
background: var(--surface);
border: var(--border);
border-radius: var(--radius-sm);
outline: none;
}
.input:focus {
border-color: var(--accent);
box-shadow: 0 0 0 3px rgba(217, 119, 87, 0.16);
}
.avatar {
display: inline-flex;
align-items: center;
justify-content: center;
width: var(--avatar-size, 38px);
height: var(--avatar-size, 38px);
border-radius: 50%;
color: var(--text-soft);
background: var(--surface-warm);
font-family: var(--font-mono);
font-size: var(--text-sm);
font-weight: 700;
letter-spacing: 0.02em;
flex: 0 0 auto;
}
.code-block {
margin: 0;
padding: var(--space-4) var(--space-5);
overflow-x: auto;
color: #E8E6DC;
background: var(--color-slate);
border-radius: var(--radius-md);
font-family: var(--font-mono);
font-size: var(--text-sm);
line-height: var(--leading-loose);
}
.code-block[data-kind="command"],
.code-block[data-wrap="true"],
.command-block {
max-width: 100%;
min-width: 0;
box-sizing: border-box;
white-space: pre-wrap;
overflow-wrap: anywhere;
word-break: break-word;
overflow-x: hidden;
}
.code-block[data-wrap="true"] code,
.code-block[data-kind="command"] code {
display: block;
max-width: 100%;
white-space: pre-wrap;
overflow-wrap: anywhere;
word-break: break-word;
}
.copyable {
position: relative;
}
.copyable > .code-block {
padding-inline-end: 88px;
}
.copy-button {
appearance: none;
position: absolute;
inset-block-start: var(--space-2);
inset-inline-end: var(--space-2);
display: inline-flex;
align-items: center;
justify-content: center;
min-height: 26px;
padding: 0 9px;
border: 1px solid rgba(250, 249, 245, 0.18);
border-radius: var(--radius-sm);
color: var(--color-gray-100);
background: rgba(255, 255, 255, 0.08);
font-family: var(--font-mono);
font-size: var(--text-xs);
font-weight: 700;
letter-spacing: 0.04em;
text-transform: uppercase;
transition:
background-color var(--dur-fast) var(--ease),
border-color var(--dur-fast) var(--ease),
transform var(--dur-fast) var(--ease);
}
.copy-button:hover {
transform: translateY(-1px);
border-color: rgba(250, 249, 245, 0.35);
background: rgba(255, 255, 255, 0.14);
}
.copy-button[data-copied="true"] {
color: var(--color-white);
background: rgba(120, 140, 93, 0.55);
border-color: rgba(120, 140, 93, 0.75);
}
.reference-panel {
--panel-pad: var(--space-5);
}
.callout {
padding: var(--space-5);
color: var(--text-soft);
background: var(--surface-tint);
border: var(--border);
border-inline-start: 4px solid var(--accent);
border-radius: var(--radius-md);
}
.callout[data-tone="success"] {
border-inline-start-color: var(--success);
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border-inline-start-color: var(--danger);
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border-inline-start-color: var(--info);
background: rgba(106, 140, 175, 0.11);
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.callout-label {
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color: var(--text-muted);
font-family: var(--font-mono);
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font-weight: 700;
letter-spacing: 0.09em;
text-transform: uppercase;
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.callout > :last-child {
margin-bottom: 0;
}
.checklist {
list-style: none;
margin: 0;
padding: 0;
display: grid;
gap: var(--space-3);
}
.checklist li {
display: block !important;
position: relative !important;
min-width: 0;
padding-inline-start: calc(18px + var(--space-3));
overflow-wrap: anywhere;
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content: "✓";
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border-radius: 50%;
color: var(--success);
background: rgba(120, 140, 93, 0.12);
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.checklist code {
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.plain-list {
margin: 0;
padding-inline-start: 1.15em;
color: var(--text-soft);
}
.plain-list li {
overflow-wrap: anywhere;
}
.plain-list li + li {
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.plain-list li::marker {
color: var(--text-muted);
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.insight-list,
.takeaway-list {
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margin: 0;
padding: 0;
display: grid;
gap: var(--space-3);
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.insight-list li,
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.meter {
height: 9px;
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background: var(--surface-tint);
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.meter span {
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.flow-list {
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width: 34px;
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background: var(--surface-warm);
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svg.chart-svg {
display: block;
width: 100%;
height: auto;
}
.chart-caption {
color: var(--text-muted);
font-size: var(--text-sm);
}
.numeric-table-wrap {
overflow-x: auto;
background: var(--surface);
border: var(--border);
border-radius: var(--radius-md);
}
.numeric-table {
width: 100%;
min-width: 720px;
border-collapse: collapse;
}
.numeric-table th,
.numeric-table td {
padding: var(--space-3) var(--space-4);
border-bottom: 1px solid var(--color-gray-200);
vertical-align: middle;
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color: var(--text-muted);
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font-family: var(--font-mono);
font-size: var(--text-xs);
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color: var(--text-soft);
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.numeric-table code {
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display: block;
margin-top: 2px;
color: var(--text-muted);
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font-size: var(--text-xs);
font-weight: 400;
}
@media (max-width: 620px) {
.numeric-table {
min-width: 0;
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.numeric-table thead {
display: none;
}
.numeric-table tbody,
.numeric-table tr,
.numeric-table td {
display: block;
}
.numeric-table tr {
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border-bottom: 1px solid var(--color-gray-200);
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padding: var(--space-1) 0;
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overflow-x: auto;
color: #E8E6DC;
background: var(--color-slate);
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font-family: var(--font-mono);
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background: rgba(255, 255, 255, 0.045);
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min-width: 0;
white-space: normal;
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.diff[data-wrap="true"] .code {
white-space: pre-wrap;
overflow-wrap: anywhere;
}
/* ---------- Timeline ---------- */
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position: relative;
display: grid;
gap: 0;
padding-inline-start: var(--space-6);
}
.timeline:is(ol, ul) {
margin: 0;
list-style: none;
}
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content: "";
position: absolute;
inset-block: 4px 4px;
inset-inline-start: 9px;
width: 1.5px;
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position: relative;
display: grid;
grid-template-columns: minmax(84px, max-content) minmax(0, 1fr);
gap: var(--space-4);
padding-block: 0 var(--space-5);
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padding-block-end: 0;
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content: "";
position: absolute;
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inset-inline-start: calc(4.25px - var(--space-6));
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border: 2px solid var(--surface);
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background: var(--accent);
box-shadow: 0 0 0 1.5px var(--accent);
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.timeline-item:not(:has(> .timeline-time, > .tl-time)),
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display: block;
}
.timeline-time,
.tl-time {
color: var(--text-muted);
font-family: var(--font-mono);
font-size: var(--text-sm);
white-space: nowrap;
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min-width: 0;
color: var(--text-soft);
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.timeline-body strong,
.tl-body strong {
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@media (max-width: 620px) {
.timeline-item,
.tl-entry {
grid-template-columns: 1fr;
gap: var(--space-1);
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}
/* ---------- Flowchart ---------- */
.flowchart {
display: block;
width: 100%;
height: auto;
}
svg.flow,
svg.flowchart {
display: block;
width: 100%;
height: auto;
}
.flow text,
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fill: var(--text);
font-family: var(--font-sans);
font-size: 12px;
}
.flow .sub,
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fill: var(--text-muted);
font-size: 10px;
}
.flow-edge,
.edge {
fill: none;
stroke: var(--text-muted);
stroke-width: 1.5;
}
.flow-edge[data-kind="yes"],
.edge.yes {
stroke: var(--success);
}
.flow-edge[data-kind="no"],
.edge.no {
stroke: var(--danger);
stroke-dasharray: 4 4;
}
/* SVG flow nodes */
.flow-node,
.flow .node {
cursor: pointer;
transition: transform var(--dur-fast) var(--ease);
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.flow-node:hover,
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transform: translateY(-1px);
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.flow-node rect,
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fill: var(--surface);
stroke: var(--border-color);
stroke-width: 1.5;
rx: 8;
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.flow-node path,
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fill: var(--surface);
stroke: var(--border-color);
stroke-width: 1.5;
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.flow-node[data-shape="term"] rect,
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rx: 22;
}
.flow-node[data-kind="ok"] rect,
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stroke: var(--success);
}
.flow-node[data-kind="bad"] rect,
.flow .node.bad rect {
fill: rgba(176, 74, 63, 0.10);
stroke: var(--danger);
}
.flow-node.active rect,
.flow-node.active path,
.flow .node.active rect,
.flow .node.active path {
stroke: var(--accent);
stroke-width: 2;
}
/* HTML flow nodes, for non-SVG diagrams */
div.flow-node {
padding: var(--space-3) var(--space-4);
background: var(--surface);
border: var(--border);
border-radius: var(--radius-sm);
transition:
transform var(--dur-fast) var(--ease),
border-color var(--dur-fast) var(--ease),
box-shadow var(--dur-fast) var(--ease);
}
div.flow-node:hover {
transform: translateY(var(--hover-y));
border-color: rgba(217, 119, 87, 0.55);
box-shadow: var(--shadow-sm);
}
div.flow-node[data-shape="term"] {
border-radius: var(--radius-pill);
background: var(--surface-tint);
}
div.flow-node[data-kind="ok"] {
border-color: var(--success);
background: rgba(120, 140, 93, 0.12);
}
div.flow-node[data-kind="bad"] {
border-color: var(--danger);
background: rgba(176, 74, 63, 0.10);
}
@media (prefers-reduced-motion: reduce) {
*,
*::before,
*::after {
scroll-behavior: auto !important;
transition-duration: 0.01ms !important;
animation-duration: 0.01ms !important;
animation-iteration-count: 1 !important;
}
}
/* Responsive safety net for generated artifacts. */
p,
li {
overflow-wrap: anywhere;
}
@media (max-width: 860px) {
.split,
.section-rail,
.sidebar-layout {
grid-template-columns: minmax(0, 1fr) !important;
}
.split > *,
.section-rail > *,
.sidebar-layout > *,
.chart-panel {
width: 100%;
max-width: 100%;
min-width: 0;
}
}
</style>
</head>
<body>
<main class="page stack" data-gap="lg">
<!-- HERO: decision first -->
<header class="stack" data-gap="sm">
<div class="eyebrow">Benchmark comparison · GEPA seed gating</div>
<h1>Promote Candidate B as the next GEPA seed</h1>
<p class="lede">
Candidate B lifts the final score from <strong>0.9175 → 0.9655</strong>
(+0.048) and cuts checker warnings from <strong>5 → 2</strong> on the
same four-eval suite, at the cost of <strong>+11.5% USD</strong> and
<strong>+18.7% wall time</strong>. The cost is material but acceptable
for seeding GEPA.
</p>
<div class="hero-callout">
<div class="stack" data-gap="sm">
<span class="decision-pill">Recommendation · Promote</span>
<p><strong>Use Candidate B as the seed for the next single-model GEPA run.</strong>
Then rerun on Kimi and Gemini before broad model-suite validation.
Manually inspect the <em>code-review</em> artifact for long diff
wrapping before committing.</p>
<div class="cluster" data-gap="sm">
<span class="chip">model · codexresponses.gpt-5.5</span>
<span class="chip">skill · birch-html candidate-b</span>
<span class="chip">eval set · 4 artifacts</span>
<span class="chip">2026-05-20 18:40 UTC</span>
</div>
</div>
<aside class="reference-panel stack" data-gap="sm">
<div class="eyebrow">Headline deltas vs Seed A</div>
<ul class="insight-list">
<li><span><strong>Final score +0.048.</strong> 0.9175 → 0.9655.</span></li>
<li><span><strong>Checker warnings −3.</strong> 5 → 2, zero failures either side.</span></li>
<li><span><strong>Cost +$0.22.</strong> $1.92 → $2.14 per full eval suite.</span></li>
<li><span><strong>Wall time +77 s.</strong> 412 s → 489 s suite-wide.</span></li>
</ul>
</aside>
</div>
</header>
<!-- KPI strip: evidence in the first viewport -->
<section class="section stack" data-gap="md">
<div class="section-head">
<div class="eyebrow">Run KPIs · Candidate B</div>
<h2>What the run produced</h2>
</div>
<div class="auto-grid" style="--grid-min: 160px;">
<div class="stat-card">
<div class="caption">Pass rate</div>
<div class="stat-value kpi-strong">4 / 4</div>
<div class="sub">generated_ok · 0 failures</div>
</div>
<div class="stat-card">
<div class="caption">Final score</div>
<div class="stat-value kpi-strong">0.966</div>
<div class="sub"><span class="delta-up">+0.048</span> vs Seed A</div>
</div>
<div class="stat-card">
<div class="caption">Checker warnings</div>
<div class="stat-value kpi-strong">2</div>
<div class="sub"><span class="delta-up">−3</span> · 0 failures</div>
</div>
<div class="stat-card">
<div class="caption">Hygiene score</div>
<div class="stat-value kpi-strong">0.99</div>
<div class="sub"><span class="delta-down">−0.01</span> noise floor</div>
</div>
<div class="stat-card">
<div class="caption">Wall time</div>
<div class="stat-value kpi-strong">489 s</div>
<div class="sub"><span class="delta-warn">+18.7%</span> vs 412 s</div>
</div>
<div class="stat-card">
<div class="caption">Total tokens</div>
<div class="stat-value kpi-strong">124.7k</div>
<div class="sub"><span class="delta-warn">+7.5%</span> vs 116.0k</div>
</div>
<div class="stat-card">
<div class="caption">Estimated cost</div>
<div class="stat-value kpi-strong">$2.14</div>
<div class="sub"><span class="delta-warn">+11.5%</span> vs $1.92</div>
</div>
<div class="stat-card">
<div class="caption">Checker score</div>
<div class="stat-value kpi-strong">0.94</div>
<div class="sub"><span class="delta-up">+0.09</span> vs 0.85</div>
</div>
</div>
</section>
<!-- PRIMARY TRADEOFF VISUAL -->
<section class="section stack" data-gap="md">
<div class="section-head">
<div class="eyebrow">Primary tradeoff</div>
<h2>Quality and warnings against cost, latency, and tokens</h2>
</div>
<div class="panel chart-panel stack" data-gap="sm">
<div class="chart-svg">
<svg role="img" aria-label="Final score and warnings vs cost, wall time, and tokens" preserveAspectRatio="xMidYMid meet" style="width:100%;height:auto;display:block;" xmlns:xlink="http://www.w3.org/1999/xlink" width="676.55952pt" height="258.95952pt" viewBox="0 0 676.55952 258.95952" xmlns="http://www.w3.org/2000/svg" version="1.1">
<defs>
<style type="text/css">*{stroke-linejoin: round; stroke-linecap: butt}</style>
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<g id="figure_1">
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<g id="axes_1">
<g id="patch_2">
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</g>
</g>
</g>
<g id="matplotlib.axis_2">
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<p class="chart-caption">
Left: final score rises from 0.917 to 0.966 while checker warnings
drop from 5 to 2. Right: Candidate B costs 11.5% more, takes 18.7%
longer, and consumes 7.5% more tokens (indexed to Seed A = 100).
Source: <code>eval-runs/reports/skill-seed-gpt55/summary.json</code> ·
<code>eval-runs/reports/skill-candidate-b-gpt55/summary.json</code>.
</p>
</div>
<!-- Exact values, close to the chart -->
<div class="numeric-table-wrap">
<table class="numeric-table">
<caption class="caption">Aggregate run comparison · exact values</caption>
<thead>
<tr>
<th scope="col">Metric</th>
<th scope="col" class="metric">Seed A</th>
<th scope="col" class="metric">Candidate B</th>
<th scope="col" class="metric">Δ</th>
<th scope="col">Direction</th>
</tr>
</thead>
<tbody>
<tr><th scope="row">Generated OK / total</th>
<td class="metric">4 / 4</td><td class="metric">4 / 4</td>
<td class="metric">0</td><td>flat</td></tr>
<tr><th scope="row">Generation score</th>
<td class="metric">1.000</td><td class="metric">1.000</td>
<td class="metric">0.000</td><td>flat</td></tr>
<tr><th scope="row">Checker failures</th>
<td class="metric">0</td><td class="metric">0</td>
<td class="metric">0</td><td>flat</td></tr>
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<td class="metric">5</td><td class="metric">2</td>
<td class="metric">−3</td><td><span class="delta-up">better</span></td></tr>
<tr><th scope="row">Checker score</th>
<td class="metric">0.850</td><td class="metric">0.940</td>
<td class="metric">+0.090</td><td><span class="delta-up">better</span></td></tr>
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<td class="metric">1.000</td><td class="metric">0.990</td>
<td class="metric">−0.010</td><td><span class="delta-down">worse (noise)</span></td></tr>
<tr><th scope="row">Final score</th>
<td class="metric">0.9175</td><td class="metric">0.9655</td>
<td class="metric">+0.0480</td><td><span class="delta-up">better</span></td></tr>
<tr><th scope="row">Wall time (s)</th>
<td class="metric">412</td><td class="metric">489</td>
<td class="metric">+77 (+18.7%)</td><td><span class="delta-warn">worse</span></td></tr>
<tr><th scope="row">Input tokens</th>
<td class="metric">84,200</td><td class="metric">90,100</td>
<td class="metric">+5,900 (+7.0%)</td><td><span class="delta-warn">worse</span></td></tr>
<tr><th scope="row">Output tokens</th>
<td class="metric">31,800</td><td class="metric">34,600</td>
<td class="metric">+2,800 (+8.8%)</td><td><span class="delta-warn">worse</span></td></tr>
<tr><th scope="row">Total tokens</th>
<td class="metric">116,000</td><td class="metric">124,700</td>
<td class="metric">+8,700 (+7.5%)</td><td><span class="delta-warn">worse</span></td></tr>
<tr><th scope="row">Estimated cost (USD)</th>
<td class="metric">$1.92</td><td class="metric">$2.14</td>
<td class="metric">+$0.22 (+11.5%)</td><td><span class="delta-warn">worse</span></td></tr>
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</div>
</section>
<!-- PER-EVAL DETAIL -->
<section class="section stack" data-gap="md">
<div class="section-head">
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<h2>Where the gains came from</h2>
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<p class="chart-caption">
Same eval ordering across all three panels. Score rises on every eval;
warnings tie or drop; wall time grows roughly uniformly (≈+19% per
eval).
</p>
</div>
<div class="numeric-table-wrap">
<table class="numeric-table">
<caption class="caption">Per-eval scores, warnings, and wall time</caption>
<thead>
<tr>
<th scope="col">Eval</th>
<th scope="col" class="metric">Seed score</th>
<th scope="col" class="metric">Cand. score</th>
<th scope="col" class="metric">Δ score</th>
<th scope="col" class="metric">Seed warn</th>
<th scope="col" class="metric">Cand. warn</th>
<th scope="col" class="metric">Seed s</th>
<th scope="col" class="metric">Cand. s</th>
</tr>
</thead>
<tbody>
<tr><th scope="row">numeric-data</th>
<td class="metric">0.930</td><td class="metric">0.970</td>
<td class="metric"><span class="delta-up">+0.040</span></td>
<td class="metric">2</td><td class="metric">1</td>
<td class="metric">94</td><td class="metric">113</td></tr>
<tr><th scope="row">code-review</th>
<td class="metric">0.910</td><td class="metric">0.955</td>
<td class="metric"><span class="delta-up">+0.045</span></td>
<td class="metric">1</td><td class="metric">0</td>
<td class="metric">102</td><td class="metric">121</td></tr>
<tr><th scope="row">module-explainer</th>
<td class="metric">0.925</td><td class="metric">0.944</td>
<td class="metric"><span class="delta-up">+0.019</span></td>
<td class="metric">1</td><td class="metric">1</td>
<td class="metric">111</td><td class="metric">132</td></tr>
<tr><th scope="row">implementation-plan</th>
<td class="metric">0.905</td><td class="metric">0.993</td>
<td class="metric"><span class="delta-up">+0.088</span></td>
<td class="metric">1</td><td class="metric">0</td>
<td class="metric">105</td><td class="metric">123</td></tr>
</tbody>
</table>
</div>
<div class="grid" style="--grid-min: 240px;">
<div class="card stack" data-gap="xs">
<div class="card-head">
<div class="card-titles">
<span class="eyebrow">numeric-data</span>
<span class="card-title">+0.040</span>
</div>
<span class="badge">warn 2→1</span>
</div>
<p>Candidate chart is clearer but uses more SVG text — watch label
density on narrow viewports.</p>
</div>
<div class="card stack" data-gap="xs">
<div class="card-head">
<div class="card-titles">
<span class="eyebrow">code-review</span>
<span class="card-title">+0.045</span>
</div>
<span class="badge">warn 1→0</span>
</div>
<p>No mechanical regression. Inspect finding-severity wording and
long diff wrapping before committing the seed.</p>
</div>
<div class="card stack" data-gap="xs">
<div class="card-head">
<div class="card-titles">
<span class="eyebrow">module-explainer</span>
<span class="card-title">+0.019</span>
</div>
<span class="badge">warn 1→1</span>
</div>
<p>Runtime-path narrative improved; mobile flow caption stays dense
— the remaining warning sits here.</p>
</div>
<div class="card stack" data-gap="xs">
<div class="card-head">
<div class="card-titles">
<span class="eyebrow">implementation-plan</span>
<span class="card-title">+0.088</span>
</div>
<span class="badge">warn 1→0</span>
</div>
<p>Plan quality is the biggest single-eval lift; no checker
regression observed.</p>
</div>
</div>
</section>
<!-- FINDINGS / REGRESSIONS -->
<section class="section stack" data-gap="md">
<div class="section-head">
<div class="eyebrow">Findings</div>
<h2>Improvements, regressions, and what to verify by hand</h2>
</div>
<div class="grid" style="--grid-min: 260px;">
<div class="panel stack" data-gap="sm">
<div class="eyebrow">Improvements</div>
<ul class="checklist">
<li>All 4 artifacts still generate cleanly (4 / 4 generated_ok).</li>
<li>Checker score lifts 0.85 → 0.94 (+0.09) on the same rubric.</li>
<li>Warnings fall on 3 of 4 evals; tie on <em>module-explainer</em>.</li>
<li><em>implementation-plan</em> contributes the largest per-eval
score lift (+0.088).</li>
</ul>
</div>
<div class="panel stack" data-gap="sm">
<div class="eyebrow">Regressions / cost</div>
<ul class="plain-list">
<li>Wall time +77 s (+18.7%) — uniform per eval, not a single outlier.</li>
<li>Total tokens +8.7k (+7.5%); cost +$0.22 (+11.5%).</li>
<li>Hygiene score slips 1.00 → 0.99 — within noise floor but worth
re-checking unsupported-class penalties.</li>
<li><em>numeric-data</em> uses more SVG text — verify mobile chart
readability.</li>
</ul>
</div>
<div class="panel stack" data-gap="sm">
<div class="eyebrow">Manual gate before promotion</div>
<ul class="plain-list">
<li>Inspect <em>code-review</em> long diff wrapping
(<code>data-wrap="true"</code> on <code>.diff</code>).</li>
<li>Eyeball <em>module-explainer</em> mobile flow caption density.</li>
<li>Spot-check that hygiene drop is not a new unsupported class.</li>
</ul>
</div>
</div>
</section>
<!-- SCORING + PROVENANCE -->
<section class="section stack" data-gap="md">
<div class="section-head">
<div class="eyebrow">Scoring &amp; provenance</div>
<h2>How the final score is computed</h2>
</div>
<div class="grid" style="--grid-min: 280px;">
<div class="panel stack" data-gap="sm">
<div class="eyebrow">Formula</div>
<pre class="code-block formula" data-wrap="true"><code>final_score = 0.30 * generation_score
+ 0.55 * checker_score
+ 0.15 * hygiene_score
generation_score = generated_ok / total_evals
checker_score = max(0, 1 − 0.20 * checker_failures
− 0.03 * checker_warnings)
hygiene_score = avg(artifact compliance after
unsupported-class, external-asset,
and missing-CSS penalties)</code></pre>
<p class="caption">
Worked example for Candidate B: 0.30·1.00 + 0.55·0.94 + 0.15·0.99
= 0.300 + 0.517 + 0.1485 = <strong>0.9655</strong>.
</p>
</div>
<div class="panel stack" data-gap="sm">
<div class="eyebrow">Run provenance</div>
<dl class="stack" data-gap="xs">
<div class="cluster" data-gap="sm"><dt class="caption">Model</dt><dd><code>codexresponses.gpt-5.5</code></dd></div>
<div class="cluster" data-gap="sm"><dt class="caption">Skill versions</dt><dd><code>birch-html seed</code> · <code>birch-html candidate-b</code></dd></div>
<div class="cluster" data-gap="sm"><dt class="caption">Eval set</dt><dd>numeric-data, code-review, module-explainer, implementation-plan</dd></div>
<div class="cluster" data-gap="sm"><dt class="caption">Timestamp</dt><dd>2026-05-20T18:40:00Z</dd></div>
</dl>
<div class="eyebrow">Reports</div>
<pre class="code-block" data-wrap="true"><code>eval-runs/reports/skill-seed-gpt55/summary.json
eval-runs/reports/skill-candidate-b-gpt55/summary.json</code></pre>
<div class="eyebrow">Reproduce</div>
<pre class="code-block copyable" data-wrap="true"><code>python3 scripts/run_skill_evals.py \
--skill-dir birch-html \
--model codexresponses.gpt-5.5 \
--label skill-candidate-b-gpt55</code></pre>
</div>
</div>
</section>
<!-- CAVEATS -->
<section class="section stack" data-gap="md">
<div class="section-head">
<div class="eyebrow">Caveats</div>
<h2>What this comparison does <em>not</em> tell you</h2>
</div>
<div class="callout stack" data-gap="sm">
<span class="callout-label">Comparability and measurement limits</span>
<ul class="plain-list">
<li><strong>Token counts are not apples-to-apples.</strong> Provider
token schemas differ; cached, reasoning, and effective-token fields
are not reconciled across runs.</li>
<li><strong>Checker warnings are mechanical contract signals,</strong>
not a full content-quality verdict — a clean checker run can still
ship dense or unclear prose.</li>
<li><strong>Same-vs-same screenshot pairs</strong> mostly validate
geometry and rendering contracts; they do not score aesthetics.</li>
<li><strong>Wall time mixes model latency with harness overhead;</strong>
sub-20 s differences should be treated as noisy.</li>
<li><strong>n = 1 per eval per candidate.</strong> No re-runs or
seed sweep yet — promotion is a working hypothesis, not a stat.</li>
</ul>
</div>
</section>
<!-- NEXT EXPERIMENT -->
<section class="section stack" data-gap="md">
<div class="section-head">
<div class="eyebrow">Next experiment</div>
<h2>What to run after promotion</h2>
</div>
<ol class="flow-list">
<li class="flow-step">
<span class="flow-num">1</span>
<div class="stack" data-gap="xs">
<span class="flow-title">Promote Candidate B as the GEPA seed</span>
<span class="flow-detail">Single-model GEPA round on
<code>codexresponses.gpt-5.5</code>, holding the eval set fixed
at the four current artifacts.</span>
</div>
</li>
<li class="flow-step">
<span class="flow-num">2</span>
<div class="stack" data-gap="xs">
<span class="flow-title">Manual inspection gate</span>
<span class="flow-detail">Before committing, open the
<em>code-review</em> artifact and verify long diff wrapping with
<code>data-wrap="true"</code>; eyeball the
<em>module-explainer</em> mobile flow caption.</span>
</div>
</li>
<li class="flow-step">
<span class="flow-num">3</span>
<div class="stack" data-gap="xs">
<span class="flow-title">Cross-model rerun</span>
<span class="flow-detail">Replay the GEPA-best candidate on Kimi
and Gemini to check that the warning reduction is not
model-specific.</span>
</div>
</li>
<li class="flow-step">
<span class="flow-num">4</span>
<div class="stack" data-gap="xs">
<span class="flow-title">Broad model-suite validation</span>
<span class="flow-detail">Only after the cross-model spot-check
passes: run the full model suite and re-evaluate cost / latency
budgets against the +11.5% / +18.7% headroom seen here.</span>
</div>
</li>
<li class="flow-step">
<span class="flow-num">5</span>
<div class="stack" data-gap="xs">
<span class="flow-title">Tighten the checker</span>
<span class="flow-detail">With warnings at 2, the next marginal
gain probably lives in turning current warnings into failures
for clearly-broken contracts (e.g. unwrapped wide diffs) so the
score signal stays informative.</span>
</div>
</li>
</ol>
</section>
<footer class="stack" data-gap="xs">
<p class="caption">
Source: <code>evals/benchmark-comparison/source.json</code> ·
Charts generated with <code>scripts/birch_mpl.py</code> + Matplotlib ·
Decision: <strong>promote Candidate B</strong>.
</p>
</footer>
</main>
</body>
</html>

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