Build an AI Ops Dashboard with FSCSS modules (ai-ui, st-core, circle-progress, overlapui)

Question

Build an AI Ops Dashboard with FSCSS modules (ai-ui, st-core, circle-progress, overlapui)

calendar_today6 hours ago • schedule8 min read

— Originally published at dev.to

A step by step tutorial for building a responsive AI dashboard with compiled FSCSS, pure CSS charts, progress rings, stacked avatars, and plain JavaScript. No framework, no build tool beyond the FSCSS CLI.

If you have ever built an AI product UI, you know the pattern. A sidebar, a chat column, a metrics panel, a streaming caret, some usage cards. It is a lot of CSS before you write a single line of product logic.

In this tutorial we build an AI Ops Console using four FSCSS modules, compile everything to one plain CSS file, and wire it up with a small vanilla JavaScript layer. No frameworks. No runtime preprocessor in the browser.

CodePen preview

What we are building

An AI Ops Console with a desktop layout (sidebar, chat, metrics panel) and a mobile layout (hamburger sidebar drawer, bottom sheet metrics panel at 960px and below).

Surface	Module
App shell, sidebar, messages, prompt, stream caret, thinking dots, usage cards, workflow nodes, tool chips, citations	ai-ui.fscss
Token burn area and line chart (clip-path, no SVG or canvas)	st-core@v2
GPU, Queue and Quota rings	circle-progress
Team avatar stack	overlapui
Mock agent replies, live chart nudges, mobile drawers	dashboard.js

The project is split into four files:

ai-dashboard/
├── dashboard.html      # markup only
├── dashboard.fscss     # all FSCSS + layout
├── dashboard.css       # compiled output (generated)
└── dashboard.js        # chat, drawers, chart updates

You compile once and ship plain CSS.

Prerequisites

Node.js 18 or newer (for the FSCSS CLI)
A modern browser
Optional: VS Code with the FSCSS Support extension

Install the compiler globally:

npm install -g fscss@1.2.6

You need FSCSS 1.2.6 or newer. ai-ui requires it, and st-core needs 1.2.3 or newer.

1. Project setup

mkdir ai-dashboard && cd ai-dashboard
touch dashboard.html dashboard.fscss dashboard.js

dashboard.css will be generated by the CLI in step 3.

2. dashboard.fscss: the styles source

This file imports the four modules, calls their helpers against your own class names, defines the chart series, and holds all layout and responsive rules.

/* dashboard.fscss
   AI Ops Dashboard: FSCSS source
   Compile:  fscss dashboard.fscss dashboard.css
*/

/* Modules (registry names; CLI + runtime resolve these) */
@import((*) from ai-ui)
@import((*) from st-core@v2)
@import((*) from circle-progress)
@import((*) from overlapui)

/* Theme + design tokens */
@ai-compose-dashboard()   /* ai-ui tokens + dashboard theme */
@st-root()                /* st-core chart tokens */
@progress-root()          /* circle-progress tokens */
@ou-root()                /* overlapui tokens */

/* ai-ui structure helpers */
@ai-shell(.ai-shell)
@ai-sidebar(.ai-sidebar)
@ai-main(.ai-main)
@ai-messages(.ai-messages)
@ai-message(.ai-message)
@ai-message-user(.ai-message-user)
@ai-message-assistant(.ai-message-assistant)
@ai-bubble(.ai-bubble)
@ai-avatar(.ai-avatar)
@ai-prompt(.ai-prompt)
@ai-prompt-box(.ai-prompt-box)
@ai-prompt-send(.ai-prompt-send)
@ai-stream(.ai-stream)
@ai-thinking(.ai-thinking)
@ai-usage(.ai-usage)
@ai-stat(.ai-stat)
@ai-workflow(.ai-workflow)
@ai-node(.ai-node)
@ai-edge(.ai-edge)
@ai-tools(.ai-tools)
@ai-tool-chip(.ai-tool-chip)
@ai-card(.ai-card)
@ai-divider(.ai-divider)
@ai-citations(.ai-citations)
@ai-citation(.ai-citation)

/* st-core linear chart */
@arr tokenSeries[32, 48, 55, 42, 68, 75, 61, 88, 72, 91, 84, 96]

@st-chart-fill(.chart-fill, tokenSeries)
@st-chart-line(.chart-line, tokenSeries)

.token-chart {
  @st-chart-points(tokenSeries)
  position: relative;
  height: 160px;
  width: 100%;
  background: var(--st-surface, #161422);
  border-radius: 12px;
  overflow: hidden;
}

/* circle-progress */
@circle-progress(.cp)
.cp-72 { @progress-range(72) }
.cp-48 { @progress-range(48) }
.cp-91 { @progress-range(91) }

.cp {
  --progress-size: 110px;
  --progress-stroke: 10px;
  --progress-color-bg: transparent;
  --progress-color-track: rgba(255, 255, 255, 0.08);
  --progress-color-arc: var(--ai-accent, #e879f9);
  --progress-color-glow: color-mix(in srgb, var(--ai-accent, #e879f9) 40%, transparent);
  --progress-color-value: var(--ai-text, #f5f3ff);
  --progress-color-label: var(--ai-text-muted, #a78bfa);
  font-size: 0.95rem;
  font-weight: 600;
}

/* overlapui avatars */
@avatar-overlap(.team-faces)
.team-faces {
  --ou-avatar-size: 36px;
  --ou-overlap: -12px;
  margin-block: 8px;
}

/* Base layout */
* { box-sizing: border-box; margin: 0; padding: 0; }

html, body {
  height: 100%;
  font-family: var(--ai-font, system-ui, -apple-system, sans-serif);
  background: var(--ai-bg, #0c0a12);
  color: var(--ai-text, #f5f3ff);
  -webkit-text-size-adjust: 100%;
}

.ai-shell {
  min-height: 100vh;
  min-height: 100dvh;
  height: 100vh;
  height: 100dvh;
  display: grid;
  grid-template-columns: var(--ai-sidebar-w, 240px) 1fr;
}

.ai-sidebar {
  display: flex;
  flex-direction: column;
  gap: 16px;
  padding: 20px 16px;
  overflow-y: auto;
  border-right: 1px solid var(--ai-border, rgba(255, 255, 255, 0.08));
  background: var(--ai-bg, #0c0a12);
  z-index: 40;
}

.brand {
  display: flex;
  align-items: center;
  gap: 10px;
  font-weight: 700;
  font-size: 1.05rem;
  letter-spacing: -0.02em;
}
.brand-mark {
  width: 28px;
  height: 28px;
  border-radius: 8px;
  background: linear-gradient(135deg, var(--ai-accent, #e879f9), #818cf8);
  display: grid;
  place-items: center;
  font-size: 0.75rem;
  font-weight: 800;
  color: #0c0a12;
  flex-shrink: 0;
}

.nav {
  display: flex;
  flex-direction: column;
  gap: 4px;
}
.nav a {
  display: flex;
  align-items: center;
  gap: 10px;
  padding: 8px 12px;
  border-radius: 8px;
  color: var(--ai-text-muted, #a78bfa);
  text-decoration: none;
  font-size: 0.875rem;
  transition: background 0.15s, color 0.15s;
}
.nav a:hover,
.nav a.active {
  background: color-mix(in srgb, var(--ai-accent, #e879f9) 12%, transparent);
  color: var(--ai-text, #f5f3ff);
}

.side-section {
  display: flex;
  flex-direction: column;
  gap: 8px;
}
.side-section h3 {
  font-size: 0.7rem;
  text-transform: uppercase;
  letter-spacing: 0.06em;
  color: var(--ai-text-muted, #a78bfa);
  font-weight: 600;
}

.cp-row {
  display: flex;
  justify-content: space-between;
  gap: 8px;
  flex-wrap: wrap;
}
.cp-item {
  display: flex;
  flex-direction: column;
  align-items: center;
  gap: 4px;
  font-size: 0.7rem;
  color: var(--ai-text-muted, #a78bfa);
}

.ai-main {
  display: flex;
  flex-direction: column;
  min-height: 0;
  min-width: 0;
  overflow: hidden;
}

.topbar {
  display: flex;
  align-items: center;
  justify-content: space-between;
  padding: 12px 16px;
  border-bottom: 1px solid var(--ai-border, rgba(255, 255, 255, 0.08));
  gap: 10px;
  flex-wrap: wrap;
  flex-shrink: 0;
}
.topbar h1 {
  font-size: 1rem;
  font-weight: 600;
}
.topbar-actions {
  display: flex;
  gap: 8px;
  align-items: center;
  flex-wrap: wrap;
}
.chip {
  font-size: 0.75rem;
  padding: 4px 10px;
  border-radius: 999px;
  background: color-mix(in srgb, var(--ai-accent, #e879f9) 15%, transparent);
  color: var(--ai-accent, #e879f9);
  border: 1px solid color-mix(in srgb, var(--ai-accent, #e879f9) 30%, transparent);
  white-space: nowrap;
}

.workspace {
  flex: 1;
  display: grid;
  grid-template-columns: 1fr minmax(260px, 320px);
  min-height: 0;
  overflow: hidden;
}

.chat-col {
  display: flex;
  flex-direction: column;
  min-height: 0;
  min-width: 0;
  border-right: 1px solid var(--ai-border, rgba(255, 255, 255, 0.06));
}

.ai-messages {
  flex: 1;
  overflow-y: auto;
  padding: 16px;
  display: flex;
  flex-direction: column;
  gap: 14px;
  -webkit-overflow-scrolling: touch;
}

.ai-prompt {
  padding: 12px 16px calc(16px + env(safe-area-inset-bottom, 0px));
  border-top: 1px solid var(--ai-border, rgba(255, 255, 255, 0.06));
  flex-shrink: 0;
}

.right-panel {
  display: flex;
  flex-direction: column;
  gap: 16px;
  padding: 16px;
  overflow-y: auto;
  background: color-mix(in srgb, var(--ai-surface, #12101a) 80%, transparent);
  -webkit-overflow-scrolling: touch;
}

.panel-card {
  background: var(--ai-card, #1a1625);
  border: 1px solid var(--ai-border, rgba(255, 255, 255, 0.08));
  border-radius: 12px;
  padding: 14px;
}
.panel-card h3 {
  font-size: 0.8rem;
  font-weight: 600;
  margin-bottom: 10px;
  color: var(--ai-text-muted, #a78bfa);
}

.ai-workflow {
  display: flex;
  align-items: center;
  gap: 6px;
  flex-wrap: wrap;
  font-size: 0.75rem;
}
.ai-node {
  padding: 6px 10px;
  border-radius: 6px;
  background: var(--ai-surface, #161422);
  border: 1px solid var(--ai-border, rgba(255, 255, 255, 0.1));
}
.ai-node.is-active {
  border-color: var(--ai-accent, #e879f9);
  color: var(--ai-accent, #e879f9);
  box-shadow: 0 0 0 1px color-mix(in srgb, var(--ai-accent, #e879f9) 40%, transparent);
}
.ai-edge {
  width: 16px;
  height: 2px;
  background: var(--ai-border, rgba(255, 255, 255, 0.2));
}

.ai-usage {
  display: grid;
  grid-template-columns: 1fr 1fr;
  gap: 10px;
}
.ai-stat {
  background: var(--ai-surface, #161422);
  border-radius: 10px;
  padding: 10px 12px;
}
.ai-stat-label {
  display: block;
  font-size: 0.65rem;
  text-transform: uppercase;
  letter-spacing: 0.04em;
  color: var(--ai-text-muted, #a78bfa);
  margin-bottom: 4px;
}
.ai-stat-value {
  font-size: 1.15rem;
  font-weight: 700;
  letter-spacing: -0.02em;
}
.ai-stat-delta {
  font-size: 0.7rem;
  margin-left: 6px;
}
.ai-stat-delta.up { color: #4fffb0; }
.ai-stat-delta.down { color: #ff5e7d; }

.ai-tools {
  display: flex;
  flex-wrap: wrap;
  gap: 6px;
}
.ai-tool-chip {
  font-size: 0.7rem;
  padding: 4px 8px;
  border-radius: 6px;
  background: var(--ai-surface, #161422);
  border: 1px solid var(--ai-border, rgba(255, 255, 255, 0.1));
}
.ai-tool-chip.is-done { border-color: #4fffb0; color: #4fffb0; }
.ai-tool-chip.is-running { border-color: var(--ai-accent, #e879f9); color: var(--ai-accent, #e879f9); }

.muted {
  color: var(--ai-text-muted, #a78bfa);
  font-size: 0.8rem;
}

/* Mobile controls (hidden on desktop) */
.menu-btn,
.panel-btn,
.sidebar-backdrop {
  display: none;
}

/* TABLET <= 960px */
@media (max-width: 960px) {
  .ai-shell {
    grid-template-columns: 1fr;
  }

  .ai-sidebar {
    position: fixed;
    inset: 0 auto 0 0;
    width: min(280px, 86vw);
    transform: translateX(-105%);
    transition: transform 0.25s ease;
    box-shadow: none;
    border-right: 1px solid var(--ai-border, rgba(255, 255, 255, 0.08));
  }
  body.sidebar-open .ai-sidebar {
    transform: translateX(0);
    box-shadow: 8px 0 32px rgba(0, 0, 0, 0.45);
  }

  .sidebar-backdrop {
    display: block;
    position: fixed;
    inset: 0;
    background: rgba(0, 0, 0, 0.5);
    z-index: 35;
    opacity: 0;
    pointer-events: none;
    transition: opacity 0.25s ease;
  }
  body.sidebar-open .sidebar-backdrop {
    opacity: 1;
    pointer-events: auto;
  }

  .menu-btn,
  .panel-btn {
    display: inline-flex;
    align-items: center;
    justify-content: center;
    width: 36px;
    height: 36px;
    border-radius: 8px;
    border: 1px solid var(--ai-border, rgba(255, 255, 255, 0.12));
    background: var(--ai-surface, #161422);
    color: var(--ai-text, #f5f3ff);
    cursor: pointer;
    font-size: 1.1rem;
    flex-shrink: 0;
    line-height: 1;
  }

  .topbar {
    padding: 10px 12px;
    gap: 8px;
  }
  .topbar h1 {
    font-size: 0.95rem;
    flex: 1;
    min-width: 0;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .topbar-actions { gap: 6px; }
  .chip {
    font-size: 0.7rem;
    padding: 3px 8px;
  }
  #model-chip { display: none; }

  .workspace {
    grid-template-columns: 1fr;
    grid-template-rows: 1fr;
    position: relative;
  }
  .chat-col {
    border-right: none;
    min-height: 0;
  }

  .right-panel {
    position: fixed;
    inset: auto 0 0 0;
    max-height: min(72vh, 560px);
    border-radius: 16px 16px 0 0;
    border-top: 1px solid var(--ai-border, rgba(255, 255, 255, 0.1));
    transform: translateY(110%);
    transition: transform 0.28s ease;
    z-index: 30;
    box-shadow: 0 -8px 32px rgba(0, 0, 0, 0.4);
    padding-bottom: calc(16px + env(safe-area-inset-bottom, 0px));
  }
  body.panel-open .right-panel {
    transform: translateY(0);
  }
  .right-panel::before {
    content: "";
    display: block;
    width: 36px;
    height: 4px;
    border-radius: 999px;
    background: rgba(255, 255, 255, 0.2);
    margin: 0 auto 10px;
  }

  .token-chart { height: 140px; }
  .cp {
    --progress-size: 88px;
    --progress-stroke: 8px;
    font-size: 0.85rem;
  }
}

/* PHONE <= 600px */
@media (max-width: 600px) {
  .ai-messages {
    padding: 12px;
    gap: 12px;
  }
  .ai-prompt {
    padding: 10px 12px calc(12px + env(safe-area-inset-bottom, 0px));
  }
  .ai-usage {
    grid-template-columns: 1fr 1fr;
    gap: 8px;
  }
  .ai-stat { padding: 8px 10px; }
  .ai-stat-value { font-size: 1rem; }

  .cp-row {
    justify-content: center;
    gap: 12px;
  }
  .cp {
    --progress-size: 76px;
    --progress-stroke: 7px;
    font-size: 0.8rem;
  }

  .panel-card { padding: 12px; }
  .ai-workflow { gap: 4px; }
  .ai-node {
    padding: 5px 8px;
    font-size: 0.7rem;
  }
  .ai-edge { width: 10px; }

  .team-faces {
    --ou-avatar-size: 32px;
    --ou-overlap: -10px;
  }
  .ai-bubble { font-size: 0.9rem; }
}

/* VERY NARROW <= 380px */
@media (max-width: 380px) {
  .ai-usage { grid-template-columns: 1fr; }
  .chip#btn-refresh {
    padding: 3px 6px;
    font-size: 0.65rem;
  }
}

Why this structure works

Import only registers @define helpers. Nothing paints until you call them.
Compose and root helpers write design tokens on :root (or a scope).
Selector-parameterized helpers such as @ai-shell(.ai-shell) and @st-chart-fill(.chart-fill, tokenSeries) attach rules to your own class names.
Plain CSS after that is normal layout, overrides and media queries.

Can also use remote URLs:

@import((*) from "https://cdn.jsdelivr.net/gh/fscss-ttr/ai-ui.fscss@main/ai-ui.fscss")
@import((*) from "https://cdn.jsdelivr.net/gh/fscss-ttr/st-core.fscss@main/*Emails are not allowed*s")
@import((*) from "https://cdn.jsdelivr.net/gh/fscss-ttr/FSCSS@main/xf/styles/circle-progress.fscss")
@import((*) from "https://cdn.jsdelivr.net/gh/fscss-ttr/FSCSS@main/xf/styles/overlapui.fscss")

3. Compile FSCSS to CSS

# one-shot
fscss dashboard.fscss dashboard.css

# watch (recompile on save), if your fscss build supports it
# fscss dashboard.fscss dashboard.css --watch

The compiler:

Expands every @import, @define and @arr into standard CSS
Emits custom properties (--st-p1 to --st-p12, --ai-*, --progress-* and so on)
Emits clip-path: polygon(...) for the chart fill and line
Leaves your media queries and plain CSS intact

Ship only dashboard.css to production. No runtime.min.js is needed on this path.

4. dashboard.html: the markup

Link the compiled stylesheet. There is no FSCSS runtime script.

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8" />
  <meta name="viewport" content="width=device-width, initial-scale=1.0, viewport-fit=cover" />
  <title>AI Ops Dashboard · ai-ui + st-core@v2</title>
  <link rel="stylesheet" href="dashboard.css" />
</head>
<body>
  <div class="sidebar-backdrop" id="sidebar-backdrop" aria-hidden="true"></div>

  <div class="ai-shell">
    <!-- Sidebar -->
    <aside class="ai-sidebar" id="sidebar" aria-label="Sidebar">
      <div class="brand">
        <span class="brand-mark">AI</span>
        <span>Ops Console</span>
      </div>

      <nav class="nav">
        <a href="#" class="active">Dashboard</a>
        <a href="#">Agents</a>
        <a href="#">Workflows</a>
        <a href="#">Usage</a>
        <a href="#">Settings</a>
      </nav>

      <div class="side-section">
        <h3>Team online</h3>
        <div class="team-faces avatar-overlap">
          <div class="ou-avatar" data-alph="F" style="--ou-c: #e879f9"></div>
          <div class="ou-avatar" data-alph="S" style="--ou-c: #818cf8"></div>
          <div class="ou-avatar" data-alph="A" style="--ou-c: #4fffb0"></div>
          <div class="ou-avatar" data-alph="+" style="--ou-c: #fbbf24"></div>
        </div>
        <p class="muted">4 agents · 2 human</p>
      </div>

      <div class="side-section">
        <h3>Capacity</h3>
        <div class="cp-row">
          <div class="cp-item">
            <div class="cp cp-72">72%</div>
            <span>GPU</span>
          </div>
          <div class="cp-item">
            <div class="cp cp-48">48%</div>
            <span>Queue</span>
          </div>
          <div class="cp-item">
            <div class="cp cp-91">91%</div>
            <span>Quota</span>
          </div>
        </div>
      </div>

      <div class="side-section" style="margin-top: auto;">
        <h3>Session</h3>
        <p class="muted" id="session-info">Compiled · FSCSS 1.2.6</p>
      </div>
    </aside>

    <!-- Main -->
    <main class="ai-main">
      <header class="topbar">
        <button type="button" class="menu-btn" id="menu-btn" aria-label="Open menu" aria-expanded="false">☰</button>
        <h1>Agent workspace</h1>
        <div class="topbar-actions">
          <span class="chip" id="model-chip">model: gpt-ops · live</span>
          <button type="button" class="chip" id="btn-refresh" style="cursor:pointer;border:none;">↻ refresh</button>
          <button type="button" class="panel-btn" id="panel-btn" aria-label="Open metrics panel" aria-expanded="false">▣</button>
        </div>
      </header>

      <div class="workspace">
        <div class="chat-col">
          <div class="ai-messages" id="messages">
            <div class="ai-message ai-message-assistant">
              <div class="ai-avatar">AI</div>
              <div class="ai-bubble">
                Ops console ready. Token burn and queue depth are within targets.
                Ask for a status summary or kick off a workflow.
              </div>
            </div>
            <div class="ai-message ai-message-user">
              <div class="ai-avatar">U</div>
              <div class="ai-bubble">Show token trend and current agent pipeline.</div>
            </div>
            <div class="ai-message ai-message-assistant">
              <div class="ai-avatar">AI</div>
              <div class="ai-bubble">
                <div class="ai-tools" style="margin-bottom:8px">
                  <span class="ai-tool-chip is-done">✓ metrics.read</span>
                  <span class="ai-tool-chip is-done">✓ workflow.snapshot</span>
                </div>
                Token series is up ~12% vs yesterday. Pipeline is on step <strong>Generate</strong>.
                Chart and workflow updated in the side panel.
                <div class="ai-citations" style="margin-top:8px">
                  <a class="ai-citation" href="#"><span class="ai-cite-num">1</span> metrics.api</a>
                  <a class="ai-citation" href="#"><span class="ai-cite-num">2</span> agent.graph</a>
                </div>
              </div>
            </div>
          </div>

          <form class="ai-prompt" id="prompt-form">
            <textarea class="ai-prompt-box" id="prompt-input" rows="1" placeholder="Ask the ops agent…" aria-label="Prompt"></textarea>
            <button class="ai-prompt-send" type="submit" aria-label="Send">↑</button>
          </form>
        </div>

        <aside class="right-panel" id="right-panel" aria-label="Metrics panel">
          <div class="panel-card">
            <h3>Token burn (12 pts)</h3>
            <div class="token-chart" id="token-chart">
              <div class="chart-fill"></div>
              <div class="chart-line"></div>
            </div>
          </div>

          <div class="panel-card">
            <h3>Agent pipeline</h3>
            <div class="ai-workflow" id="workflow">
              <div class="ai-node">Ingest</div>
              <div class="ai-edge"></div>
              <div class="ai-node">Parse</div>
              <div class="ai-edge"></div>
              <div class="ai-node is-active">Generate</div>
              <div class="ai-edge"></div>
              <div class="ai-node">Review</div>
            </div>
          </div>

          <div class="panel-card">
            <h3>Usage today</h3>
            <div class="ai-usage">
              <div class="ai-stat">
                <span class="ai-stat-label">Tokens</span>
                <span class="ai-stat-value" id="stat-tokens">48.2k</span>
                <span class="ai-stat-delta up">+12%</span>
              </div>
              <div class="ai-stat">
                <span class="ai-stat-label">Requests</span>
                <span class="ai-stat-value" id="stat-req">1,284</span>
                <span class="ai-stat-delta up">+4%</span>
              </div>
              <div class="ai-stat">
                <span class="ai-stat-label">Latency p95</span>
                <span class="ai-stat-value" id="stat-lat">312ms</span>
                <span class="ai-stat-delta down">−8%</span>
              </div>
              <div class="ai-stat">
                <span class="ai-stat-label">Errors</span>
                <span class="ai-stat-value" id="stat-err">0.4%</span>
                <span class="ai-stat-delta down">−0.1</span>
              </div>
            </div>
          </div>

          <div class="panel-card">
            <h3>Active tools</h3>
            <div class="ai-tools" id="tools">
              <span class="ai-tool-chip is-done">✓ Search</span>
              <span class="ai-tool-chip is-running">● Stream</span>
              <span class="ai-tool-chip">Code exec</span>
              <span class="ai-tool-chip">RAG</span>
            </div>
          </div>
        </aside>
      </div>
    </main>
  </div>

  <script src="dashboard.js" defer></script>
</body>
</html>

The class names match the selectors you passed into the FSCSS helpers: @ai-shell(.ai-shell), @circle-progress(.cp) and so on.

5. dashboard.js: behavior

// dashboard.js
// Chat mock, mobile drawers, st-core live chart updates

const $ = (s, r = document) => r.querySelector(s);
const $$ = (s, r = document) => [...r.querySelectorAll(s)];

/* st-core: update linear chart via CSS variables.
   Higher data value gives a lower --st-pN % and a higher visual position.
*/
function updateTokenChart(values) {
  const el = $('#token-chart');
  if (!el) return;
  el.style.cssText = values
    .map((v, i) => `--st-p${i + 1}: ${100 - v}%`)
    .join('; ');
}

let series = [32, 48, 55, 42, 68, 75, 61, 88, 72, 91, 84, 96];

function nudgeSeries() {
  series = series.map((v) => {
    const d = (Math.random() - 0.45) * 12;
    return Math.max(8, Math.min(98, Math.round(v + d)));
  });
  updateTokenChart(series);
  const sum = series.reduce((a, b) => a + b, 0);
  const tokensEl = $('#stat-tokens');
  if (tokensEl) tokensEl.textContent = (sum * 0.42).toFixed(1) + 'k';
}

/* Mobile drawers */
const menuBtn = $('#menu-btn');
const panelBtn = $('#panel-btn');
const backdrop = $('#sidebar-backdrop');

function closeSidebar() {
  document.body.classList.remove('sidebar-open');
  menuBtn?.setAttribute('aria-expanded', 'false');
}
function openSidebar() {
  document.body.classList.add('sidebar-open');
  document.body.classList.remove('panel-open');
  menuBtn?.setAttribute('aria-expanded', 'true');
  panelBtn?.setAttribute('aria-expanded', 'false');
}
function closePanel() {
  document.body.classList.remove('panel-open');
  panelBtn?.setAttribute('aria-expanded', 'false');
}
function openPanel() {
  document.body.classList.add('panel-open');
  document.body.classList.remove('sidebar-open');
  panelBtn?.setAttribute('aria-expanded', 'true');
  menuBtn?.setAttribute('aria-expanded', 'false');
}

menuBtn?.addEventListener('click', () => {
  document.body.classList.contains('sidebar-open') ? closeSidebar() : openSidebar();
});
panelBtn?.addEventListener('click', () => {
  document.body.classList.contains('panel-open') ? closePanel() : openPanel();
});
backdrop?.addEventListener('click', () => {
  closeSidebar();
  closePanel();
});

const mq = window.matchMedia('(min-width: 961px)');
mq.addEventListener?.('change', (e) => {
  if (e.matches) {
    closeSidebar();
    closePanel();
  }
});

document.addEventListener('keydown', (e) => {
  if (e.key === 'Escape') {
    closeSidebar();
    closePanel();
  }
});

/* Chat / prompt */
const messages = $('#messages');
const form = $('#prompt-form');
const input = $('#prompt-input');

function appendMessage(role, html, streaming = false) {
  const row = document.createElement('div');
  row.className = `ai-message ai-message-${role}`;
  row.innerHTML = `
    <div class="ai-avatar">${role === 'user' ? 'U' : 'AI'}</div>
    <div class="ai-bubble${streaming ? ' ai-stream' : ''}">${html}</div>
  `;
  messages.appendChild(row);
  messages.scrollTop = messages.scrollHeight;
  return row;
}

function thinking() {
  const t = document.createElement('div');
  t.className = 'ai-message ai-message-assistant';
  t.id = 'thinking-row';
  t.innerHTML = `
    <div class="ai-avatar">AI</div>
    <div class="ai-bubble">
      <div class="ai-thinking">
        <span class="ai-dot"></span>
        <span class="ai-dot"></span>
        <span class="ai-dot"></span>
        Thinking…
      </div>
    </div>
  `;
  messages.appendChild(t);
  messages.scrollTop = messages.scrollHeight;
}

function clearThinking() {
  $('#thinking-row')?.remove();
}

const replies = [
  {
    tools: true,
    text: 'Pipeline advanced. Generate step is now complete; Review is active. Token chart refreshed.',
    advance: true,
  },
  {
    tools: false,
    text: 'Queue depth is healthy. GPU at ~72%. No action required unless you want to scale workers.',
    advance: false,
  },
  {
    tools: true,
    text: 'Pulled latest metrics. p95 latency improved. I can open a usage breakdown if you need it.',
    advance: false,
  },
];
let replyIdx = 0;

form?.addEventListener('submit', (e) => {
  e.preventDefault();
  const text = input.value.trim();
  if (!text) return;
  appendMessage('user', text);
  input.value = '';
  input.style.height = 'auto';

  thinking();
  setTimeout(() => {
    clearThinking();
    const r = replies[replyIdx % replies.length];
    replyIdx++;
    let body = '';
    if (r.tools) {
      body += `<div class="ai-tools" style="margin-bottom:8px">
        <span class="ai-tool-chip is-done">✓ metrics.read</span>
        <span class="ai-tool-chip is-running">● workflow.tick</span>
      </div>`;
    }
    body += r.text;
    const row = appendMessage('assistant', body, true);
    setTimeout(() => row.querySelector('.ai-bubble')?.classList.remove('ai-stream'), 1800);

    if (r.advance) {
      const nodes = $$('#workflow .ai-node');
      const active = nodes.findIndex((n) => n.classList.contains('is-active'));
      if (active >= 0 && active < nodes.length - 1) {
        nodes[active].classList.remove('is-active');
        nodes[active + 1].classList.add('is-active');
      }
    }
    nudgeSeries();
  }, 900 + Math.random() * 600);
});

input?.addEventListener('input', () => {
  input.style.height = 'auto';
  input.style.height = Math.min(input.scrollHeight, 120) + 'px';
});

$('#btn-refresh')?.addEventListener('click', () => {
  nudgeSeries();
  const btn = $('#btn-refresh');
  btn.textContent = '↻ updated';
  setTimeout(() => {
    btn.textContent = '↻ refresh';
  }, 1200);
});

updateTokenChart(series);
setInterval(nudgeSeries, 14000);

The chart control layer

st-core paints with CSS only. For live data, you set custom properties on the chart host:

el.style.cssText = values
  .map((v, i) => `--st-p${i + 1}: ${100 - v}%`)
  .join('; ');

The polygon length is fixed at compile time by the length of @arr tokenSeries[...], which is 12 points here. Do not change the number of points at runtime without a matching compiled sheet. Only change the values.

6. Run it

# compile
fscss dashboard.fscss dashboard.css

# serve (any static server)
npx serve .
# or: python -m http.server 8080

Open http://localhost:3000/dashboard.html (or whichever port your server uses).

Quick checklist:

[ ] Sidebar, brand and nav render
[ ] Circle progress rings show
[ ] Overlapping avatars show
[ ] Token chart is visible
[ ] Prompt sends, then thinking, then a reply
[ ] The refresh button updates chart numbers
[ ] At 960px and below, ☰ opens the sidebar and ▣ opens the bottom sheet

7. How the modules fit together

┌─────────────────────────────────────────────────────────┐
│  ai-ui.fscss                                            │
│  Shell · Messages · Prompt · Stream · Thinking · Usage  │
│  Workflow · Tools · Citations                           │
├──────────────────────┬──────────────────────────────────┤
│  st-core@v2          │  circle-progress                 │
│  Area / line chart   │  GPU · Queue · Quota rings       │
│  --st-pN variables   │  --progress-* variables          │
├──────────────────────┴──────────────────────────────────┤
│  overlapui                                              │
│  .team-faces avatar stack                               │
├─────────────────────────────────────────────────────────┤
│  dashboard.js                                           │
│  Drawers · chat mock · updateTokenChart(series)         │
└─────────────────────────────────────────────────────────┘

ai-ui and st-core intentionally avoid selector collisions, so you can compose them freely.

8. Optional: npm scripts and CI

{
  "name": "ai-ops-dashboard",
  "private": true,
  "scripts": {
    "build:css": "fscss dashboard.fscss dashboard.css",
    "build": "npm run build:css",
    "start": "npx serve ."
  },
  "devDependencies": {
    "fscss": "1.2.6"
  }
}

npm install
npm run build
npm start

Pin fscss@1.2.6 so local and CI builds match.

9. Prototype vs production

Mode	When	How
Runtime (CDN)	Quick demos, the FSCSS IDE, single HTML file	`<script src="…/runtime.min.js">` plus `@import` inside `<style>`
CLI compile	Real apps, static hosting, zero client preprocessor	`fscss in.fscss out.css` plus `<link rel="stylesheet" href="out.css">`

This tutorial uses the CLI path. Keep the single file runtime version for playgrounds only.

10. Where to go next

Swap @ai-compose-dashboard() for @ai-compose-copilot() or @ai-compose-research()
Add a second @arr series and another fill and line for multi-line charts
Replace the mock replies with a real agent or streaming API
Drive circle progress from JS by setting --progress-* or swapping the .cp-72 classes
Add a spider chart from st-core (@st-spider-points, @st-spider-fill and friends) in a new panel card

References

ai-ui.fscss: AI chrome (shell, messages, prompt, usage, workflow)
st-core.fscss: pure CSS area, line and spider charts
circle-progress: conic-gradient rings
overlapui: stacked avatars and cards
FSCSS modules: the import system
fscss on npm: CLI and runtime

Those modules are MIT licensed.

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loneraver · Answer 1 · 2026-10-28T16:25:21+0000

Nice project. Building an AI ops dashboard with reusable components and CSS modules is a practical approach. I especially like the focus on UI structure and handling overlapping progress circles. Clean, reusable components make dashboards much easier to maintain as they grow.

	Building Circular UI with circle-progress.fscss (No JavaScript) Figsh - Sep 13
	Dashboard Operasional Armada Rental Mobil dengan Python + FastAPI Masbadar - Mar 12
	How to Use st-core.fscss with Svelte Figsh - Sep 21
	Designing Stats UIs with FSCSS and st-core Figsh - Apr 4
	Finally Shipped st-core.fscss v2 — CSS Charts Without the 8-Point Ceiling Figsh - Sep 18

Build an AI Ops Dashboard with FSCSS modules (ai-ui, st-core, circle-progress, overlapui)

What we are building

Prerequisites

1. Project setup

2. dashboard.fscss: the styles source

Why this structure works

3. Compile FSCSS to CSS

4. dashboard.html: the markup

5. dashboard.js: behavior

The chart control layer

6. Run it

7. How the modules fit together

8. Optional: npm scripts and CI

9. Prototype vs production

10. Where to go next

References

2 Comments

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Building Circular UI with circle-progress.fscss (No JavaScript)

Dashboard Operasional Armada Rental Mobil dengan Python + FastAPI

How to Use st-core.fscss with Svelte

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Finally Shipped st-core.fscss v2 — CSS Charts Without the 8-Point Ceiling

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Build an AI Ops Dashboard with FSCSS modules (ai-ui, st-core, circle-progress, overlapui)

What we are building

Prerequisites

1. Project setup

2. dashboard.fscss: the styles source

Why this structure works

3. Compile FSCSS to CSS

4. dashboard.html: the markup

5. dashboard.js: behavior

The chart control layer

6. Run it

7. How the modules fit together

8. Optional: npm scripts and CI

9. Prototype vs production

10. Where to go next

References

2 Comments

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More From Figsh

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Commenters (This Week)