Add pipeline backlog/throughput dashboard to admin Logs tab

Admins had no visibility into how many articles were queued for AI
synthesis or waiting out the hold-before-publish window, nor how fast
Ollama could clear that backlog. GET /api/admin/pipeline-stats reports
a live backlog snapshot (items awaiting embedding, clusters on hold vs.
ready, items still held) computed straight from the DB with no AI
calls, plus real Ollama generate() throughput (tokens/sec, in-flight
call) tracked from actual requests, and estimates minutes-to-clear from
recent generate() call durations. Surfaced as a stat-tile dashboard atop
the Logs tab.

backend/src/api/admin.ts

@@ -11,6 +11,8 @@ import { totalStorageBytes } from '../storage/media/index.js';
 import { OllamaProvider } from '../inference/ollama-provider.js';
 import { pollSourceNow } from '../ingestion/poller.js';
 import { logger, listLogs } from '../storage/db/logs.js';
+import * as backlogStats from '../queue/backlogStats.js';
+import * as ollamaStats from '../inference/stats.js';
 import * as telegramClient from '../telegram/client.js';
 import { geocodeLocation } from '../weather/client.js';
 import { pollWeatherNow } from '../weather/poller.js';
@@ -347,4 +349,37 @@ export async function registerAdminRoutes(app: FastifyInstance) {
 			limit: limit ? Number(limit) : undefined
 		});
 	});
+
+	// Backlog/throughput dashboard for the Logs tab — backlog counts are recomputed live
+	// from the DB on every request (cheap: no AI calls, see backlogStats.ts), while Ollama
+	// throughput/in-flight status comes from a rolling in-memory sample of recent
+	// generate() calls (see inference/stats.ts) since that can only be observed as calls
+	// actually happen, not recomputed on demand.
+	app.get('/api/admin/pipeline-stats', async () => {
+		const settings = settingsDb.getSettings();
+		const backlog = backlogStats.getBacklogSnapshot(settings);
+		const throughput = ollamaStats.getThroughput();
+		const inFlight = ollamaStats.getInFlight();
+		const { lastDirectCycle, lastSynthesisCycle } = backlogStats.getLastCycles();
+
+		// Estimate is deliberately conservative: only clusters that actually need an LLM
+		// call (2+ items — see backlogStats.ts) count toward it, and it's null (rather than
+		// a misleading guess) until at least one real generate() call has completed, since
+		// there's no token-speed data to estimate from yet.
+		const estimatedMinutesToClear =
+			backlog.clusters.readyNowNeedingSynthesis === 0
+				? 0
+				: throughput.avgGenerateDurationMs !== null
+					? Math.ceil((backlog.clusters.readyNowNeedingSynthesis * throughput.avgGenerateDurationMs) / 60_000)
+					: null;
+
+		return {
+			timestamp: new Date().toISOString(),
+			ollama: { inFlight, ...throughput },
+			backlog,
+			estimatedMinutesToClear,
+			lastDirectCycle,
+			lastSynthesisCycle
+		};
+	});
 }

backend/src/inference/ollama-provider.ts

@@ -1,5 +1,6 @@
 import { Agent } from 'undici';
 import type { InferenceProvider } from './provider.js';
+import * as stats from './stats.js';
 
 /**
  * Node's global fetch (undici) defaults to a 5-minute headers/body timeout — fine for
@@ -51,28 +52,52 @@ export class OllamaProvider implements InferenceProvider {
 
 	async generate(
 		prompt: string,
-		opts: { model?: string; system?: string; numCtx?: number; numPredict?: number } = {}
+		opts: { model?: string; system?: string; numCtx?: number; numPredict?: number; label?: string } = {}
 	): Promise<string> {
-		const res = await fetch(`${this.base()}/api/generate`, {
+		const startedAt = Date.now();
-			method: 'POST',
+		stats.recordGenerateStart(opts.label ?? 'synthesis');
-			headers: { 'Content-Type': 'application/json' },
+		try {
-			body: JSON.stringify({
+			const res = await fetch(`${this.base()}/api/generate`, {
-				model: opts.model,
+				method: 'POST',
-				prompt,
+				headers: { 'Content-Type': 'application/json' },
-				system: opts.system,
+				body: JSON.stringify({
-				stream: false,
+					model: opts.model,
-				options: {
+					prompt,
-					num_ctx: opts.numCtx ?? DEFAULT_NUM_CTX,
+					system: opts.system,
-					num_predict: opts.numPredict ?? DEFAULT_NUM_PREDICT
+					stream: false,
-				}
+					options: {
-			}),
+						num_ctx: opts.numCtx ?? DEFAULT_NUM_CTX,
-			// Not in the ambient RequestInit type this project resolves to, but Node's global
+						num_predict: opts.numPredict ?? DEFAULT_NUM_PREDICT
-			// fetch (built on undici) honors it at runtime — see noTimeoutDispatcher above.
+					}
-			dispatcher: noTimeoutDispatcher
+				}),
-		} as RequestInit);
+				// Not in the ambient RequestInit type this project resolves to, but Node's global
-		if (!res.ok) throw new Error(`Ollama generate failed: ${res.status} ${await res.text()}`);
+				// fetch (built on undici) honors it at runtime — see noTimeoutDispatcher above.
-		const data = (await res.json()) as { response: string };
+				dispatcher: noTimeoutDispatcher
-		return data.response;
+			} as RequestInit);
+			if (!res.ok) throw new Error(`Ollama generate failed: ${res.status} ${await res.text()}`);
+			const data = (await res.json()) as {
+				response: string;
+				eval_count?: number;
+				eval_duration?: number;
+				prompt_eval_count?: number;
+				prompt_eval_duration?: number;
+				total_duration?: number;
+			};
+			// Ollama reports these *_duration fields in nanoseconds — dividing eval_count by
+			// (eval_duration/1e9) gives generation tokens/sec, and total_duration/1e6 gives
+			// wall-clock milliseconds (falling back to a local measurement if a given Ollama
+			// version's response ever omits it).
+			stats.recordGenerateEnd({
+				genTokensPerSec: data.eval_count && data.eval_duration ? data.eval_count / (data.eval_duration / 1e9) : null,
+				promptTokensPerSec:
+					data.prompt_eval_count && data.prompt_eval_duration ? data.prompt_eval_count / (data.prompt_eval_duration / 1e9) : null,
+				totalDurationMs: data.total_duration ? data.total_duration / 1e6 : Date.now() - startedAt
+			});
+			return data.response;
+		} catch (err) {
+			stats.recordGenerateEnd(null);
+			throw err;
+		}
 	}
 
 	async embed(text: string, opts: { model?: string } = {}): Promise<number[]> {

backend/src/inference/provider.ts

@@ -1,5 +1,8 @@
 export interface InferenceProvider {
-	generate(prompt: string, opts?: { model?: string; system?: string; numCtx?: number; numPredict?: number }): Promise<string>;
+	generate(
+		prompt: string,
+		opts?: { model?: string; system?: string; numCtx?: number; numPredict?: number; label?: string }
+	): Promise<string>;
 	embed(text: string, opts?: { model?: string }): Promise<number[]>;
 	listModels(): Promise<string[]>;
 	isReachable(): Promise<boolean>;

backend/src/inference/stats.ts

@@ -0,0 +1,57 @@
+/**
+ * In-memory-only tracking of Ollama generate() throughput and in-flight status, for the
+ * admin "Logs" dashboard (see queue/backlogStats.ts, api/admin.ts's GET
+ * /api/admin/pipeline-stats). Deliberately not persisted to disk — a restart losing a
+ * few minutes of rolling samples is fine, since the next few generate() calls rebuild it.
+ */
+
+const MAX_SAMPLES = 20;
+
+export interface GenerateSample {
+	/** Generation speed (tokens/sec) from Ollama's eval_count/eval_duration — null if the response omitted them. */
+	genTokensPerSec: number | null;
+	/** Prompt-processing speed (tokens/sec) from prompt_eval_count/prompt_eval_duration — usually the dominant cost on CPU-only inference. */
+	promptTokensPerSec: number | null;
+	totalDurationMs: number;
+}
+
+const samples: GenerateSample[] = [];
+let inFlight: { label: string; startedAt: number } | null = null;
+
+/** Call immediately before issuing a generate() request. */
+export function recordGenerateStart(label: string): void {
+	inFlight = { label, startedAt: Date.now() };
+}
+
+/** Call in a finally block after the request settles — pass null on failure/abort. */
+export function recordGenerateEnd(sample: GenerateSample | null): void {
+	inFlight = null;
+	if (!sample) return;
+	samples.push(sample);
+	if (samples.length > MAX_SAMPLES) samples.shift();
+}
+
+export function getInFlight(): { label: string; elapsedMs: number } | null {
+	return inFlight ? { label: inFlight.label, elapsedMs: Date.now() - inFlight.startedAt } : null;
+}
+
+function average(nums: number[]): number | null {
+	if (nums.length === 0) return null;
+	return nums.reduce((a, b) => a + b, 0) / nums.length;
+}
+
+export interface ThroughputStats {
+	sampleCount: number;
+	avgGenTokensPerSec: number | null;
+	avgPromptTokensPerSec: number | null;
+	avgGenerateDurationMs: number | null;
+}
+
+export function getThroughput(): ThroughputStats {
+	return {
+		sampleCount: samples.length,
+		avgGenTokensPerSec: average(samples.map((s) => s.genTokensPerSec).filter((n): n is number => n !== null)),
+		avgPromptTokensPerSec: average(samples.map((s) => s.promptTokensPerSec).filter((n): n is number => n !== null)),
+		avgGenerateDurationMs: average(samples.map((s) => s.totalDurationMs))
+	};
+}

backend/src/pipeline/synthesis.ts

@@ -137,7 +137,8 @@ export async function synthesizeArticle(
 ): Promise<SynthesisResult> {
 	const prompt = buildPrompt(items, sourceNames);
 	const system = SYSTEM_PROMPT_BASE + styleAddendum(settings);
-	const raw = await provider.generate(prompt, { model, system, numCtx: DEFAULT_NUM_CTX, numPredict: DEFAULT_NUM_PREDICT });
+	const label = `Merging ${items.length} source${items.length === 1 ? '' : 's'}: "${items[0]?.title.slice(0, 60) ?? ''}"`;
+	const raw = await provider.generate(prompt, { model, system, numCtx: DEFAULT_NUM_CTX, numPredict: DEFAULT_NUM_PREDICT, label });
 	return parseResult(raw);
 }
 
@@ -175,7 +176,8 @@ export async function synthesizeRecap(
 		model,
 		system: RECAP_SYSTEM_PROMPT_BASE + styleAddendum(settings),
 		numCtx: DEFAULT_NUM_CTX,
-		numPredict: DEFAULT_NUM_PREDICT
+		numPredict: DEFAULT_NUM_PREDICT,
+		label: `Recapping event: "${eventName.slice(0, 60)}"`
 	});
 	return parseResult(raw);
 }

backend/src/queue/backlogStats.ts

@@ -0,0 +1,114 @@
+import * as contentItemsDb from '../storage/db/contentItems.js';
+import * as sourcesDb from '../storage/db/sources.js';
+import * as categoriesDb from '../storage/db/categories.js';
+import { clusterItems } from '../pipeline/clustering.js';
+import type { ContentItem, GlobalSettings, Source } from '../storage/db/types.js';
+
+interface CycleRecord {
+	at: string;
+	published: number;
+}
+
+let lastDirectCycle: CycleRecord | null = null;
+let lastSynthesisCycle: CycleRecord | null = null;
+
+/** Called by priorityQueue.ts at the end of runDirectPublishCycle. */
+export function recordDirectPublishCycle(published: number): void {
+	lastDirectCycle = { at: new Date().toISOString(), published };
+}
+
+/** Called by priorityQueue.ts at the end of runSynthesisCycle. */
+export function recordSynthesisCycle(published: number): void {
+	lastSynthesisCycle = { at: new Date().toISOString(), published };
+}
+
+export function getLastCycles(): { lastDirectCycle: CycleRecord | null; lastSynthesisCycle: CycleRecord | null } {
+	return { lastDirectCycle, lastSynthesisCycle };
+}
+
+function inAiDisabledCategory(item: ContentItem, disabledNames: Set<string>, sourcesById: Map<string, Source>): boolean {
+	const source = sourcesById.get(item.sourceId);
+	for (const cat of source?.category ?? []) {
+		if (disabledNames.has(cat.split(':')[0].trim().toLowerCase())) return true;
+	}
+	return false;
+}
+
+export interface BacklogSnapshot {
+	totalUnclusteredItems: number;
+	/** Items that need no AI at all (YouTube/Nitter/Telegram sources, or "No AI" categories) — publish on the next direct-publish tick. */
+	directEligibleItems: number;
+	/** Mergeable items that haven't been embedded yet (embed() failed/pending, or just ingested since the last synthesis tick). */
+	awaitingEmbeddingItems: number;
+	clusters: {
+		total: number;
+		/** Cleared the hold-before-publish window — will publish on the next synthesis tick. */
+		readyNow: number;
+		/** Of readyNow, clusters with 2+ items — these are the ones that actually need an LLM generate() call (single-item clusters publish verbatim, no AI). */
+		readyNowNeedingSynthesis: number;
+		/** Still waiting out the hold-before-publish window. */
+		onHold: number;
+		itemsOnHold: number;
+		earliestHoldRemainingMs: number | null;
+	};
+}
+
+/**
+ * Read-only snapshot of the current backlog for the admin dashboard — mirrors the same
+ * categorization runDirectPublishCycle/runSynthesisCycle use (priorityQueue.ts), but never
+ * calls the AI itself: items with no embedding yet are just counted, not embedded, and
+ * clustering only runs over items that already have one (cosine similarity over stored
+ * vectors — no network call). Cheap enough to call on every dashboard refresh.
+ */
+export function getBacklogSnapshot(settings: GlobalSettings): BacklogSnapshot {
+	const items = contentItemsDb.unclusteredItemsExcludingSources([]);
+	const sourcesById = new Map(sourcesDb.listSources().map((s) => [s.id, s]));
+	const categories = categoriesDb.listCategories();
+
+	const directPublishSourceIds = new Set(
+		[...sourcesById.values()].filter((s) => s.type === 'youtube' || s.type === 'nitter' || s.type === 'telegram').map((s) => s.id)
+	);
+	const aiDisabledCategoryNames = new Set(categories.filter((c) => c.disableAi).map((c) => c.name.toLowerCase()));
+
+	const directEligible: ContentItem[] = [];
+	const mergeable: ContentItem[] = [];
+	for (const item of items) {
+		if (directPublishSourceIds.has(item.sourceId) || inAiDisabledCategory(item, aiDisabledCategoryNames, sourcesById)) {
+			directEligible.push(item);
+		} else {
+			mergeable.push(item);
+		}
+	}
+
+	const awaitingEmbedding = mergeable.filter((item) => !item.embedding);
+	const embedded = mergeable.filter((item) => item.embedding);
+
+	const clusters = clusterItems(embedded, settings.mergeStrictness);
+	const holdMs = settings.holdBeforePublishMinutes * 60_000;
+
+	let readyNow = 0;
+	let readyNowNeedingSynthesis = 0;
+	let onHold = 0;
+	let itemsOnHold = 0;
+	let earliestHoldRemainingMs: number | null = null;
+
+	for (const cluster of clusters) {
+		const earliestFetch = Math.min(...cluster.items.map((i) => new Date(i.fetchedAt).getTime()));
+		const remaining = holdMs - (Date.now() - earliestFetch);
+		if (remaining > 0) {
+			onHold++;
+			itemsOnHold += cluster.items.length;
+			earliestHoldRemainingMs = earliestHoldRemainingMs === null ? remaining : Math.min(earliestHoldRemainingMs, remaining);
+		} else {
+			readyNow++;
+			if (cluster.items.length > 1) readyNowNeedingSynthesis++;
+		}
+	}
+
+	return {
+		totalUnclusteredItems: items.length,
+		directEligibleItems: directEligible.length,
+		awaitingEmbeddingItems: awaitingEmbedding.length,
+		clusters: { total: clusters.length, readyNow, readyNowNeedingSynthesis, onHold, itemsOnHold, earliestHoldRemainingMs }
+	};
+}

backend/src/queue/priorityQueue.ts

@@ -7,6 +7,7 @@ import { embedPendingItems } from '../pipeline/embedding.js';
 import { clusterItems } from '../pipeline/clustering.js';
 import { publishCluster, publishDirect } from '../pipeline/publish.js';
 import { logger } from '../storage/db/logs.js';
+import * as backlogStats from './backlogStats.js';
 import type { GlobalSettings, ContentItem, TrackedEvent, Source } from '../storage/db/types.js';
 
 function partition<T>(items: T[], predicate: (item: T) => boolean): [T[], T[]] {
@@ -123,7 +124,10 @@ export async function runPassthroughCycle(settings: GlobalSettings): Promise<num
 export async function runDirectPublishCycle(settings: GlobalSettings): Promise<number> {
 	const activeEvents = eventsDb.listActiveEvents();
 	const items = contentItemsDb.unclusteredItemsExcludingSources([]);
-	if (items.length === 0) return 0;
+	if (items.length === 0) {
+		backlogStats.recordDirectPublishCycle(0);
+		return 0;
+	}
 
 	const sourcesById = new Map(sourcesDb.listSources().map((s) => [s.id, s]));
 	const categories = categoriesDb.listCategories();
@@ -152,7 +156,9 @@ export async function runDirectPublishCycle(settings: GlobalSettings): Promise<n
 		'Direct publish failed'
 	);
 
-	return publishedTypeDirect + publishedCategoryDirect;
+	const total = publishedTypeDirect + publishedCategoryDirect;
+	backlogStats.recordDirectPublishCycle(total);
+	return total;
 }
 
 /**
@@ -167,7 +173,10 @@ export async function runDirectPublishCycle(settings: GlobalSettings): Promise<n
 export async function runSynthesisCycle(provider: InferenceProvider, settings: GlobalSettings): Promise<number> {
 	const activeEvents = eventsDb.listActiveEvents();
 	const items = contentItemsDb.unclusteredItemsExcludingSources([]);
-	if (items.length === 0) return 0;
+	if (items.length === 0) {
+		backlogStats.recordSynthesisCycle(0);
+		return 0;
+	}
 
 	// One fetch of the full source list per cycle, reused below for both the
 	// direct-publish exclusion and each item's category/rank lookups — avoids a
@@ -245,5 +254,7 @@ export async function runSynthesisCycle(provider: InferenceProvider, settings: G
 		);
 	}
 
+	backlogStats.recordSynthesisCycle(published);
+
 	return published;
 }

frontend/src/lib/adminApi.ts

@@ -13,7 +13,8 @@ import type {
 	AdminStockTicker,
 	AdminBookmark,
 	Poe2BrowseEntry,
-	AdminPoe2Entry
+	AdminPoe2Entry,
+	PipelineStats
 } from './adminTypes';
 
 async function request<T>(path: string, options: RequestInit = {}, fetchFn: typeof fetch = fetch): Promise<T> {
@@ -176,6 +177,8 @@ export const getLogs = (filters: { level?: 'info' | 'warn' | 'error'; limit?: nu
 	return request<LogEntry[]>(`/api/admin/logs${qs ? `?${qs}` : ''}`, {}, fetchFn);
 };
 
+export const getPipelineStats = (fetchFn?: typeof fetch) => request<PipelineStats>('/api/admin/pipeline-stats', {}, fetchFn);
+
 // Weather — config/cache lives on AdminSettings.weather (see updateSettings above); this
 // is just the geocoding lookup used to resolve a typed city name to lat/lon.
 export const geocodeLocation = (query: string, fetchFn?: typeof fetch) =>

frontend/src/lib/adminTypes.ts

@@ -198,6 +198,33 @@ export interface TelegramStatus {
 	phone: string | null;
 }
 
+export interface PipelineStats {
+	timestamp: string;
+	ollama: {
+		inFlight: { label: string; elapsedMs: number } | null;
+		sampleCount: number;
+		avgGenTokensPerSec: number | null;
+		avgPromptTokensPerSec: number | null;
+		avgGenerateDurationMs: number | null;
+	};
+	backlog: {
+		totalUnclusteredItems: number;
+		directEligibleItems: number;
+		awaitingEmbeddingItems: number;
+		clusters: {
+			total: number;
+			readyNow: number;
+			readyNowNeedingSynthesis: number;
+			onHold: number;
+			itemsOnHold: number;
+			earliestHoldRemainingMs: number | null;
+		};
+	};
+	estimatedMinutesToClear: number | null;
+	lastDirectCycle: { at: string; published: number } | null;
+	lastSynthesisCycle: { at: string; published: number } | null;
+}
+
 export interface LogEntry {
 	id: number;
 	timestamp: string;

frontend/src/lib/components/admin/LogsTab.svelte

@@ -1,10 +1,11 @@
 <script lang="ts">
 	import { onMount, onDestroy } from 'svelte';
-	import type { LogEntry } from '$lib/adminTypes';
+	import type { LogEntry, PipelineStats } from '$lib/adminTypes';
-	import { getLogs } from '$lib/adminApi';
+	import { getLogs, getPipelineStats } from '$lib/adminApi';
 
 	let { logs: initial }: { logs: LogEntry[] } = $props();
 	let logs = $state([...initial]);
+	let stats = $state<PipelineStats | null>(null);
 	let filter = $state<'all' | 'info' | 'warn' | 'error'>('all');
 	let autoRefresh = $state(true);
 	let loading = $state(false);
@@ -13,7 +14,12 @@
 	async function refresh() {
 		loading = true;
 		try {
-			logs = await getLogs(filter === 'all' ? {} : { level: filter });
+			const [nextLogs, nextStats] = await Promise.all([
+				getLogs(filter === 'all' ? {} : { level: filter }),
+				getPipelineStats().catch(() => stats) // stats endpoint failing shouldn't block the log list
+			]);
+			logs = nextLogs;
+			stats = nextStats;
 		} finally {
 			loading = false;
 		}
@@ -25,6 +31,7 @@
 	}
 
 	onMount(() => {
+		refresh();
 		timer = setInterval(() => {
 			if (autoRefresh) refresh();
 		}, 5000);
@@ -35,8 +42,98 @@
 		const d = new Date(iso);
 		return d.toLocaleTimeString([], { hour: '2-digit', minute: '2-digit', second: '2-digit' });
 	}
+
+	function formatAgo(iso: string | null): string {
+		if (!iso) return 'never';
+		const seconds = Math.round((Date.now() - new Date(iso).getTime()) / 1000);
+		if (seconds < 5) return 'just now';
+		if (seconds < 60) return `${seconds}s ago`;
+		const minutes = Math.round(seconds / 60);
+		if (minutes < 60) return `${minutes}m ago`;
+		return `${Math.round(minutes / 60)}h ago`;
+	}
+
+	function formatDuration(ms: number): string {
+		if (ms < 1000) return `${Math.round(ms)}ms`;
+		if (ms < 60_000) return `${(ms / 1000).toFixed(1)}s`;
+		return `${Math.floor(ms / 60_000)}m ${Math.round((ms % 60_000) / 1000)}s`;
+	}
+
+	function formatEta(minutes: number | null): string {
+		if (minutes === null) return 'collecting data…';
+		if (minutes === 0) return 'caught up';
+		if (minutes < 60) return `~${minutes}m`;
+		return `~${Math.floor(minutes / 60)}h ${minutes % 60}m`;
+	}
 </script>
 
+{#if stats}
+	<div class="dashboard">
+		<div class="tile">
+			<span class="tile-label">Backlog</span>
+			<span class="tile-value">{stats.backlog.totalUnclusteredItems}</span>
+			<span class="tile-sub">item{stats.backlog.totalUnclusteredItems === 1 ? '' : 's'} not yet published</span>
+		</div>
+		<div class="tile">
+			<span class="tile-label">Awaiting embedding</span>
+			<span class="tile-value">{stats.backlog.awaitingEmbeddingItems}</span>
+			<span class="tile-sub">need an embed() call before they can cluster</span>
+		</div>
+		<div class="tile">
+			<span class="tile-label">Held for publishing</span>
+			<span class="tile-value">{stats.backlog.clusters.itemsOnHold}</span>
+			<span class="tile-sub">
+				{stats.backlog.clusters.onHold} cluster{stats.backlog.clusters.onHold === 1 ? '' : 's'} on hold-before-publish
+				{#if stats.backlog.clusters.earliestHoldRemainingMs !== null}
+					· earliest clears in {formatDuration(stats.backlog.clusters.earliestHoldRemainingMs)}
+				{/if}
+			</span>
+		</div>
+		<div class="tile">
+			<span class="tile-label">Awaiting synthesis</span>
+			<span class="tile-value">{stats.backlog.clusters.readyNowNeedingSynthesis}</span>
+			<span class="tile-sub">multi-source cluster{stats.backlog.clusters.readyNowNeedingSynthesis === 1 ? '' : 's'} ready, needs an AI merge</span>
+		</div>
+		<div class="tile">
+			<span class="tile-label">Estimated to clear</span>
+			<span class="tile-value">{formatEta(stats.estimatedMinutesToClear)}</span>
+			<span class="tile-sub">
+				{#if stats.ollama.avgGenerateDurationMs !== null}
+					based on {stats.ollama.sampleCount} recent generate call{stats.ollama.sampleCount === 1 ? '' : 's'}, avg {formatDuration(stats.ollama.avgGenerateDurationMs)} each
+				{:else}
+					no completed generate calls yet
+				{/if}
+			</span>
+		</div>
+		<div class="tile">
+			<span class="tile-label">Ollama right now</span>
+			{#if stats.ollama.inFlight}
+				<span class="tile-value live">Synthesizing</span>
+				<span class="tile-sub" title={stats.ollama.inFlight.label}>{stats.ollama.inFlight.label} · {formatDuration(stats.ollama.inFlight.elapsedMs)} elapsed</span>
+			{:else}
+				<span class="tile-value">Idle</span>
+				<span class="tile-sub">
+					{#if stats.ollama.avgGenTokensPerSec !== null}
+						~{stats.ollama.avgGenTokensPerSec.toFixed(1)} gen tok/s, ~{stats.ollama.avgPromptTokensPerSec?.toFixed(1) ?? '?'} prompt tok/s
+					{:else}
+						no throughput data yet
+					{/if}
+				</span>
+			{/if}
+		</div>
+		<div class="tile">
+			<span class="tile-label">Last direct-publish tick</span>
+			<span class="tile-value">{stats.lastDirectCycle ? stats.lastDirectCycle.published : '—'}</span>
+			<span class="tile-sub">{formatAgo(stats.lastDirectCycle?.at ?? null)}</span>
+		</div>
+		<div class="tile">
+			<span class="tile-label">Last synthesis tick</span>
+			<span class="tile-value">{stats.lastSynthesisCycle ? stats.lastSynthesisCycle.published : '—'}</span>
+			<span class="tile-sub">{formatAgo(stats.lastSynthesisCycle?.at ?? null)}</span>
+		</div>
+	</div>
+{/if}
+
 <div class="toolbar">
 	<div class="filters">
 		<button class="pill" class:active={filter === 'all'} onclick={() => setFilter('all')}>All</button>
@@ -70,6 +167,41 @@
 </div>
 
 <style>
+	.dashboard {
+		display: grid;
+		grid-template-columns: repeat(auto-fill, minmax(180px, 1fr));
+		gap: 10px;
+		margin-bottom: 16px;
+	}
+	.tile {
+		display: flex;
+		flex-direction: column;
+		gap: 4px;
+		background: var(--surface-1);
+		border: 0.5px solid var(--border);
+		border-radius: 12px;
+		padding: 12px 14px;
+	}
+	.tile-label {
+		font-size: 11px;
+		text-transform: uppercase;
+		letter-spacing: 0.02em;
+		color: var(--text-muted);
+	}
+	.tile-value {
+		font-size: 20px;
+		font-weight: 600;
+		color: var(--text-primary);
+	}
+	.tile-value.live {
+		color: var(--text-accent);
+	}
+	.tile-sub {
+		font-size: 11px;
+		color: var(--text-secondary);
+		line-height: 1.4;
+	}
+
 	.toolbar {
 		display: flex;
 		align-items: center;