diff --git a/internal/ai/context/builder.go b/internal/ai/context/builder.go
index 26b1987..5944486 100644
--- a/internal/ai/context/builder.go
+++ b/internal/ai/context/builder.go
@@ -478,16 +478,17 @@ func (b *Builder) computeGuestMetricSamples(guestID string) map[string][]MetricP
 		return samples
 	}
 
-	// Get 7 days of data - enough to see weekly patterns and determine normalcy
-	allMetrics := b.metricsHistory.GetAllGuestMetrics(guestID, b.trendWindow7d)
+	// Get 24 hours of data (matches in-memory retention)
+	// This lets the LLM see recent patterns and changes
+	allMetrics := b.metricsHistory.GetAllGuestMetrics(guestID, b.trendWindow24h)
 
 	for metric, points := range allMetrics {
 		if len(points) < 3 {
 			continue
 		}
-		// Downsample to ~24 points (roughly 3 per day over 7 days)
-		// This lets the LLM see: daily patterns, weekly cycles, and recent changes
-		sampled := DownsampleMetrics(points, 24)
+		// Downsample to ~12 points (roughly every 2 hours over 24h)
+		// This gives the LLM a compact view of recent trends
+		sampled := DownsampleMetrics(points, 12)
 		if len(sampled) >= 3 {
 			samples[metric] = sampled
 		}
diff --git a/internal/ai/context/formatter.go b/internal/ai/context/formatter.go
index ccd9f19..18d189e 100644
--- a/internal/ai/context/formatter.go
+++ b/internal/ai/context/formatter.go
@@ -64,7 +64,7 @@ func FormatResourceContext(ctx ResourceContext) string {
 	// Raw metric samples - let the LLM interpret patterns directly
 	// This is more reliable than pre-computed trends for edge cases
 	if len(ctx.MetricSamples) > 0 {
-		sb.WriteString("**History (7d sampled, oldest→newest)**: ")
+		sb.WriteString("**History (24h sampled, oldest→newest)**: ")
 		var sampleLines []string
 		for metric, points := range ctx.MetricSamples {
 			if len(points) >= 3 {