---
title: "We taught ClickStack to read your logs like a detective novel"
description: "HyperDX introduced AI Summarize, a feature designed to translate raw logs, traces, and log patterns into narrative summaries directly within its observability interface. Instead of relying on backend large language models, the tool runs entirely client-side using OpenTelemetry-aware data extraction combined with hand-written phrase pools. The generation logic inspects Kubernetes and OpenTelemetry attributes—such as service names, endpoints, exception details, and query durations—to tailor tone across detective noir, Shakespearean drama, and nature documentary themes. Because processing occurs inside the browser tab without external API calls, the system avoids third-party latency, token expenses, model hallucinations, and data privacy risks. Users can access summaries across logs, spans, and pattern drawers or re-enable the interface toggle via URL parameter through April 2026."
---

# We taught ClickStack to read your logs like a detective novel

[Clickhouse](https://yomu.fyi/company/clickhouse) · The ClickStack Team · Apr 1, 2026

**Type:** Announcement

## Summary

HyperDX introduced AI Summarize, a feature designed to translate raw logs, traces, and log patterns into narrative summaries directly within its observability interface. Instead of relying on backend large language models, the tool runs entirely client-side using OpenTelemetry-aware data extraction combined with hand-written phrase pools. The generation logic inspects Kubernetes and OpenTelemetry attributes—such as service names, endpoints, exception details, and query durations—to tailor tone across detective noir, Shakespearean drama, and nature documentary themes. Because processing occurs inside the browser tab without external API calls, the system avoids third-party latency, token expenses, model hallucinations, and data privacy risks. Users can access summaries across logs, spans, and pattern drawers or re-enable the interface toggle via URL parameter through April 2026.

## Context

HyperDX identified a gap between raw telemetry data—such as machine-generated logs, nanosecond trace spans, and repetitive log patterns—and human understanding during on-call incidents.

## Approach / What changed

HyperDX introduced AI Summarize, an in-browser feature that parses OpenTelemetry and Kubernetes attributes to generate narrative summaries using client-side phrase pools across styles like detective noir, Shakespearean drama, and nature documentaries without calling external large language models.

## Takeaways

- AI Summarize operates entirely in the browser using hand-written phrase pools and OpenTelemetry attribute extraction, avoiding external LLM API calls and token costs.
- The narrative themes dynamically adapt based on event context, applying Detective Noir to errors, Shakespearean Drama to performance issues, and Nature Documentary to healthy info logs.
- Telemetry data never leaves the browser tab during narrative generation, eliminating third-party privacy risks and preventing hallucinations by relying strictly on event attributes.

**Tags:** [Developer Experience](https://yomu.fyi/topic/developer-experience), [Monitoring](https://yomu.fyi/topic/monitoring), [Observability](https://yomu.fyi/topic/observability), [Privacy](https://yomu.fyi/topic/privacy)

- Source: [Clickhouse](https://clickhouse.com/blog/clickstack-read-logs-detective-novel)
- Source URL: https://clickhouse.com/blog/clickstack-read-logs-detective-novel
- Ingested by Yomu: 2026-08-28T01:23:27.603Z

[Read original post](https://clickhouse.com/blog/clickstack-read-logs-detective-novel)