# Custom Dashboard

Published articles for Custom Dashboard.

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## 2026.6: Pick a card, any card

DevFeed: [2026.6: Pick a card, any card](<https://devfeed.tech/articles/2026-6-pick-a-card-any-card-16684.md>)

Original publisher: [Read original article](<https://www.home-assistant.io/blog/2026/06/03/release-20266/>)

Author: Franck Nijhof

Published: 2026-06-03T00:00:00Z

Content type: release

Language: en

Sources: [Home Assistant](<https://devfeed.tech/sources/home-assistant.md>)

Topics: [Home Assistant](<https://devfeed.tech/topics/home-assistant.md>), [dashboards](<https://devfeed.tech/topics/dashboards.md>), [Automation](<https://devfeed.tech/topics/automation.md>), [dialog](<https://devfeed.tech/topics/dialog.md>), [Matter](<https://devfeed.tech/topics/matter.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [apps](<https://devfeed.tech/tags/apps.md>), [automation](<https://devfeed.tech/tags/automation.md>), [core](<https://devfeed.tech/tags/core.md>), [custom-dashboard](<https://devfeed.tech/tags/custom-dashboard.md>), [dialog](<https://devfeed.tech/tags/dialog.md>), [features](<https://devfeed.tech/tags/features.md>), [integrations](<https://devfeed.tech/tags/integrations.md>), [matter](<https://devfeed.tech/tags/matter.md>), [release](<https://devfeed.tech/tags/release.md>), [release-notes](<https://devfeed.tech/tags/release-notes.md>)

### AI overview

Home Assistant 2026.6 introduces a new card picker that recommends dashboard cards based on the device or entity users want to display, with live previews using their data. The release also adds zone triggers and conditions, live condition-test indicators, target counts, step notes, new tile card features, improved smart-lock support, a friendlier Apps page, and additional community integrations.

### Source excerpt

Home Assistant 2026.6! 🎉 I'm going to put my hand up right away: ✋ I am not a dashboard person. Not because I don't like them; I love seeing what you all build. But designing a beautiful one is a kind of visual creativity I just don't have. That's a big part of why I love the built-in Home dashboard so much, it does the designing for me. But when I do build a custom dashboard, I usually stare at that "add a card" dialog for way too long, picking cards almost at random just to see if they look good with the data I have. So you can imagine my excitement for my personal favorite of this release: the new card picker. Instead of asking "which card type do I want?", it now asks "which thing in your home do you want to show?", and then suggests cards that actually make sense for it, with live previews using your own data. For someone like me, that's not just easier; it's genuinely inspiring. It nudges me towards combinations I would not have thought of on my own. 💡 This fits into a bigger direction I keep getting more excited about: Home Assistant getting better at starting from the thing you want to do, instead of asking you to first learn the building blocks. The same idea is what makes purpose-specific triggers and conditions in Home Assistant Labs feel so right, and this release brings them a big step closer to graduating out of Labs with brand new zone triggers and conditions. 📍 A close second favorite for me this release is everything happening around that in the automation editor: live test indicators on your conditions, target counts on every device, area, floor, and label, and proper notes you can attach to any step. Individually they are small quality-of-life touches; together, they make building automations feel a whole lot more transparent. ✨ And there is plenty more to love in this release: new tile card features, Z-Wave smart locks catching up with their Matter siblings, a friendlier Apps page, and another big batch of new integrations from our community. 🚀 E

## Building an agentic app with ClickHouse MCP and CopilotKit

DevFeed: [Building an agentic app with ClickHouse MCP and CopilotKit](<https://devfeed.tech/articles/building-an-agentic-app-with-clickhouse-mcp-and-copilotkit-5005.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/building-an-agentic-application-with-clickhouse-mcp-server-and-copilotkit>)

Author: Lionel Palacin

Published: 2025-06-12T00:00:00Z

Content type: article

Language: en

Sources: [ClickHouse Blog](<https://devfeed.tech/sources/clickhouse-blog.md>)

Topics: [App](<https://devfeed.tech/topics/app.md>), [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [MCP Server](<https://devfeed.tech/topics/mcp-server.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [Claude](<https://devfeed.tech/topics/claude.md>), [dashboards](<https://devfeed.tech/topics/dashboards.md>), [Next.js](<https://devfeed.tech/topics/next-js.md>), [React](<https://devfeed.tech/topics/react.md>), [anthropic](<https://devfeed.tech/topics/anthropic.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [apis](<https://devfeed.tech/tags/apis.md>), [app](<https://devfeed.tech/tags/app.md>), [build](<https://devfeed.tech/tags/build.md>), [building](<https://devfeed.tech/tags/building.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [custom-dashboard](<https://devfeed.tech/tags/custom-dashboard.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [large-language-model](<https://devfeed.tech/tags/large-language-model.md>), [large-language-models](<https://devfeed.tech/tags/large-language-models.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [llm](<https://devfeed.tech/tags/llm.md>), [llms](<https://devfeed.tech/tags/llms.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [next-js](<https://devfeed.tech/tags/next-js.md>), [react](<https://devfeed.tech/tags/react.md>), [server](<https://devfeed.tech/tags/server.md>)

### AI overview

A tutorial on building an agentic analytics application for the UK real estate market. It uses natural-language prompts, ClickHouse MCP Server, CopilotKit, React, and Next.js to create dynamic dashboards, with Claude Sonnet 3.7 providing reasoning, responses, and tool-use decisions.

### Source excerpt

Learn how to build an Agentic application that turns natural language prompts into dynamic analytics dashboard using ClickHouse MCP Server and CopilotKit.

## ESP Insights : Custom Dashboards

DevFeed: [ESP Insights : Custom Dashboards](<https://devfeed.tech/articles/esp-insights-custom-dashboards-13840.md>)

Original publisher: [Read original article](<https://developer.espressif.com/blog/esp-insights-custom-dashboards/>)

Author: John Lee

Published: 2022-08-16T00:00:00Z

Content type: article

Language: en

Sources: [Blog on Developer Portal](<https://devfeed.tech/sources/blog-on-developer-portal.md>)

Topics: [dashboards](<https://devfeed.tech/topics/dashboards.md>), [data](<https://devfeed.tech/topics/data.md>), [telemetry](<https://devfeed.tech/topics/telemetry.md>)

Tags: [blog](<https://devfeed.tech/tags/blog.md>), [custom-dashboard](<https://devfeed.tech/tags/custom-dashboard.md>), [esp-insights](<https://devfeed.tech/tags/esp-insights.md>), [esp32](<https://devfeed.tech/tags/esp32.md>), [espinsights](<https://devfeed.tech/tags/espinsights.md>), [iot](<https://devfeed.tech/tags/iot.md>), [logs](<https://devfeed.tech/tags/logs.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [observability](<https://devfeed.tech/tags/observability.md>), [range](<https://devfeed.tech/tags/range.md>), [search](<https://devfeed.tech/tags/search.md>), [time](<https://devfeed.tech/tags/time.md>)

### AI overview

This article describes custom dashboards in ESP Insights. Users can save multiple dashboard views with preserved search filters and date ranges for purposes such as diagnosing crashing or rebooting devices, analyzing online devices, and filtering devices by firmware project.

### Source excerpt

The core purpose of ESP Insights Dashboard has always been to help quickly identify a group of nodes which are showing similar behaviour patterns with the help of powerful search filters. Further it helps the user to reach to a particular node and help diagnose the reason behind the node showing a certain behaviour. The user can then check the event logs or point in time metrics and system variable values and correlate any diagnostic information at hand.