> For the complete documentation index, see [llms.txt](https://docs.screendesk.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.screendesk.io/debug-with-ai.md).

# AI & Intelligence

- [AI overview](https://docs.screendesk.io/debug-with-ai/overview.md): Understand how Screendesk AI turns customer evidence and support knowledge into a clearer next step.
- [AI settings](https://docs.screendesk.io/debug-with-ai/ai-settings.md): Control workspace AI processing, automatic report analysis, AI labels, and your Gemini API key.
- [Report intelligence](https://docs.screendesk.io/debug-with-ai/ai-summary.md): Use AI summaries, issue findings, and reproduction steps to understand recordings and reports faster.
- [AI transcripts](https://docs.screendesk.io/debug-with-ai/ai-transcripts.md): Search spoken content, jump to timestamps, and copy or export transcripts from eligible recordings.
- [Data sources](https://docs.screendesk.io/debug-with-ai/data-sources.md): Connect trusted documentation, files, text snippets, and resolved support conversations to Screendesk AI.
- [AI Resolution](https://docs.screendesk.io/debug-with-ai/ai-resolution.md): Investigate recording-linked Zendesk tickets and give agents evidence-backed private notes to review.
- [AI in your helpdesk](https://docs.screendesk.io/debug-with-ai/ai-in-your-helpdesk.md): See how recording requests, report intelligence, knowledge sources, and AI Resolution fit your support workflow.
- [AI Suggest (legacy)](https://docs.screendesk.io/debug-with-ai/ai-suggest.md): Find the current guides for report intelligence, data sources, and Zendesk AI Resolution.
- [MCP](https://docs.screendesk.io/debug-with-ai/mcp.md): Connect AI assistants to your workspace to inspect recordings, captures, logs, and network data.
- [CLI](https://docs.screendesk.io/debug-with-ai/cli.md): Inspect Screendesk evidence from the terminal, scripts, CI, and coding agents.


---

# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

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