> ## Documentation Index
> Fetch the complete documentation index at: https://docs.foggyhq.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Quick Start

> Your first AI SRE investigation in under 5 minutes.

## Step 1: Sign up

Create an account at [foggyhq.com](https://foggyhq.com). You'll be in the web interface immediately — no infrastructure to set up, nothing to install.

## Step 2: Connect your first data source

Navigate to **Connectors** in the sidebar and click **Add Connector**. Start with Grafana — it's the fastest to set up:

1. Select **Grafana**
2. Enter a name (e.g. "Production Grafana")
3. Enter your Grafana Host URL (e.g. `https://my-company.grafana.com`)
4. Optionally add an API token for authenticated access
5. Click **Save**

Foggy will immediately discover available dashboards and data sources.

<Tip>
  Foggy uses **read-only access**. It queries your tools but never modifies your infrastructure.
</Tip>

<img src="https://mintcdn.com/foggy/8tZsXWR7yHUB9nRp/images/grafana_connector.png?fit=max&auto=format&n=8tZsXWR7yHUB9nRp&q=85&s=972a6e2773d563fbf9eec5771c861c70" alt="Connector setup form" width="3420" height="1900" data-path="images/grafana_connector.png" />

## Step 3: Run your first investigation

Go to the chat and ask a question. The best prompts include:

* **Service or component name** — "checkout service", "API gateway", "kube-system namespace"
* **Time window** — "last 2 hours", "since yesterday 3pm", "this week"
* **Symptom or metric** — "5xx errors", "high latency", "OOMKills", "pod restarts"

Foggy streams its reasoning in real time — you'll see the chain-of-thought panel update as it queries your systems. Simple questions take 10–30 seconds. Complex multi-tool investigations take 1–3 minutes.

<img src="https://mintcdn.com/foggy/8tZsXWR7yHUB9nRp/images/1st_screen_investigation.png?fit=max&auto=format&n=8tZsXWR7yHUB9nRp&q=85&s=cc3a1a1b8587d558f13157d494322d1c" alt="First question in the chat" width="3420" height="1902" data-path="images/1st_screen_investigation.png" />

## Step 4: Explore the results

* **Chain-of-thought** — Expand to see every tool call, query, and reasoning step Foggy took.
* **Sources** — See which Grafana dashboards, Prometheus queries, or log searches were used as evidence.
* **Follow-up suggestions** — Click to dig deeper into any finding, or ask your own follow-up question. Foggy remembers context within the thread, so follow-ups get progressively more targeted.

<img src="https://mintcdn.com/foggy/8tZsXWR7yHUB9nRp/images/root_cause.png?fit=max&auto=format&n=8tZsXWR7yHUB9nRp&q=85&s=2fe734b91967d60b606e2a3d0db71ffe" alt="Investigation result with chain-of-thought expanded" width="3420" height="1900" data-path="images/root_cause.png" />

## Step 5: Go further

<CardGroup cols={2}>
  <Card title="Add more connectors" icon="plug" href="/integrations/grafana">
    Connect Kubernetes, Slack, and alert sources for cross-stack investigations.
  </Card>

  <Card title="Set up automations" icon="clock" href="/features/automations">
    Schedule recurring investigations — daily health checks, weekend summaries, or alert-triggered root cause analysis.
  </Card>

  <Card title="Add Knowledge Base entries" icon="book" href="/features/knowledge-base">
    Teach Foggy about your architecture, runbooks, and team ownership so it investigates with full context.
  </Card>

  <Card title="Connect Slack" icon="slack" href="/integrations/slack">
    @mention Foggy in any channel to investigate. Results are delivered as threaded replies.
  </Card>
</CardGroup>