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

# Quickstart - AI Coding Tools

> Pick a use case, prompt your coding agent, ship.

export const Button = ({href, children, variant = "secondary", external = false}) => {
  const sharedStyles = "inline-flex items-center gap-1.5 px-3 py-1.5 text-sm rounded-xl";
  const isPrimary = variant === "primary";
  const primaryStyles = "bg-primary-dark text-white border-0";
  const secondaryStyles = "text-gray-700 dark:text-gray-300 border border-gray-200 dark:border-white/[0.07] bg-background-light dark:bg-background-dark hover:bg-gray-600/5 dark:hover:bg-gray-200/5";
  const className = `${sharedStyles} ${isPrimary ? primaryStyles : secondaryStyles}`;
  return <a href={href} {...external && ({
    target: "_blank",
    rel: "noopener noreferrer"
  })} className={className}>
      {children}
      {external && <Icon icon="external-link" size={12} color={isPrimary ? "white" : undefined} />}
    </a>;
};

export const SKILL_BASE = "https://docs.corti.ai/.well-known/agent-skills";

export const buildPrompt = (lead, slug) => `${lead}

1. Fetch your build skill:
   ${SKILL_BASE}/${slug}/SKILL.md

2. Credentials are in the Corti Console:
   https://console.corti.app → Developer Quickstart`;

export const claude = p => `claude-cli://open?q=${encodeURIComponent(p)}`;
export const cursor = p => `cursor://anysphere.cursor-deeplink/prompt?text=${encodeURIComponent(p)}`;
export const codex = p => `codex://new?prompt=${encodeURIComponent(p)}`;
export const lovable = p => `https://lovable.dev/dashboard?autosubmit=true#prompt=${encodeURIComponent(p)}`;

export const dictationPrompt = buildPrompt("Build a medical dictation web app with the Corti SDK.", "corti-dictation");
export const ambientPrompt = buildPrompt("Build an ambient scribe with the Corti SDK.", "corti-ambient-scribe");
export const codingPrompt = buildPrompt("Build a medical coding app with the Corti SDK.", "corti-medical-coding");
export const chatPrompt = buildPrompt("Build a clinical chat assistant with the Corti Agentic Framework.", "corti-agentic-assistant");

export const OpenIn = ({prompt}) => <div style={{
  display: "flex",
  flexWrap: "wrap",
  alignItems: "center",
  gap: "0.5rem",
  marginTop: "1rem"
}}>
    <span style={{
  fontSize: "0.875rem",
  color: "var(--gray-11, #6b7280)",
  marginRight: "0.25rem"
}}>Open in</span>
    <Button href={claude(prompt)}>
      <Icon icon="terminal" size={14} />Claude Code
    </Button>
    <Button href={cursor(prompt)}>
      <Icon icon="mouse-pointer-2" size={14} />Cursor
    </Button>
    <Button href={codex(prompt)}>
      <Icon icon="code" size={14} />Codex
    </Button>
    <Button href={lovable(prompt)}>
      <Icon icon="heart" size={14} />Lovable
    </Button>
  </div>;

Give your coding agent the context it needs to start building on Corti. Pick a use case, copy the prompt into Claude Code, Cursor, Codex, or Lovable, then paste credentials from the [Corti Console](https://console.corti.app).

<Tip>
  Each prompt points your agent at a self-contained [Corti skill](https://docs.corti.ai/.well-known/agent-skills/index.json) — a single Markdown file with everything the agent needs to scaffold, wire auth, and run a working demo end-to-end.
</Tip>

<Steps titleSize="h3">
  <Step title="Pick a use case and prompt your coding agent">
    <Tabs>
      <Tab title="Dictation app">
        ```text Prompt theme={null}
        Build a medical dictation web app with the Corti SDK.

        1. Fetch your build skill:
           https://docs.corti.ai/.well-known/agent-skills/corti-dictation/SKILL.md

        2. Credentials are in the Corti Console:
           https://console.corti.app → Developer Quickstart
        ```

        <OpenIn prompt={dictationPrompt} />
      </Tab>

      <Tab title="Ambient scribe">
        ```text Prompt theme={null}
        Build an ambient scribe with the Corti SDK.

        1. Fetch your build skill:
           https://docs.corti.ai/.well-known/agent-skills/corti-ambient-scribe/SKILL.md

        2. Credentials are in the Corti Console:
           https://console.corti.app → Developer Quickstart
        ```

        <OpenIn prompt={ambientPrompt} />
      </Tab>

      <Tab title="Medical coding app">
        ```text Prompt theme={null}
        Build a medical coding app with the Corti SDK.

        1. Fetch your build skill:
           https://docs.corti.ai/.well-known/agent-skills/corti-medical-coding/SKILL.md

        2. Credentials are in the Corti Console:
           https://console.corti.app → Developer Quickstart
        ```

        <OpenIn prompt={codingPrompt} />
      </Tab>

      <Tab title="Clinical chat assistant">
        ```text Prompt theme={null}
        Build a clinical chat assistant with the Corti Agentic Framework.

        1. Fetch your build skill:
           https://docs.corti.ai/.well-known/agent-skills/corti-agentic-assistant/SKILL.md

        2. Credentials are in the Corti Console:
           https://console.corti.app → Developer Quickstart
        ```

        <OpenIn prompt={chatPrompt} />
      </Tab>
    </Tabs>

    <Note>
      Deeplinks open Claude Code, Cursor, or Codex with the prompt pre-filled. If a deeplink doesn't launch (the app isn't installed, or your browser blocks custom schemes), copy the prompt above and paste it into your tool directly.
    </Note>
  </Step>

  <Step title="Copy credentials into your app">
    Your agent will ask you to add Corti credentials. Grab them from the Corti Console's Developer Quickstart — it has a one-click "Copy all as .env variables" action.

    <Card title="Open the Developer Quickstart in the Corti Console" icon="key" href="https://console.corti.app/developer-quickstart" arrow="true">
      Sign in, then under Default client → Copy all as .env variables.
    </Card>
  </Step>
</Steps>

## Other languages or custom integrations

The four skills above cover the most common use cases against the official JavaScript SDK (`@corti/sdk`) and the Corti Agentic Framework. For Python, Go, Ruby, or anything that doesn't fit the four skills, point your agent at the machine-readable docs and let it build from there.

<CardGroup cols={2}>
  <Card title="llms.txt" href="https://docs.corti.ai/llms.txt" icon="file-text" arrow="true">
    Concise API reference optimized for LLM context windows. Best for quick lookups and targeted code generation.
  </Card>

  <Card title="llms-full.txt" href="https://docs.corti.ai/llms-full.txt" icon="file-code" arrow="true">
    Complete documentation — guides, examples, and full specifications. Use when you need the whole picture.
  </Card>
</CardGroup>

<Tip>
  Reference these URLs directly in your prompt (e.g. *"Using [https://docs.corti.ai/llms-full.txt](https://docs.corti.ai/llms-full.txt), generate a Python client that …"*), or add them to your project's `CLAUDE.md` / `AGENTS.md` / Cursor Docs source so every session has the context.
</Tip>

## Next steps

<CardGroup cols={2}>
  <Card title="API Reference" href="/api-reference/welcome" icon="square-terminal">
    Browse the full Corti API with interactive examples.
  </Card>

  <Card title="JavaScript SDK" href="/sdk/js/overview" icon="code">
    SDK reference — what the skills build on under the hood.
  </Card>

  <Card title="Agentic Framework" href="/agentic/overview" icon="puzzle">
    Multi-expert orchestration, MCP servers, and the agent runtime.
  </Card>

  <Card title="Example code" href="https://github.com/corticph/corti-examples" icon="github">
    Reference implementations for transcription, ambient, coding, and agents.
  </Card>
</CardGroup>

<Note>
  AI-generated code should always be reviewed and tested before use in production. Human oversight ensures correctness, security, and compliance with healthcare regulations.
</Note>