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

# Case Studies

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  <div className="mb-2 px-1 text-xs font-semibold uppercase tracking-wide text-gray-500 dark:text-gray-400">Need help?</div>

  <div className="flex flex-wrap gap-2">
    <a className="inline-flex items-center gap-2 rounded-md border border-gray-200 bg-white px-3 py-1.5 font-medium text-gray-700 no-underline shadow-sm hover:border-gray-300 hover:bg-gray-50 dark:border-gray-800 dark:bg-gray-950/60 dark:text-gray-200 dark:hover:bg-gray-900" href="https://discord.gg/sDE2HhGTg4" target="_blank" rel="noreferrer">
      <Icon icon="discord" iconType="brands" size={14} />

      <span>Ask in Discord</span>
    </a>

    <a className="inline-flex items-center gap-2 rounded-md border border-gray-200 bg-white px-3 py-1.5 font-medium text-gray-700 no-underline shadow-sm hover:border-gray-300 hover:bg-gray-50 dark:border-gray-800 dark:bg-gray-950/60 dark:text-gray-200 dark:hover:bg-gray-900" href="https://github.com/Prompthon-IO/agent-systems-handbook/issues/new/choose" target="_blank" rel="noreferrer">
      <Icon icon="github" iconType="brands" size={14} />

      <span>Open a GitHub issue</span>
    </a>

    <a className="inline-flex items-center gap-2 rounded-md border border-gray-200 bg-white px-3 py-1.5 font-medium text-gray-700 no-underline shadow-sm hover:border-gray-300 hover:bg-gray-50 dark:border-gray-800 dark:bg-gray-950/60 dark:text-gray-200 dark:hover:bg-gray-900" href="https://github.com/Prompthon-IO/agent-systems-handbook/blob/main/SUPPORT.md" target="_blank" rel="noreferrer">
      <Icon icon="life-ring" size={14} />

      <span>Support guide</span>
    </a>
  </div>
</div>

This lane turns abstract ideas into bounded, story-led examples that connect
architecture choices to recognizable agent products and workflows.

## What belongs here

* Deep research agents
* Coding agents
* Customer support agents
* Research assistants
* Travel and concierge agents
* Document-analysis agents
* Media and content workflows

## Editorial intent

Each case study should start with a user problem, then move through system
shape, tool choices, memory strategy, evaluation questions, and likely failure
modes.

## Current pages

* [Deep Research Agents](/case-studies/deep-research-agents): a bounded look at
  planning, evidence collection, synthesis, and citation discipline.
* [Coding Agents](/case-studies/coding-agents): a repository-first case study
  for scoped edits, verification, approvals, and human review.
* [Customer Support Agents](/case-studies/customer-support-agents): a local-first case
  study for email triage and policy-grounded reply drafting.

## Example starters

* [Deep Research Agent Starter](/case-studies/examples/deep-research-agent-starter):
  a small project scaffold for planning, evidence collection, and cited output.
* [Customer Support Email Agent Starter](/case-studies/examples/customer-support-email-agent-starter):
  a small local-document workflow for triaging customer emails and drafting
  policy-grounded replies.
* [Customer Email Assist Starter](/case-studies/examples/customer-email-assist-starter):
  a mailbox-integrated dashboard starter for Gmail sync, SQLite issue queues,
  deterministic review flows, and policy-grounded replies.