DEDUPED Hot AI repos, turned into use cases Get 5 a day

How to triage the customer inbox with drafted replies with AI Employees

A Customer Satisfaction Employee sweeps your inbox and drafts replies, hardest cases first.

Credentials. The employee reads your inbox through your signed-in browser, so only sign in to the mailbox you intend it to read.

Remote script. The npx command runs a package downloaded from npm, so check it before running it on your PC.

Who it is forA small business owner who gets a steady flow of customer email and needs urgent problems and churn risks surfaced first.

The problemImportant customer messages get buried, and churn risks go unnoticed until a customer has left.

The outcomeDrafted replies ordered hardest first, plus churn flags with the evidence behind each one.

What you need first

  • An AI agent you are logged in to, such as Claude Code
  • A browser signed in to the accounts the employee should read
  • A folder on your PC that is not inside OneDrive, Dropbox, Google Drive or iCloud
  • Node.js, for the npx command and the kit self tests

Steps

  1. Run npx ai-employees hire customer-satisfaction-employee --to <folder> (inferred slug, based on the employee name in the README). (inferred, check the README)
  2. Open your agent in that folder and say "Install the Customer Satisfaction Employee from this folder."
  3. Review the first replies it drafts and the churn flags it raises.
  4. Send replies yourself after you read each draft.

Prompt for your agent

Using the ai-employees repo, install the Customer Satisfaction Employee into <target folder> and confirm it sweeps the inbox on schedule. Expected output: replies drafted hardest first and churn flags with evidence. Verify that no reply is sent until you approve it.

Caveat. Replies are drafted for you, and the README says every send is held for your click, so review each draft before it goes to a customer.

Share: X LinkedIn Hacker News Email Copy link

Disclaimer

Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page