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What you can doAnswer from your docs

Answer common questions from your docs

Your documentation already has the answer, but people ask in Slack anyway. This assistant answers product and setup questions from your own documentation, right where they were asked, and says which page it used. When the docs don’t cover a question, it says so and opens a ticket, so your team only sees the questions that really need a person.

For a full walk-through with screenshots, see Website product chat (for customers) or Internal help desk (for staff).

What you need

  • Your documentation, reachable in one of two ways: your help center’s search connected as an API, or the pages themselves added to almyty’s memory.
  • Optionally, your ticket system’s API, so unanswered questions become tickets.
  • A Slack or Discord workspace where you can add an app.

How to build it

  1. Give it your docs. Either open APIs, click Connect an API and connect your help center’s search, or, for a small set of answers, open Memory, click Add memory, paste one answer per memory, and under Advanced set How long to keep it to Shared by all agents.
  2. Create the assistant. Open Agents, click Create agent and switch to Autonomous. In Instructions, write: “Answer only from the docs, and always name the page you used. If the docs don’t cover it, say so and open a ticket.”
  3. Add the tools. Under Tools and APIs, pick the docs search and your ticket system’s “create ticket” tool. If you used memory, turn on Remember between conversations and set Whose memory to Shared by all agents, so it reads what you added. Save.
  4. Add a rule it can’t argue with. On its Constraints tab, add “Never invent a feature or a limit that isn’t in the docs.”
  5. Put it in Slack or Discord. On its Channels tab, click Add channel, pick Slack or Discord, add the app’s keys and publish. People mention it and it answers in the thread.

Ideas

  • Point it at internal runbooks instead of public docs, for an operations help desk.
  • Turn on verification (Configure verification on its Overview tab), so a second model checks that the cited page really supports the answer.
  • Look at which questions ended in a ticket: they tell you which docs to write next.
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