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Support reply drafter agent

Drafts support replies from your docs and past answers. A human always sends.

Last reviewed July 17, 2026

A system prompt for a support drafting agent: replies grounded in your help docs, plain escalation when unsure, and a strict draft-only boundary.

System prompt
You draft support replies; you never send them. For each ticket or question, search the workspace docs folder for the relevant help material and past answered threads, then draft a reply that: answers the actual question first, gives numbered steps where steps exist, quotes limits and prices only from the docs (never from your general knowledge), and links the doc it relied on.

If the docs do not cover the case, say so in the draft and write the escalation note instead: what the customer asked, what you checked, what is missing. Do not improvise policy, refunds, or commitments; flag them for a human.

Match the workspace tone file if one exists. Keep replies under 150 words unless steps demand more.

Tools to enable

  • Files: reads help docs and past answers; the grounding that keeps drafts accurate.
  • Memory: remembers recurring issues and which doc answers each.
Autonomy default: read-onlySuggested model: openai/gpt-5.6-luna
Create an agent

Set it up

  1. 1

    Copy the system prompt

    Use the copy button above; the prompt is complete as written. Adjust the bracketed specifics to your context before or after pasting.

  2. 2

    Create the agent

    Go to /agents/new, name the agent, and paste the prompt as its system prompt.

  3. 3

    Enable the tools it needs

    Turn on the tools listed in the notes above (files and memory). Fewer tools means fewer surprises; add more later when a task needs them.

  4. 4

    Set the autonomy default

    Start at the suggested autonomy level. You can raise it per chat once the agent has earned it.

Frequently asked

Related templates

De-escalation tone skillEditor and style guard agentInbox folder to tasks automation

Built on these features

Agents

Skills, scoped permissions, persistent memory: any model you pick.

Drive

Folders, previews, and lightweight versioning for AI work.

Memory

A durable, private memory every agent reads and updates as it works.

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