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Ticket triage brief

What has this customer already told us? Every prior ticket, call, and email, summarized before you touch the case.

Best forEvery new ticket or escalation
PrimitivesAccountsInteractionsThemes

Side by side: token usage, with and without Paperbase

~81k tokens saved · 74% less work for the agent

Without Paperbase

~110k tokens

  1. Search the ticket system for prior tickets from the account.
  2. Skim the whole history for context.
  3. Search email and Slack for the same customer.
  4. Infer what has already been tried.
  5. Start solving without knowing it was tried twice last month.

With Paperbase

~29k tokens

  1. Pull the account entity and its interaction history.
  2. Ask Paperbase to summarize prior tickets, calls, and emails by theme.
  3. Surface prior fixes attempted and their outcomes.
  4. Produce the triage brief in one pass.

Agent prompt

You are preparing the triage brief for {{ticket_or_account}}.

Using Paperbase:

1. Pull the account and its full interaction history - tickets, calls, emails, Slack.
2. Summarize prior issues by theme.
3. Note every fix already attempted and its outcome.
4. Flag context the current agent needs before touching the case.

Output:

- What this customer has already told us, in one page.
- Prior fixes tried, and whether they worked.
- What to try next, and what to avoid re-trying.

Placeholders in {double_braces} are inputs the agent will ask for at runtime. Give the prompt to any agent connected to Paperbase, and the rest grounds in your own memory graph.

Want a deeper recipe for your team?

Send us the prompt, the source systems, and the workflow. We will draft the recipe and sign you into the sandbox to run it.