The everyday problem
Support backlogs are mostly noise, and every department downstream pays a different tax for it. Genuine P1s get buried under duplicate reports and tickets that belong to a different team. Engineering re-classifies the same ticket because they don’t trust support’s tags. Product spends Monday mornings hand-counting “what are the top three things customers are complaining about this week?” Marketing has no reliable way to surface a customer quote candidate for a case study. The information is right there in the ticket stream — it just isn’t classified once and shaped for everyone.
What you’d type into the New Agent form
The customer success lead clicks New Agent in the dashboard, picks the Customer Support template (or starts from scratch), and fills in:
Agent name · Ticket triager
Description · Classifies, routes, dedupes, and themes incoming support tickets.
Persona · You are a senior support engineer at [Company]. You read incoming tickets, classify them by the taxonomy below, assign severity, find duplicates against open issues, and draft a response in the team's tone. You never auto-route — you give the support engineer a strong starting point.
Context to paste
- The classification taxonomy (bug / feature / question / duplicate)
- The severity rubric
- The ownership map (which team owns which surface)
- The customer-quote heuristic for marketing
Skills to pick
ticket-classificationduplicate-detectionresponse-drafting
MCPs to wire
- Zendesk (or Intercom / Front) — to read incoming tickets
- Linear — to dedupe against open issues
A few minutes of paste-and-pick. No code.
What your team sees when they use it
Same agent, four consumer flows:
- Support pastes a ticket and gets back: classification, severity, suggested owner team, dedupe match, and a draft response. The engineer accepts or corrects.
- Engineering runs the agent on a batch of morning’s bug tickets to triage in bulk. P1s rise to the top, dupes auto-link to open issues.
- Product pastes a week’s worth of tickets touching their surface; the agent returns themed pain points with sentiment and ticket counts. Monday planning starts with data, not vibes.
- Marketing pastes opt-in resolved tickets; the agent returns candidate quotes — actual customer language, with consent flags surfaced.
Four departments. One agent definition.
How it composes
This agent inherits the org defaults (company background, the support workflow, the brand voice). On top, it overlays CS-specific skills: classification, dedup, response drafting. When the org workflow tightens — a new ownership map, a new severity rubric — every consumer of this agent picks up the change automatically.
How it evolves
Product launches a new surface — say, billing-portal v2. The CS lead extends the taxonomy in the agent’s edit view, adds the new ownership entry, re-publishes. v2 rolls out on next sync. Every team’s next invocation picks up the new taxonomy — support sees the surface in routing options, engineering recognizes the new bug bucket, the PM finds it in pain-point themes, marketing’s quote pool segments by it. One change, one re-publish, four teams updated — none of whom had to be told.