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LatchLoop

Build Unthread agents for support evidence and product follow-through

Group real support conversations into answer gaps and reproducible product work without losing customer context.

Example outcome

Create a knowledge maintenance list tied to real support demand.

Agent examples

Workflow guides for Unthread

2 guides

Find where support lacks a reliable answer

Unthread support conversations can show which questions recur, which answers depend on one experienced teammate, and which cases reopen because the current guidance does not solve the problem. An agent can review a defined queue and produce a knowledge maintenance list tied to the conversations that created demand.

Set the queue, date range, product area, customer-data rules, and threshold for grouping cases. The agent should preserve links, dates, tags, status, and the wording that supports each theme. Similar language does not always mean the same root problem, so uncertain clusters should remain separate.

Carry verified problems into Linear

Unthread supplies customer reports, troubleshooting history, impact, and support ownership. Linear supplies existing issue history, engineering scope, and delivery ownership. A combined agent can check for duplicates and draft a product issue with a reproducible problem statement.

Customer messages need redaction and access control. Issue creation, priority, and customer communication remain review decisions.

Combine plugins

Build richer agents by pairing Unthread with complementary context

Outcome pages can describe combinations: one plugin for source context, another for project tracking, and another for delivery or notifications. Use Unthread as one layer in a larger agent workflow when the outcome needs more than one connected app.

Available plugin capabilities

unthread
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