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DevRel

How do you draft answers to community questions?

A community support AI Employee that reads new questions across your forum and Discord as they land, grounds a draft answer in your docs, routes it to the right channel, and waits for a human to send. It drafts; a person hits post.

YP×GitHub
When
As posts land
Systems
Community forumDocsGitHub
Mode
Draft reply and route. A human sends
Problem

Community questions land at all hours across a forum, a Discord, and the occasional GitHub thread, and the person who could answer well is asleep, in a meeting, or buried in the next release. The good answer usually exists. It's in the docs, in a closed issue, in a paragraph someone wrote six months ago. But finding it and phrasing it takes a context switch that DevRel can't make forty times a day. So questions sit. The ones that get a fast, grounded reply build trust; the ones that wait get answered by a guess in the thread, or not at all. The bottleneck isn't knowing the answer. It's the time between the question landing and a person having a draft in front of them worth sending.

What it does

As each question lands, the community support AI Employee reads it, searches your docs and GitHub read only for the grounding, drafts a reply that cites where the answer comes from, and routes it to the right owner's channel. A human reviews the draft and sends it. The AI Employee never posts publicly on its own.

How it works

See exactly how the work gets done.

Fires as posts land

A new question in the forum or Discord triggers a run, so the draft is waiting before the thread goes cold, not batched up for a daily sweep.

Grounds every draft in your docs

It reads your docs and GitHub read only and writes the answer from what's actually there, citing the source, so the reply reflects your product, not a guess.

Connects with permissions you set

It reads the forum, the docs, and GitHub with the scopes you grant. Credentials stay in memory, never written to disk, never exposed to the model.

Routes to the right owner

It tags the draft to the person or channel that owns that surface, so the reviewer is the one who can actually vouch for the answer.

Draft only, a human sends

It leaves the reply as a draft with its sources attached. A person reviews, edits if needed, and posts. The AI Employee never publishes to the community itself.

Guardrails

Runs in your environment

Every run is isolated inside your own infrastructure, reaching only the community sources, the docs, and the channel it routes to.

Reads sources read only

It reads the forum, docs, and GitHub to ground the answer. It never edits a doc or changes an issue.

Draft only, a human sends

It never posts to the forum or Discord itself. Every public reply is sent by a named person who reviewed it.

Grounded, never guessed

Each draft carries the docs it was built from, so the reviewer can check the answer against the source before it goes out.

You own the rules

Which sources it grounds in, how it routes, and the voice it drafts in are yours, versioned and changed on your terms, not in a vendor dashboard.

The outcome

The community question that used to wait for someone to surface, read the docs, and phrase a reply now arrives with a grounded draft already routed to its owner. The AI Employee does the reading and the drafting; a person does the sending.

As they land

Drafts ready before the thread goes cold

Grounded in docs

Every reply cites where the answer comes from

Draft only

The AI Employee drafts; a human sends

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How do you draft answers to community questions? | YP AI