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Support desk (Atlas)
A support agent that answers from your knowledge base and cites the file it answered from. When the answer is not recorded, it says so and escalates instead of guessing.
What it does
Atlas searches facts/ and refs/ before it
searches anything else. Training data is a last resort. Every answer
leads with the answer and names the path it came from, so a wrong
answer is a file you can fix rather than a model you have to argue
with.
The voice is deliberate: dry, lowercase, no corporate warmth. It says “I don’t have that recorded” without flinching, and logs the unanswered question so the gap in the knowledge base becomes visible instead of staying anecdotal.
Helpdesk or support?
Both triage inbound questions, and they differ in where the
knowledge lives. Helpdesk is the
reference product: a small Slack-facing triage loop with a
classification skill, built to show the whole product shape at once.
Atlas is the knowledge-base end — a bigger facts/
tree, a citation habit, and an embeddable web widget for a product
site. Pick Helpdesk to learn the shape; pick Atlas when the answers
already live in documents.
A sample exchange
user does the export endpoint support pagination?
agent yes. facts/api.md:41 — `GET /v1/export?cursor=` returns
200 rows per page and a `next` cursor. no offset parameter.
user and the rate limit on it?
agent i don't have that recorded. logging it and escalating —
facts/ has nothing on export rate limits.What it ships
| File | What it is |
|---|---|
PRODUCT.md | the manifest — name, brand, tagline, env hints |
PERSONA.md | who the agent is: dry, cites paths, refuses to guess |
CLAUDE.md | operating rules, in a marked region so your own text is untouched |
facts/ | kb.md and a README.md explaining the one-file-per-topic shape — replace both with your own |
Who it is for
A team whose answers already exist in writing — docs, runbooks, a changelog — and who would rather the agent quote them than paraphrase them. If your answers do not exist in writing yet, this product will tell you so, loudly, on the first question.