The work is reading and judging, with no writes anywhere except one Slack message. A page arrives, the agent decides whether your rules care about it, and if they do it produces three sentences and names who should read them. Hermes is a fair fit when general reasoning is the only faculty in use, and it runs hosted with Confluence and Slack connected as tools.
Run a staged conversation — no account needed. The agent handles it for real while a simulated world answers its tool calls; nothing touches real accounts, and nothing is actually sent.
Pricing and discount policy 2027
Rewritten rather than edited, version 14. The volume discount ladder now starts at 250 seats instead of 500, a 12 percent nonprofit rate is added, and the line letting reps approve up to 20 percent is replaced by a 10 percent cap with the regional director required above that. Labels are pricing, policy and sales. The editor comment reads final after Tuesday's call.
Using this template drops you into a guided setup. It asks exactly this, nothing else:
Connect Confluence
One sign-in. The agent acts through your account, scoped to what this template uses.
Connect Slack
One sign-in. The agent acts through your account, scoped to what this template uses.
Digest rules
Which spaces and labels you care about, what counts as a minor edit not worth a message, who reads the channel, and which kinds of page matter enough to be called out by name.
Runs on Hermes
Preselected for this page — connect your Hermes account during setup, or switch to NoClick's built-in models with one click.
Watch it handle a test run
A staged conversation against a simulated world — then it’s live.
There is no API dance to get right and no state to hold between calls. The output is only ever as good as the reading, which makes this a fair test of a general reasoning model.
The worst outcome is a message about a page that did not need one, or a quiet skip you catch later. Nothing inside Confluence changes either way.
More here than on most templates, because the entire decision is reading comprehension. A weaker model tends to report more, treating any substantial looking edit as significant, and its bullets stay closer to the page's own wording. A stronger one is better at saying who has to act and by when. Put the same page through two models before settling on one.
Free to start. Guided setup, a test run against staged conversations, and it's live.