Social Listening Agent with Hermes
Sentiment and priority are judgement calls dressed up as fields. Somebody has to read a 63-upvote thread with four unanswered tickets in it and decide that this is the one that interrupts a Thursday. Hermes reasons over your response policy on an open model foundation and does that sorting before anything reaches your team.
Watch it work before it's live
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.
Hourly sweep, Tuesday 09:00
The 09:00 tick fires and the last sweep ran an hour ago. Since then there are four new hits: a r/webdev thread where u/marek_dvorak recommends us in passing, two neutral pricing questions in r/SaaS, and a post in r/smallbusiness from u/naledi_mokoena asking whether anyone has migrated over from the competitor and how long it took.
Set up in minutes
Using this template drops you into a guided setup. It asks exactly this, nothing else:
Connect Reddit
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.
Connect Airtable
One sign-in. The agent acts through your account, scoped to what this template uses.
Brand terms
Every term worth watching, in your words: your product and company names, the misspellings people actually type, your domain, your founders' names, and the competitors you want compared against. The agent searches exactly these and treats everything else as noise.
Response policy
What earns an immediate Slack ping versus a quiet Airtable log, for example an unanswered complaint or someone asking which tool to buy pings, a neutral mention of your category does not. Say it the way you would tell a new teammate.
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.
Why Hermes for this agent
Reasoning behind each label
Every row carries a sentiment, a priority and the reason for it, and an ambiguous post is meant to be logged low priority with an explanation rather than guessed at. That is a reasoning task with a written rubric.
Open models, real tool calls
You get an open-model agent that still searches Reddit, writes to your base and posts to your channel as authenticated tools rather than as suggestions.
Before you fork
What if it gets the sentiment wrong?
A wrong label is an Airtable row you can correct, since the agent never replies on Reddit and only pings Slack for high priority items. Read its judgement on the staged sweeps first, particularly the name collision one and the reporter asking for comment before Monday, and tighten your response policy from what you see.
Run it with a different agent
Put Social Listening Agent to work on Hermes
Free to start. Guided setup, a test run against staged conversations, and it's live.