A hygiene agent earns trust by how little it does: fix what the standards name, derive only what is already in the record, leave the rest empty and say so out loud. Hermes reasons through those boundaries on an open model while calling HubSpot and Slack as real tools. What you get back is a cleaner record and no invented one.
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 page form
elena vargas-morales
EmailELENA.VARGAS@grupo-nortech.com.mx
Notefirstname: elena | lastname: VARGAS-morales | email: ELENA.VARGAS@grupo-nortech.com.mx | company: grupo nortech s.a. de c.v. | phone: 5215512349876 | jobtitle: Sr. Procurement Mgr. | country: mexico | lifecyclestage: (empty) | hs_analytics_source: Pricing page form | notes: (empty)
Using this template drops you into a guided setup. It asks exactly this, nothing else:
Connect HubSpot
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.
Data standards
Your rules for a contact record in your own words: which fields are required, how names, phone numbers, countries, and company names should be formatted, and how lifecycle stages are set. The agent fixes only what you describe here and touches nothing else.
Dedupe policy
What makes two records the same person for you, for example same email domain plus same full name, or a plus-address of an existing email, and which record wins when they clash, the older one or the one with the deal.
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.
A missing company or lifecycle stage is meant to stay missing and get named in the Slack line. Holding that restraint against an obvious-looking guess is the whole game.
The standards come from what you wrote rather than from the model's instincts, which makes an open-model agent a sensible fit for repetitive, well-specified work.
The formatting follows your written standards rather than the model deciding what looks right, so the task is obeying instructions rather than inventing them. The part worth checking yourself is derivation: run the staged messy form submission and confirm the country and company domain it works out match what you would have done by hand.
Free to start. Guided setup, a test run against staged conversations, and it's live.