It would be great to know somewhere which fields are being injected into the context window when running it through each category. For example, are the mail headers included? Are the recipients, sender and subject details referenceable?
I’d like to create quite specific rules to pick out spam/junk/phishing emails, but I don’t know if I can instruct it by saying things like:
Apply this label if the email falls under one or more of these cases:
Phishing or impersonation
Requests for passwords, MFA codes, recovery phrases, or one-time codes
Requests to “verify”, “confirm”, “unlock”, or “restore” an account via a link EXCEPT where the sender domain matches the service that is being requested.
Sender claims to be a bank, government agency, delivery service, or platform but:
The sender domain does not match the claimed organization
The email uses generic greetings like “Dear customer” when the sender should know the recipient’s name
Urgent security warnings combined with a call to action
Coercion or pressure tactics
Artificial urgency: “act now”, “last chance”, “account will be closed today”
Threats of loss, penalties, suspension, or legal action without proper context
Emotional manipulation: fear, panic, shame, or guilt as the primary motivator
Spam or affiliate marketing behavior
Affiliate-style language: “make money fast”, “passive income”, “guaranteed returns”
Get-rich-quick schemes, crypto pumps, trading bots, or financial promises
Cold outreach selling SEO, marketing, lead generation, or web services
Obvious mass-sent emails unrelated to any prior interaction
Abusive or inappropriate content
Sexual content, explicit imagery, or sexually suggestive messaging
Harassment, insults, aggressive language, or intimidation
Scam-style romance or relationship manipulation
Other cases may include a mismatch of intent in the subject vs email body.
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In Review
💡 Feature Request
21 days ago
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In Review
💡 Feature Request
21 days ago
Get notified by email when there are changes.