Koltrix
AI & email
Classifying inbound mail by intent: a starter taxonomy
A ready-to-use set of intent categories for a SaaS inbox, with definitions, example emails and routing for each, plus rules for keeping the list short.
4 min read
AI & emailThe limits of AI email sorting: edge cases to expect
Six situations where AI email sorting predictably gets it wrong, why each one fools the model, and the small habits and rules that cover the gaps.
5 min read
AI & emailCombining rules with AI classification
Rules are predictable, AI handles fuzzy intent. A decision table for which inbox jobs belong to each, how to layer them, and what to do when they disagree.
4 min read
- AI & email
Correcting misclassified email: building a feedback loop
A playbook for fixing AI email sorting mistakes: move the message, spot the pattern, add rules only when they are exact, and keep a weekly misfile log.
4 min read
AI & emailMeasuring AI triage accuracy in your own inbox
A worked example of testing AI email sorting on your own mail: sample 200 messages, label them by hand, build a confusion matrix and weigh costly errors.
5 min read
AI & emailPrimary, Other, Cold pitches, Newsletters, Updates: why five
Why Koltrix sorts mail into five fixed categories instead of dozens, what belongs in each one, how teams work through them, and where custom labels still fit.
5 min read
AI & emailHow AI email classification works, explained without hype
What an AI email classifier actually looks at, how rules and models split the work, why it gets things wrong, and how to judge one on your own inbox.
5 min read