Decision model kits
Classify, score, and route work with decision model kits. Return structured results your AI agent can use for its next step.
- Email Category Classifier Decision model Sorts a window of inbox mail into your own categories and returns one typed row per message, so an agent can read the shape of an inbox in one call.
- Important Unreplied Gmail Finder Decision model Find important Gmail messages that may still need your reply
- Sheets Lead Qualification Decision model Returns lead-fit classifications from spreadsheet rows against your ideal customer profile.
- Internal Request Router Decision model Labels incoming requests for IT, HR or Finance and escalates requests needing private handling.
- Meeting Prep Needed Screen Decision model Reads the week ahead and says, meeting by meeting, whether the owner needs to prepare and what kind of preparation it is.
- Critical Email Finder Decision model Reads a window of inbox mail and returns only the messages where something breaks, money is lost, a person is blocked or a deadline passes if the owner does not see them today.
- Web Research Relevance Filter Decision model Finds and reads web pages on your research topic and returns relevant sources with typed judgments.
- Release Note Classifier Decision model Returns release-note sections and merge judgments for pull requests so an agent can assemble a changelog.
- Meeting Entity Relevance Finder Decision model Finds matching meeting that was actually about a customer, project, vendor, person or topic you name, including the internal ones the target was never invited to.
- Brand Mention Urgency Radar Decision model Finds public brand mentions that merit a company response or investigation.
- Email Jev Classifier Decision model Sorts a window of inbox mail into your own categories and returns one typed row per message, so an agent can read the shape of an inbox in one call.
- Critical Meeting Finder Decision model Reads the week ahead and returns only the meetings where revenue, a decision, a customer or an external commitment suffers if the owner skips them or walks in unprepared.
- Email Reply Needed Screen Decision model Reads a window of mail and says, message by message, whether the owner owes a reply and who owes the next move.
- Sheets Jev Classifier Decision model Classifies spreadsheet rows into your own categories and returns typed results for the calling agent.
- Calendar Jev Classifier Decision model Sorts the week ahead into your own meeting categories and returns one typed row per event, so an agent can read the shape of a calendar in one call.
- GitHub Issue Triage Decision model Reads a repository's open issues and decides what each one is, how badly it hurts, and whether it needs a maintainer.
- Email Entity Relevance Finder Decision model Finds matching message that is actually about a customer, project, vendor, person or topic you name, internal and external, and names the false positives a keyword search returns silently.
- Document Content Relevance Decision model Finds documents whose readable content addresses your chosen topic or business requirement.
- Sheets Feedback Router Decision model Returns a recommended handling category for each customer-feedback row in a spreadsheet.
- Inbox Reply Labeler Decision model Labels requests needing a reply, urgent requests and bulk mail so your inbox is ready to work.
- Inbox Triage Decision model Labels every unread email follow-up, billing or other with a confidence score, flagging the ones that need you.
Structured decisions. A clear next step.
A decision worker reads items from the apps you connect, evaluates defined questions, and returns typed answers such as a category, score, or selected reference. Its rules can route items or perform permitted actions. Your agent can use the results to decide what to read, write, or do next.
- Screen messages that may need a reply
- Qualify leads against your criteria
- Find relevant pages for a research task
Uncertain judgments can be flagged for review. Structured answers describe a decision; they do not guarantee it is correct.
How decision models and agents work together