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Browse ready-made workers powered by decision models and language models. Choose a job, connect your apps, and run it with your rules.

• 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.
• Grok Morning Brief Language model Hands Grok Bot a prioritized morning digest of meetings, urgent email, and team chatter — read-only, under 400 words.
• 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.
• Regulatory Pulse Language model Tracks SEC and industry rule drops for your beat, scrapes primary texts when needed, and hands Grok Bot a sourced compliance pulse.
• 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.
• Daily Competitor Promotion and Price Monitor Language model Monitor competitor stores daily and flag new promotions, price drops, and meaningful offer changes.
• 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.
• Competitor Site Pulse Language model Watches named competitor URLs for product, pricing, and messaging changes, then reports what actually moved with citations.
• Intro Debt Language model Finds warm-intro requests you still owe and leaves double-opt-in or connection email drafts — never sends.
• Changelog Radar Language model Watches competitor changelogs and release notes and only surfaces High customer-impacting releases.
• Decision Queue Language model Ranks Slack or Teams threads where you are the blocker and boosts anything before a same-day meeting.
• Hiring Signal Monitor Language model Watches competitor and peer hiring signals — career pages, job posts, and "we're hiring" news — and briefs Grok Bot on what roles are heating up.
• Earnings Call Tracker Language model Tracks upcoming and fresh earnings calls for your watchlist, pulls key takeaways from IR pages and news, and hands Grok Bot a cold briefing.
• 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.
• Influencer Client Email to Slack Monitor Language model Monitor one client's Gmail label and post attention-needed influencer marketing emails to their Slack channel.
• Grok Inbox Triage Language model Triages overnight email into buckets, saves draft replies only, and never sends — built for Grok Bot operators.
• Document Content Relevance Decision model Finds documents whose readable content addresses your chosen topic or business requirement.
• Subscription Cleaner Language model Find unwanted email subscriptions and prepare safe unsubscribe drafts for your review.
• Launch and Feature Watch Language model Scans news and launches for your competitor watchlist and only briefs when a High launch or feature drop is evidenced.
• Morning Signal Diet Language model Builds a curated external morning briefing from your topic diet using news search and cited answers — not your inbox or calendar.
• Daily Competitor Blog Tracker Language model Monitor competitor blogs daily and alert you only to important changes from the past 24 hours.
• Funding and Deal Radar Language model Scans overnight funding, M&A, and strategic partnership news for your sector watchlist and ranks what Grok Bot should surface.
• Post-Meeting Closer Language model Reads today's meeting notes, extracts owners and asks, then leaves follow-up email drafts — never posts or books.
• 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.
• Weekly Influencer Marketing Report Language model Posts a weekly influencer marketing report to Slack from Influencer Hero: results against the week before, the creators and posts that drove them, pipeline and payouts due.
• Inbox Triage Decision model Labels every unread email follow-up, billing or other with a confidence score, flagging the ones that need you.
• Project Brain Daily Update Language model Every evening, pulls recent Krisp meetings and files the ones about your project into the project brain, once each.
• Idea Grill Language model Interrogates a product or business idea with the hard questions before anyone builds it, checks the market, and writes a one-page verdict.
• Spec to Linear Issues Language model Turns a spec you paste into the run message into Linear issues, one per deliverable, written to your team's standard and never duplicated.
• Competitor Pricing and Changelog Watch Language model Reads your competitors' pricing pages and changelogs every weekday morning and reports only what changed: a new price, a new plan, a dropped limit, a shipped feature.
• Customer Complaint Miner Language model Mines Reddit and public review pages for the ten complaints people make most about a product or category, each with verbatim quotes and links.
• Daily Funnel Drop Watch Language model Reads yesterday's funnel in Google Analytics every morning, compares each step with the week before, and says which step dropped past your threshold and where the drop came from.
• Weekly Cancellation Reasons Digest Language model Pulls every Stripe subscription cancelled in the last seven days into one Monday digest: why customers left, in their own words, grouped by reason, with the monthly revenue each group took with it.
• Cross-Team Dependency Review Language model Explains which project dependencies need a named owner or decision.
• Leadership Decision Evidence Language model Extracts recorded decisions, open choices and conflicting commitments from a working channel.
• Company Operating Review Workflow Language model Combines project dependencies and leadership decisions into a short operating review.
• SDR Account Qualification Brief Language model Builds a sourced account brief for a sales development handoff.
• Buyer Commitment Review Language model Separates buyer commitments from seller proposals in a sales conversation.
• Sales Handoff Workflow Language model Turns account evidence and buyer correspondence into an SDR-to-AE handoff and discovery agenda.
• Pipeline Data Consistency Review Language model Explains pipeline fields and deal records that undermine a forecast review.
• Forecast Assumption Review Language model Checks forecast spreadsheet assumptions and reconciles the arithmetic shown in a bounded range.
• Pipeline Forecast Review Workflow Language model Reconciles a forecast sheet with CRM pipeline evidence and explains assumptions that need review.
• Customer Outcome Evidence Language model Reviews documented customer goals, milestones and success measures for a CSM.
• Adoption Meeting Review Language model Explains customer adoption blockers and commitments from recent meeting notes.
• Customer Success Plan Workflow Language model Combines account outcomes and customer meeting evidence into a reviewable success plan.
• Recurring Support Problem Review Language model Explains repeated support symptoms and drafts an evidence packet for escalation.
• Support Runbook Gap Review Language model Checks whether current support guidance addresses a specific reported problem.
• Support Resolution Planning Workflow Language model Combines support cases and runbooks into an escalation packet and proposed resolution guidance.
• Campaign Measurement Review Language model Explains campaign performance changes with comparable metrics and explicit data limitations.
• Campaign Brief Evidence Review Language model Checks campaign objectives, target audience and success measures in the approved brief.
• Campaign Learning Workflow Language model Combines campaign results and the campaign brief into a testable learning plan.
• Editorial Claim Review Language model Checks a content draft for unsupported factual claims and unclear audience promises.
• Audience Question Evidence Language model Summarizes recurring audience questions from a chosen content-feedback channel.
• Evidence-Based Content Brief Workflow Language model Combines draft claims and audience questions into a sourced editorial brief for review.