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Language model kits

Research, write, and complete tasks across your apps with language model kits. Give each worker its own instructions and access.

• 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.
• 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.
• 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.
• 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.
• 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.
• Search Demand Evidence Review Language model Explains query and page demand shifts without confusing average position with a fixed rank.
• Landing Page Outcome Review Language model Reviews whether selected landing pages produce the intended site outcomes.
• Search Conversion Opportunity Workflow Language model Connects search demand and landing-page outcomes to propose specific content improvements.
• Partner Opportunity Evidence Language model Builds the account and opportunity context for a joint partner plan.
• Partner Commitment Review Language model Extracts partner commitments and unresolved handoffs from business correspondence.
• Partner Account Planning Workflow Language model Combines shared opportunity context and partner commitments into a joint account plan draft.
• Community Question Review Language model Finds unanswered substantive questions in a selected community channel.
• Community Answer Source Review Language model Finds supported documentation for a supplied community question.
• Community Answer Planning Workflow Language model Combines open community questions and documentation into answer drafts and expert handoffs.
• Customer Problem Evidence Review Language model Extracts customer problems and contrary evidence from product discovery meetings.
• Roadmap Commitment Review Language model Explains current product commitments and dependencies relevant to a proposed opportunity.
• Product Opportunity Brief Workflow Language model Connects customer problem evidence with roadmap commitments to draft a product opportunity brief.
• User Research Observation Review Language model Turns study notes into traceable observations, interpretations and open research questions.
• Usability Issue Evidence Review Language model Checks documented usability issues for reproducible steps and testable acceptance criteria.
• Design Validation Planning Workflow Language model Combines user-study evidence and usability issues into a focused validation plan.
• Release Change Evidence Review Language model Explains the actual changes and unresolved checks for a named release candidate.
• Release Acceptance Review Language model Checks release scope against recorded acceptance and QA evidence.
• Release Readiness Workflow Language model Combines code changes and acceptance evidence into a reviewable release readiness packet.
• Incident Timeline Evidence Language model Reconstructs a cited incident timeline from a selected response channel.
• Incident Action Follow-Through Language model Reviews corrective actions for ownership, verifiable completion and prevention value.
• Incident Learning Workflow Language model Combines incident timelines and corrective actions into a blameless learning review.