WorkerKitJoin the waitlistAI workers for Reporting & Digests
AI workers for reporting compile numbers and highlights from your tools into a recurring digest. WorkerKit's firewall sets which sources and fields feed each report.
- Daily GitHub Repo Briefing Language model Reads the last 24 hours of GitHub activity and reports what actually changed: what shipped, what is blocked, what is at risk, and who needs a decision today.
- Portfolio Authority Watch Language model Tracks domain rank and backlink totals for every site in your portfolio each week and flags the ones that moved.
- Daily Store Briefing Language model Reads your Shopify store every morning and writes one short briefing: yesterday's sales against the day before, the orders that need a person, and what is running out of stock.
- Weekly Calendar Cleanup Planner Language model A weekly calendar hygiene pass: scores the coming week for fragmentation and lost focus time, protects lunch and deep work, and writes a before-and-after cleanup plan.
- Store Growth Reporter Language model Writes a weekly Shopify growth report: revenue against last week, where the orders came from, repeat rate, and which discounts are running.
- Authority & Links Report Language model Writes a weekly report on your site's authority, backlinks, search traffic and where you stand against competitors.
- Slack Team Update Brief Language model Turn relevant Slack activity into a focused team update on progress, blockers, risks, dependencies, changes, and attention needed.
- Release Note Classifier Decision model Returns release-note sections and merge judgments for pull requests so an agent can assemble a changelog.
- 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.
- 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.
- 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.
- Competitor Newsletter Watch Language model Reads your competitors' newsletters, archives them after ingesting, watches their websites for changes, and reports what moved against your positioning.
- Project Brain Weekly Synthesis Language model Drafts the Friday synthesis of the project brain: what was learned, what moved, what's stale.
- Project Brain Search Language model Answers the owner's questions from the project brain, citing the notes it used.
- Project Brain Brief Language model Reads the last 48 hours of commits in the project brain repo (72 on Mondays) and delivers one compact morning brief.
What is a Reporting & Digests AI worker?
A reporting AI worker is an AI agent set up to run the reporting and digests job unattended, pulling metrics and highlights from several tools and assembling them into a recurring summary on a schedule. It typically touches HubSpot and Salesforce deals, Jira and Linear issues, Google Search Console metrics, and Slack activity, reading only the sources and fields you have approved.
What these workers do
Send a weekly HubSpot deal digest
Pulls deal movement and pipeline totals from HubSpot each week and posts a clean summary to Slack so the team sees progress at a glance.
Compile a sprint report from Jira
Gathers closed, open, and blocked issue counts from Jira at sprint end and assembles a short status report for the team lead.
Digest Search Console performance
Reads Google Search Console for the week's impressions and clicks and packages a trend digest for the content and marketing teams.
Roundup of channel activity
Summarizes the week's key threads and decisions across chosen Slack channels into one digest so leaders stay informed without scrolling.
How a Reporting & Digests AI worker runs
What it connects to
When it runs
What stays under your control
Reporting & Digests questions, answered.
How is a reporting AI worker different from summarization?
Reporting compiles metrics from many sources on a schedule, summarization condenses one long item on demand. A reporting worker produces a recurring digest of numbers across HubSpot, Jira, and Slack. A summarization worker instead recaps a single thread or document. One is a periodic rollup, the other a one-off condense.
Can a reporting worker pull from several tools at once?
Yes, a reporting worker reads across the tools you connect and merges them into one digest. It can combine HubSpot deals, Jira issues, and Search Console metrics into a single report. WorkerKit scopes exactly which projects and fields each source exposes, so the digest is built only from data you approved.
Will a reporting worker expose sensitive numbers?
Only the fields you approve, and you can redact anything it should not surface. If a report should show deal counts but not amounts, WorkerKit redacts the amounts before the reporting worker reads them. The digest reflects the safe view, and every field it accessed is recorded for review.
Can a reporting worker send the digest automatically?
Yes, it can post the finished report to Slack or email on schedule if you grant that write. A reporting worker assembles the digest and delivers it to the destination you choose each period. WorkerKit logs every run, so you always have a record of what was reported and where it went.