WorkerKitJoin the waitlistAI workers for Founder
AI workers for founders wearing every hat, from inbox to investor updates to the deal pipeline, without hiring for each one. Connect Gmail, HubSpot, and Notion, then let the firewall keep each job scoped to exactly the data it needs.
- Executive Daily Briefing Language model Delivers a prioritized morning brief of your day: meetings, urgent email, blockers, and team chatter.
- 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.
- 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 Ops Reporter Language model Compiles a weekly status report from your task boards, chat, and GitHub: shipped, moving, blocked.
- Competitor Ad Monitor Language model Reports each week which ads your competitors are running in Meta's public Ad Library: what is new, what they stopped running, and what message they are testing.
- Competitor Newsletter Tracker Language model Reads competitor newsletters and archive pages, and only briefs Grok Bot when a High product, pricing, or GTM signal appears.
- Grok Morning Brief Language model Hands Grok Bot a prioritized morning digest of meetings, urgent email, and team chatter — read-only, under 400 words.
- 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.
- Competitor Site Pulse Language model Watches named competitor URLs for product, pricing, and messaging changes, then reports what actually moved with citations.
- Changelog Radar Language model Watches competitor changelogs and release notes and only surfaces High customer-impacting releases.
- 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.
- 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.
- 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.
- 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.
- 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.
What is a Founder AI worker?
A Founder AI worker is an AI agent set up to run one founder job unattended, such as triaging your inbox, drafting an investor update, or watching the early sales pipeline. It typically touches your Gmail or Outlook, HubSpot records, Notion pages, and Google Calendar, and only the threads, deals, and pages you approve, with the firewall gating each read and write.
What these workers do
Triage the founder inbox
Sort your Gmail into investors, customers, and hiring, surface anything needing a reply today, and leave the noise for later.
Draft the monthly investor update
Pull metrics from a Notion page and HubSpot pipeline into a draft update, leaving the narrative and numbers for you to finalize.
Watch the early sales pipeline
Flag HubSpot deals that stalled or went quiet so a small team does not lose a warm lead while heads are down building.
Prep you for the day
Combine today's Google Calendar with the threads those people last sent, so back-to-back founder meetings never catch you cold.
How a Founder AI worker runs
What a founder worker connects to
A founder worker connects to the handful of tools you run the company from. Point it at Gmail or Outlook for mail, HubSpot for your pipeline, Notion for metrics and docs, and Google Calendar for your day. You approve what each worker can touch, so an investor-update worker reads your metrics page without opening customer contracts.
When it runs
- On a schedule for a morning triage or a monthly investor draft.
- On a trigger when a key deal changes or a flagged email lands.
- On demand when you need a quick read before a meeting.
What stays under your control
With a small team, the firewall is how you delegate safely. You can keep each worker read-only, redact sensitive numbers before they reach the model, and block specific contacts like investors or candidates. Per-app scope keeps a worker inside one job, the audit trail records everything it read, and because each worker is its own token you can revoke one without disturbing the others.
Founder questions, answered.
Can a founder AI worker handle several jobs at once?
It is better to run one worker per job, each with its own scope. That way an inbox worker and a pipeline worker stay independent, and you can revoke one without touching the other. Each worker is a separate token with its own firewall rules, so a small team gets focused help while keeping tight control over what every worker can reach.
Will it send investor emails on its own?
No, unless you grant send access a founder worker drafts the investor update and leaves it for you to review and send. Most founders keep it read-only so the numbers and narrative stay in their hands. You can block specific contacts, cap draft volume, and revoke access anytime, with every action recorded in the audit trail.
How does it keep sensitive company data safe?
A founder worker runs behind the firewall, which redacts sensitive figures before they reach the model and scopes each worker to only the apps and data it needs. DLP scanning flags anything risky, and you connect apps through OAuth with the power to revoke at any time. The audit trail shows every read and write, so nothing happens off the record.
Can it watch my pipeline without changing it?
Yes, a founder worker can stay read-only on HubSpot, flagging stalled or quiet deals without editing a single record. When you want it to log a note, you scope write access to specific fields while the rest stays locked. The firewall enforces that on every run, and you can tighten or revoke its pipeline access whenever you like.