Ships the campaign and reads the numbers it made.
Most marketing dies of latency: the experiment that took a fortnight to launch, the losing ad that ran all weekend, the case study that never got written. An AI marketer closes that gap by working every day — reading yesterday's numbers before the office opens, shipping the variant by lunch, and reporting what it cost and what it moved. Real spend stays behind a Budget and a human checkmark.
The week between having the idea and seeing the number, and the Monday meeting held to find out what happened.
- Overnight performance readEvery day, 05:50
- Creative rotationEvery weekday, 07:30
- Content shipEvery weekday, 08:30
- Weekly digestFridays, 17:00
- review-yesterdays-spend
- write-launch-post
- build-landing-variant
- draft-case-study
- refresh-organic-page
What Alex does between waking the servers and going quiet.
Every hour below is one Routine you can open, read, and change — including the one where it stopped and asked a human.
- 05:50
Reads yesterday before anyone can spin it
Pulls cost, clicks, and conversions across Google, Meta, Microsoft, and Reddit into one view, and marks the two ad sets that have spent past their target with nothing to show.
Paid Marketing - 07:30
Stops the bleeding, inside the Budget
Pauses the two losers outright — a decrease never waits for anybody — and queues the matching increase on the creative that is working for a human to tick in the Approvals inbox.
Paid Marketing · Budgets - 08:30
Ships the day's words
Writes and schedules the posts from this week's actual narrative — the release that went out, the customer who said the good line — not from a content calendar written in January.
Notes - 10:00
Ships the page, not a ticket about the page
Builds the landing-page variant against the headline that is losing, opens the pull request in the site Repository, and links the experiment that will judge it.
Repositories - 11:00
Turns a call into a case study
Takes Tuesday's customer conversation from Resources, drafts the study around the number the customer actually cited, and sends the quote back for approval before anything is published.
Resources - 13:20
Asks to spend more
Stopped for youCost per lead holds only if the launch campaign goes from $4,000 to $6,500. It writes the case, attaches the evidence, and stops. Every spend increase queues an Approval a Member ticks — by default, no matter how small.
Approvals - 15:45
Rescues the pages that slipped
Finds the ten organic pages that lost position this month, rewrites what is stale, fixes what broke, and resubmits — then records what it changed so next month's report can attribute it.
Explore - 18:20
Writes the weekly, daily
Posts what moved, what it cost, what it learned, and what it will try tomorrow. The Friday digest assembles itself out of these instead of being written on Friday.
Workspace
- $1,180
- Spend pulled off losing creative
- 4
- Assets shipped, not drafted
- 1
- Approval that needed you
- Launch spend needs to go from $4,000 to $6,500 to hold cost per lead. The increase is queued for you.
- The case study quotes a customer by name. Send it for their sign-off, or anonymise?
Answering one performs no side effect. The employee writes the question and the options itself, and an ordinary Member can answer it.
Capable in the ways that matter, bounded in the ways that count.
Paid, with hard guardrails
Campaign strategy, creative review, and experiments run autonomously. Money does not: pauses and decreases go through, and every spend increase above the Connection’s threshold — zero by default, so all of them — queues an Approval a human ticks.
Experiments that finish
A variant is shipped, measured, and called. Losing creative is paused the morning after it loses, not at the next weekly, because the review is a Routine rather than a meeting.
Writing with sources
Drop the call recordings, the PDFs, and the competitor teardowns into Resources once. Everything it writes cites them, and you can follow a claim in a blog post back to the sentence it came from.
Attribution it did not invent
Charts over the databases you already connect, saved and pinned, so the weekly number is the same number your analyst would pull — not a figure the model remembered.
Four documents, and then you stop being the trigger.
Everything that makes this a marketer rather than any other role is plain, editable text. Change how it thinks by editing a document, the way you would rewrite a job description.
How it judges
- Voice, priorities, and the lines Alex will not cross alone.
What it repeats
- review-yesterdays-spend
- write-launch-post
- build-landing-variant
- draft-case-study
- refresh-organic-page
When it works
- Overnight performance read — Every day, 05:50
- Creative rotation — Every weekday, 07:30
- Content ship — Every weekday, 08:30
- Weekly digest — Fridays, 17:00
What it can reach
- Google Ads, Meta, Microsoft, and Reddit Connections
- The site Repository
- The brand and positioning notebook in Notes
- Customer calls and transcripts in Resources
It works your records, not a copy of them.
Everything Alex does happens inside the products your team already uses — the same rows, the same threads, the same queues. There is no export step and no second system of record.
See every productThe ones people actually ask.
- Will it spend money without asking?
- No. Turning spend down or off is ungated, because that direction cannot cost you anything. Every increase is checked against the approval threshold on the ad Connection, and that threshold is zero unless an owner deliberately raises it — so out of the box, every single increase waits in the Approvals inbox.
- Does it publish straight to the website?
- It opens a pull request in the site Repository. Whether that merges automatically or waits for a review is a setting on the Repository, and most teams leave it waiting for the first month.
- How does it avoid writing generic content?
- It writes from Resources and Notes — your calls, your positioning, your changelog — and its Soul carries the voice rules. Content with nothing specific to say is a symptom of nothing specific being granted.
Every other role, working the same way.
Build an autonomous company today.
Install Genosyn, choose an AI Model, write the first role, and put it on a schedule. Tomorrow morning, one job runs without you. The company grows from there.