AI marketing agent

An AI marketing agent that ships the work, not just advice

Most AI marketing tools hand you a to-do list. Tin Computer connects to your GitHub, analytics, ads, and email, then does the work — SEO pages, ad campaigns, outreach, pricing tests — and texts you only when it needs a decision.

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An AI marketing agent is software that plans and executes marketing work on its own — research, content, ads, outreach, experiments — instead of just recommending it. Tin Computer is an AI marketing agent for projects and small SaaS: it reads your live site and data, decides what will move growth, and ships the changes as reviewable pull requests.

The last wave of AI marketing tools generated copy and dashboards but left every actual change for you to implement. The agent model closes that gap: it has the same context a marketer would (your repo, GA4, Search Console, Stripe, ad accounts) and the same hands (it opens PRs, sets up campaigns, sends outreach), so the recommendation and the execution are the same step.

How it works

  1. 01

    Connect your stack

    Link GitHub, Google Analytics, Search Console, Stripe, your ad accounts, and email. The agent reads real state — traffic, funnels, revenue, rankings — not guesses.

  2. 02

    It picks the work

    It runs a diagnosis against your goals and the growth playbook, then prioritizes the tasks most likely to move the metric that matters this week.

  3. 03

    It ships

    SEO pages and fixes land as pull requests. Ad campaigns, outreach sequences, and experiments go live in the connected tools. You review and merge.

  4. 04

    It texts you for decisions

    Spend changes, risky edits, and judgment calls come to you as a short message. Everything else just gets done.

Isn't an autonomous agent going to break things?

It works the way a careful contractor would. Code changes arrive as pull requests you review before they merge — nothing ships to production behind your back. Spend and anything irreversible needs your explicit yes. You set the plan (10 to unlimited tasks a week), and you can pause or roll back any change. Autonomy means it does the boring shipping work without nagging you, not that it has the keys to everything.

Proof it ships

14× MRR in 57 days

Claw Messenger was flat — $40 MRR, four paying customers, most of them the founder testing his own product. We turned on Tin Computer on March 25 and walked away. Eight weeks later: $560 MRR, 66 paying customers, 125 commits shipped. The AI launched a referral program the same day a user asked if there was one, and a reseller tier the day after another customer said they wanted to resell.

Monthly recurring revenue

BeforeAfter

What an AI marketing agent actually does

Tin Computer covers the full growth surface rather than one channel. In a given week it might publish a comparison page, fix a Core Web Vitals issue flagged in Search Console, launch a Meta ad test, draft a cold-email sequence, and run a pricing experiment — then report what moved.

  • Organic SEO: keyword research, blog and comparison pages, programmatic pages, technical and on-page fixes.
  • Paid acquisition: Meta and Google campaign setup, creative testing, budget and bid adjustments.
  • Outbound: lead lists, cold email and LinkedIn sequences, deliverability and domain warmup.
  • Funnel and CRO: landing pages, A/B tests, pricing-page tests, onboarding and activation fixes.
  • Analytics: GA4 event instrumentation, attribution, and KPI dashboards so the loop is measurable.

Why one agent beats five point tools

Point tools each solve a slice and leave the integration to you: one writes content, another tests ads, a third scrapes leads, and none of them know what the others did. A single agent with shared context can connect cause and effect — it knows the page it shipped is the one whose rankings it's now watching, and it reallocates effort accordingly. That is the difference between a stack of generators and a growth function.

Frequently asked questions

What is an AI marketing agent?
An AI marketing agent is software that autonomously plans and executes marketing work — content, SEO, ads, outreach, experiments — rather than only suggesting it. It connects to your tools, decides what to do, and ships the changes, escalating to a human for decisions.
How is an AI marketing agent different from AI marketing tools?
Most AI marketing tools generate drafts or dashboards and leave you to implement. An agent has both the context and the ability to act, so it carries a task from idea to shipped change — a published page, a live campaign, a sent sequence — on its own.
Does it replace my marketing team?
It replaces the backlog of shipping work that never gets done, not strategy or taste. Teams use it to execute far more per week; solo founders use it as the marketer they can't yet hire. You keep the decisions.
What tools does Tin Computer connect to?
GitHub, Google Analytics, Search Console, Google Ads, Meta Ads, Stripe, Polar, PostHog, Sentry, Gmail, Vercel, Render, Fal.ai, and Twilio, among others. It reads real data from these and acts in them.
How much does it cost?
Plans run from $49/month (10 tasks/week) to $499/month (unlimited tasks). A task is roughly one shipped unit of work, about 20 minutes of a marketer's time. You can start with a free scan, no card.
How do I keep control of what it ships?
Code changes come as pull requests you review and merge. Spend and irreversible actions require your approval. You set the weekly task cadence and can pause or roll back anything.
Does it actually work, or is it hype?
It ships measurable work. One project, Claw Messenger, grew MRR 14× and paying customers 13× over 57 days while the agent shipped 125 commits — site redesign, a referral program, and a reseller tier built the day customers asked for them.
How long until I see results?
Fixes and pages ship within days. SEO and content compound over weeks to months, like any organic channel; paid and CRO tests read faster. The free scan shows what it would work on before you commit.
What's the difference between an AI marketing agent and marketing automation?
Marketing automation runs pre-built rules and workflows you configure. An AI marketing agent decides what work to do and does it, adapting to your data each week instead of following a fixed flowchart.

Point it at your site. Watch it ship.

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