The world's first self-improving AI employee.
Built to give your marketing team
the leverage it can't hire for.
Mavrick is a Slack-native AI employee for marketing teams — ecommerce, DTC, B2B, and creator-commerce. We publish what other AI vendors hide: the architecture, the system prompt, the live learning log, the contractual privacy charter. Customers we ask to trust us with their revenue can verify exactly how the work gets done.
The work that actually moves revenue
is the work that keeps getting dropped.
Brian MacDonald spent the last decade as a marketing operator and advisor across dozens of companies — ecommerce, DTC, B2B, and creator-commerce. The vantage point made one pattern unmistakable: every company is short-handed in marketing, and the work that gets dropped is the work that actually moves revenue.
Not the strategy. Not the brand. The operational work — pausing underperforming campaigns at 11pm, reconciling Stripe revenue against what Meta reports, drafting the cold outreach sequence the team meant to launch three weeks ago, shipping the weekly briefing the CEO is asking about for the second time.
That work compounds when it ships and corrodes the operation when it doesn't. Every founder Brian advised was doing the work of three people and shipping the work of one. The work that fell off the list was almost always the operational layer — because operational work doesn't feel urgent until it's already costing growth.
Mavrick was built to take that work.
A hire, not a tool.
Mavrick installs into a customer's Slack workspace in under 30 seconds and operates as a dedicated marketing team member. It connects to a customer's ad accounts, CRM, attribution stack, and growth tools, then ships the work the team doesn't have time for — pausing campaigns, scaling winners, drafting outreach, reconciling attribution, shipping briefings.
There is no new dashboard to learn. No query language. No implementation specialist. The team that's already in Slack is the team that uses Mavrick. Every action that touches customer data passes through an architectural approval gate the operator cannot disable.
Three things separate Mavrick from every other AI marketing product:
It’s an employee, not a tool.
Customers @mention Mavrick the way they would @mention a teammate, and Mavrick ships finished work — not advice, not a deck, not a draft.
It improves itself in production.
When Mavrick encounters a request it can’t fully satisfy, it logs the gap, tries again with a different approach, and — if the gap requires a new capability — engineers it, regression-tests it, and ships it. Every learning is published.
It’s priced as infrastructure, not software.
$50 a month for the entry tier. No per-seat charge. No long-term contract. Roughly 60 to 100 missions a month for a typical marketing team.
The AI agent industry is defined
by claims customers cannot verify.
Vendors describe self-improving systems without learning logs to inspect. They claim privacy postures without contractual diffs. They reference architecture without documentation. The buyer is asked to extend trust on the basis of marketing language alone — for products that increasingly hold credentials to the systems running their businesses.
That posture isn't sustainable for the category. AI agents are taking actions in customer environments — pausing campaigns, sending emails, modifying records, transferring budget. The customer's right to inspect what the agent does, what it learns, and what it commits to is going to become table stakes.
Mavrick's response is to publish the entire system:
The architecture is published.
Read it at /product.
The system prompt is published.
Verbatim, the same one Mavrick reads before every response. Read it at /system-prompt.
Every learning the agent acquires in production is published.
The Mavrick Learning Log tracks every approved pattern, every declined pattern, regression pass rates, and customer fix-DM closures in real time. Read it at /learninglog.
The privacy posture is contractual.
Four binding rules in the Privacy Charter, versioned with public diffs, reference-able in your MSA. Read it at /privacy-charter.
This isn't a marketing posture. It's the price of admission to a category we're inventing. If we're asking customers to trust an AI employee with their revenue, the least we can do is show them exactly how it works.
Brian MacDonald
Founder
A decade as a marketing operator and advisor across dozens of companies — ecommerce, DTC, B2B, and creator-commerce — a vantage point that makes one pattern unmistakable: every company is short-handed in marketing, and the work that gets dropped is the work that actually moves revenue.
Brian built Mavrick to take that work. He leads the company and the Special Ops Team that engineers custom infrastructure on top of the platform.
Based in Irvine, California. info@getmavrick.com
Mavrick is a product of NLVL Inc., based in Irvine, California. Founded in 2026. Backed by founder capital and in active conversations with seed-stage investors.
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