Cracked

Cracked connects supervised AI agents to advertising, social media, and email accounts, executing growth tasks for high-revenue founder-led brands. The service offers two delivery models: time-bound growth sprints and long-term ongoing operations, giving brands flexible support for focused campaigns or sustained execution.

AI Agent Platform#Growth Marketing#AI Agent#brand advertising

Updated: 2026-10-27

What is Cracked?

Cracked is a growth agency service for high-revenue founder brands; it officially states that it serves brands with monthly revenue above $10 million and monthly ad spend above $20,000. It plugs supervised AI agents into clients' advertising, social media and email accounts to handle day-to-day growth execution, offering both short-term sprints and long-term operations. Officially, its team also emphasizes combining process traceability with human approval, keeping automated agents controllable in high-budget ad scenarios.

Who is it for?

Founders of brands whose monthly revenue and ad spend are already substantial and who want to scale up growth experiments.
Growth teams that want agents to operate ad and social accounts directly while retaining approval authority.
Consumer brands willing to buy AI growth capability as a service.

Key features

Supervised Agents

Officially, each team is staffed with specialized agents for research, experimentation, Meta ads, Google ads, social media, creative and cold email, each with clear responsibilities, working together to advance growth experiments.

Growth Sprint

A time-boxed sprint priced at $20,000 for three weeks; officially committed to launching on day 21, with a refund if delivery is late — suited for quickly validating a growth playbook.

Growth OS

A long-term plan priced at $100,000 plus $10,000 per month, turning the channels and creative assets proven during the sprint into a continuously running agent operations system.

Process Traceability

Every operation leaves a screenshot log, and actions beyond the authorized scope require human approval, so brands can review what the agents did at any time.

Dedicated Compute

Officially, each client runs on a dedicated Mac Studio machine, isolating different brands' accounts, data and execution environments.

Things to know

Usage Advice

Before authorizing agents to operate, confirm account ownership and budget responsibility; in case of dispute, reconcile using logs and screenshots.
First use the three-week Growth Sprint to validate the playbook, then decide whether to move to the long-term Growth OS.
Before authorizing, specify which accounts agents may operate and the budget ceiling, and review screenshot logs regularly.
Turn sprint-period creative and experiment findings into internal assets for long-term agents to keep reusing. From a team-collaboration perspective, this kind of service splits growth execution into clearly defined agent roles; founders don't have to learn ad buying themselves, but should still retain final say over budget and brand direction. Overall, how well such tools work depends on whether the user's goals are clear. Before adopting one formally, spend time reading the official documentation and changelog to confirm that the feature scope, data permissions and billing rules match your own business processes. For uncertain details, confirm through official customer support or the help center first, and don't rely on third-party information for important decisions. At the same time, any automation should retain a human review step — especially in scenarios involving money, external communication or legal obligations, where humans remain ultimately accountable. The value of a tool isn't in replacing judgment, but in handing off repetitive work so people have time for more complex problems.