Automated Cream builds and owns autonomous digital businesses operated by AI agent systems — with exception-only human oversight.
Content, distribution, lead capture, monetization, retention. These loops are measurable, optimizable, and now — fully automatable.
Automated Cream exists to prove a thesis: a company can build, own, and operate real businesses through AI agent systems, with humans involved only for governance, capital allocation, and rare exceptions.
Not AI-assisted. Not "one person with tools." Autonomous. The agents scrape, build, publish, monitor, debug, and self-correct. The business runs whether anyone is watching or not.
Named agents with defined roles execute autonomously. They don't assist a human — they are the workforce.
New ventures plug into shared orchestration, monitoring, publishing, and QA infrastructure. Venture-specific logic is custom. The common operating layer compounds.
Humans set direction, allocate capital, and handle what agents can't. Everything else is automated.
A hyperlocal media network that autonomously discovers events, generates content, publishes websites, and delivers daily newsletters — across 19 city editions.
TIN runs a complete daily pipeline: event scraping from multiple sources, content generation, editorial quality gates, site builds, and email delivery. The agent fleet handles everything from data collection to deployment to debugging failures.
Find a business that runs on repeatable content loops, automated distribution, and transaction-light revenue. If it needs a growing team, it doesn't qualify.
Construct the agent fleet, ingestion pipeline, content engine, publishing system, quality gates, and monetization layer. The machine is the business.
Agents operate the business autonomously. The governance layer monitors exceptions, allocates capital, and makes strategic decisions. Nothing else.
Every machine strengthens the shared orchestration and monitoring layer. Venture-specific logic stays custom, but the common operating infrastructure compounds with every launch.
These ventures are in development — selected because they fit the autonomous operating model. They're honest about where they are.
Solana signal engine. Scans, scores, and delivers alerts via Telegram. MVP scaffolded with composite scoring and calibration tooling.
Automated carousel creation and social scheduling for evidence-based mobility and strength content. Content pipeline built, pre-monetization.
Automated research prep, content generation, and compliance review for investment newsletters. VSL pipeline at Tier A-.
Household financial intelligence. Automated diagnostics, stress tests, and weekly reports. Plaid integration in sandbox, pending production access.
Agents operate the businesses. Humans handle what agents can't — and nothing more.
Decide which businesses to build, maintain, or sunset. Set direction. Evaluate new opportunities against the autonomous operating model.
Where to invest. Infrastructure upgrades, new venture funding, operating budgets. Humans control the money, agents control the work.
Contracts, regulatory review, anything requiring a human signature or legal judgment. The one domain that cannot be delegated.
When agents escalate a failure they can't resolve. This should be rare and decreasing over time. The goal is fewer exceptions every month.
Periodic audits of agent output to prevent drift. Not daily review — threshold adjustments that keep the system honest as it scales.
Content production, distribution, monitoring, debugging, data collection, scheduling, deployment, reporting. Agent work. Not human work.
One proven business. Four in the pipeline. A common operating layer that compounds with every launch.