The demo worked. The production didn't. Most agent pilots die in the gap between a playground and a system your team can govern and run.
We build the system. Workflows, loops, skills, memory, evals: everything your team has piloted, shipped as tested platforms that run inside your infrastructure and keep running after we leave.
Most AI agencies advise or demo. We ship. Two working systems are below, with the engineering standards they're held to. Both run on whatever model your procurement team has approved, on your keys, behind your firewall, with compliance tests proving nothing leaks.
A model is a gifted hire on day zero: no tools, no rules, no memory, no manager. The harness is everything around it. Most teams hire the talent and skip the management.
Every stalled pilot we've been brought into failed the same way. The model was fine. What was missing sat around it: no gate stopping bad output before it shipped, and no eval saying whether this week's system beat last week's. Nobody could say why the agent did what it did. Configuration failures, every one.
We build that harness. Every number in our systems carries a tag saying where it came from, and every output clears a gate before it touches production. Agents earn their place by beating real history.
The scaffolding that turns a model into a system you can depend on.
Your infrastructure, your keys, your choice of model. No vendor dependency.
Platforms your team runs after we leave.
A platform that designs, simulates, gates, and ships live-ops for a game played by millions: events, sales, patch notes, post-launch readouts.
Every surface that ships a live-ops change runs through one spine. Load real player segments and simulate the design against them. Calibrate the knobs to a target. Check the result against hard economy rules, compile it to real game-schema JSON, and backtest against events that actually shipped.
The platform optimizes net lifetime value, retention plus sustainable spend, and never a single event's revenue. Its gates reject designs that buy a revenue spike by burning the player base. That's creative direction written as a rule the system enforces.
One platform for content, publishing, and user acquisition, where organic and paid share a single intelligence. Alexandria's 170 specialized agents do the work.
Marketing stacks usually split organic from paid, and the two sides never share what they learn. Marketing OS runs both. Organic publishing across 36+ social platforms, and the full Meta Ads loop: monitor, detect fatigue, rebalance budget, rewrite copy, upload.
The learning loop ties it together. Organic winners get flagged for paid promotion, paid winners reshape organic strategy, and every result is written back to Alexandria as a learning. The system gets sharper with every campaign.
Thirty minutes with a founder. We walk you through both platforms live and tell you whether systems like these are the right call for your business. If they're not, we'll say so.