Today, we opened Supercamp to everyone.
Months of working with pilot users taught us something unexpected. AI employees don't work the way we thought they would.
Scale works backwards
Large teams have processes. Small teams have problems.
A solo founder sees immediate impact from one AI employee. They're drowning in tasks and desperate for help. Give them an AI that can handle customer support while they focus on product, and magic happens.
Big companies? They need time. They have approval processes, security reviews, integration discussions. The need is there, but the path is longer.
The constraint is the catalyst.
Natural language changes the game completely. No code. No complex workflows. Just tell the AI what you want: "Handle my customer emails" or "Research competitors and make a spreadsheet." It connects web search with your tools and gets it done.
Three stories
Marketing agency owner: "I told it to research leads and update my CRM. It did both. Saved me 10 hours a week."
Consultant: "Prepare for tomorrow's strategy session with Company X." The AI analyzed client data, pulled market research, created talking points. Meeting prep went from 2 hours to 2 minutes.
Startup founder: Multi-step workflows without code. Complex logic through simple English. "This isn't automation," he said. "It's having a thinking partner who never sleeps."
Each story, same pattern. Complexity hidden behind simplicity.
The breakthrough
Forget workflow builders. Forget technical integrations.
The future is simpler.
"Research our top 10 competitors and create a comparison spreadsheet."
The AI understands. Connects web search, data analysis, spreadsheet creation. Gets it done.
Automation becomes accessible when you can describe what you want instead of programming what you need.
Every company should be able to scale. Technical teams or not.
Open doors
7-day free trial.
Full customer support.
Same capabilities our pilot users have been using.
Pilot phase taught us plenty. Open registration teaches us more.
What happens when everyone has access to AI employees that understand English and connect your existing tools?
We're about to find out.
The question isn't whether you need an AI employee. The question is: what will you build when complexity becomes simple?