General Intelligence Built an AI Platform for Startups on Vercel

General Intelligence, an 8-person team, has proven the concept of a company managed exclusively by AI agents. Their Cofounder platform gives founders a complete department of artificial employees—from a CTO agent to a sales manager.

Agents for Every Department

Cofounder covers seven functions:

• Engineering (CTO agent writes code, tests, deploys)
• Marketing (strategy and content)
• SEO (optimization and analytics)
• Finance (budget management and reporting)
• Sales (cold outreach, negotiations)
• Customer support (tickets, routine tasks, chats)
• Operations (process organization and scaling)

Each customer receives their own fully managed Vercel account with their own cluster of agents. The platform scales with business size: from a single founder to a growing company.

Why Standard Clouds Don't Work

When General Intelligence started developing Cofounder, they encountered a fundamental problem. Standard cloud platforms are built for humans, not agents. There are beautiful dashboards, consoles for reading logs, REST APIs for half the operations. Everything else requires UI clicks. For a human, this is normal. But agents see it differently. Each click in a dashboard is a missed API endpoint. Logs aren't just reading from a console—they're parsing structured data. Infrastructure must be fully programmable because agents run dozens of tasks in parallel.

CEO Andrew Pignanelli put it this way: "There are providers that let an agent do 5% of the work. There are those that allow 50%. We need a platform where an agent can do 100%."

Migration to Vercel

The first host (Render) quickly became a bottleneck. They needed absolute control through code: kill deployments, change DNS, manage billing, edit configs. Everything an engineer does in the UI must be accessible to an agent via CLI or API.

"If you're building a system where an agent manages your entire infrastructure, you should use

Vercel." — Andrew Pignanelli

After the migration, development at General Intelligence stopped looking traditional. 5 engineers no longer configure local environments. Here's how it works: CTO agent makes a change → commits to a branch → within 30 seconds a full preview environment spins up → a browser agent automatically tests on the live URL. The result depends only on code logic.

Small Team at Scale

The results look ambitious. 8 people (5 engineers) per day:

• 10 pull requests across the entire stack
• 70+ commits per day per engineer
• 4,000+ simultaneously active preview branches
• 90% of SRE work fully automated

This is a scale that normally requires 100+ developers.

What This Means

Agents are moving from research labs into production systems, and cloud providers weren't ready for it. Render, AWS, Google Cloud built infrastructure for humans. Now architecture needs to be rewritten with an agent-first orientation. For founders, this means: one founder + AI agents—already a competitive advantage in development speed.