Agents Automating Startup Formation Workflows
Chris Lu, co-founder of Copy.ai, on the future of generative AI
The real moat in business AGI is not writing text, it is getting software to finish real world setup work across many separate products. Opening Stripe Atlas and Ramp in a browser is a concrete example of moving from draft generation into execution, where the system has to know the right order of steps, fill forms, handle approvals, and carry company data from one tool into the next. This is closer to workflow automation than copywriting.
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Stripe Atlas is part of the startup formation stack because it lets a founder incorporate in Delaware, get an EIN, issue founder equity, file 83(b), and start payments quickly. That makes it an obvious target for an agent trying to stand up a company from scratch.
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Ramp sits one layer later in the stack. It gives a company a corporate card, expense controls, bill pay, procurement, and vendor management, so an agent opening a Ramp account is really setting up how money gets spent and tracked after the company is formed.
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This also explains why Copy.ai had to move beyond pure writing. After ChatGPT commoditized basic text generation, the higher value opportunity became multi step enterprise workflows, like researching a prospect, drafting outreach, and pushing it into the CRM, or eventually coordinating many startup tools in sequence.
The direction is toward agent products that act less like editors and more like operating layers for work. The winners will be the products that can reliably carry context across tools, trigger actions inside systems of record, and reduce human work to review and approval instead of manual setup and data entry.