Giga ML

The AI Revolution in Startup Operations The operational rules for startups fundamentally changed. We witness a seismic shift where artificial intelligence isn't merely a tool; it's the foundation of a new operational model. Consider Anthropic's own engineers: they confirm Claude Code writes Claude Co-work. Their developers manage multiple Claude instances, solving bugs, building features, and researching solutions. This isn't just a fascinating anecdote; it's a direct signal. The world's most sophisticated AI products are using AI internally to improve their offerings. This points to a deeper truth about startup success in this era. Defining the 20x Company Startup visionaries identify the problem, then build the solution. Today, that means automating *all* internal functions, not just a select few. I call these trailblazers "20x companies." This concept evolves Parker Conrad's "compound startup" idea, focusing its power inward. Instead of narrowly automating code or customer support, 20x companies weave automation through sales, marketing, hiring, and QA. Their leanness becomes their superpower. They postpone hiring additional staff for longer, keeping payroll tight and culture aligned. Each employee becomes orders of magnitude more powerful, outmaneuvering giants. AI Teammates: The Giga ML Case Giga ML embodies the 20x ethos. They coined the term after closing DoorDash as a client, competing against companies literally 20 times their size. Their secret: Atlas, a powerful internal AI agent. Atlas executes anything within the product—browsing, policy editing, code writing. This dramatically expands each engineer's capacity. Before Atlas, an engineer managed four to five problems; now, their scope doubles or triples. Astonishingly, Giga ML services multiple Fortune 500 pilots with volumes exceeding a million calls daily, utilizing only a single human FTE alongside Atlas. Integrated Systems: Legion Health's Blueprint Legion Health, building an AI-native psychiatry network, showcases another approach: an AI-integrated source of truth. Their custom internal interface provides their care operations team instant context—patient history, scheduling, insurance codes—all at their fingertips. This streamlined access allows Legion Health to grow revenue fourfold in a year without adding a single net new operations hire. Departments that typically demand call centers and large teams reduce to single individuals. Custom Agents for Tailored Workflows: Phase Shift Phase Shift, automating accounts receivable, pioneers custom agents for individual employees. This 12-person team competes with companies hundreds of employees strong, existing since 2006, by relentlessly automating manual processes with AI agents. They proactively ask employees to document daily tasks, then build rapid AI solutions. This culture enables them to delay hiring for entire functions; Phase Shift avoids hiring a dedicated design person, relying on their engineering team and AI tools. The Future is Lean and Automated These approaches are not mutually exclusive; combine them. Build AI teammates, cultivate a unified source of truth, and deploy custom agents for every team member. Startups adopting this comprehensive internal automation strategy stay lean, achieve unprecedented growth rates, and redefine competitive advantage. This is the new way to build. The startups that master it first? They own the future.