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Tools are emerging that don't just build an app but run the entire company—managing marketing, bookkeeping, and legal. This evolution shows the value is not in the LLM itself but in the 'harness' built around it to orchestrate complex business functions, creating a new category of fully autonomous company builders.
The evolution of 'agentic AI' extends beyond content generation to automating the connective tissue of business operations. Its future value is in initiating workflows that span departments, such as kickstarting creative briefs for marketing, creating product backlogs from feedback, and generating service tickets, streamlining operational handoffs.
Platforms like Nebula allow founders to move beyond simple automation. By providing a high-level directive and connecting services, AI agents can run entire business functions, like a content blog that researches, writes, and publishes daily with minimal human intervention.
Pulsia represents a new paradigm where AI doesn't just assist users but autonomously runs their businesses. It wakes up daily to perform tasks like coding, marketing, and ad management. This "company-in-a-box" model, with a subscription plus revenue share, makes entrepreneurship more accessible.
Simply offering the latest model is no longer a competitive advantage. True value is created in the system built around the model—the system prompts, tools, and overall scaffolding. This 'harness' is what optimizes a model's performance for specific tasks and delivers a superior user experience.
Most successful SaaS companies weren't built on new core tech, but by packaging existing tech (like databases or CRMs) into solutions for specific industries. AI is no different. The opportunity lies in unbundling a general tool like ChatGPT and rebundling its capabilities into vertical-specific products.
Building a single AI tool is not enough. The real value lies in becoming the 'conductor,' creating a system that orchestrates multiple specialized AI agents to complete complex workflows. Whoever owns this coordination layer owns the entire value flow.
Simply adding a generative AI co-pilot is now table stakes for SaaS companies. The founder argues the next evolution is 'agentic AI' — systems that don't just provide insights but autonomously perform tasks and make decisions for the user, like qualifying and actioning a sales lead.
A single person can direct AI agents to conceptualize, code, and operate an entire business. This represents a new paradigm of a "fully autonomous enterprise," where AI handles everything from development to strategic planning, potentially creating a one-person, six-figure company.
The next wave of AI is 'agentic,' meaning it can control a computer to execute commands and complete tasks, not just generate responses to prompts. This profound shift automates workflows like coding and administrative tasks, freeing humans for high-level creative and strategic work.
YC Partner Harsh Taggar notes a strategic shift where new AI companies are not just selling software to incumbents (e.g., an AI tool for insurance). Instead, they are building "AI-native full stack" businesses that operate as the incumbent themselves (e.g., an AI-powered insurance brokerage).