The ‘Tiny Team’ Strategy: How One Startup Uses AI Playbooks to Replace Four Full-Time Hires

Redefining the Modern Workforce

In an era where many businesses are rushing to expand their human headcount, Rachel Woods, the CEO and co-founder of AMP, is taking a different approach. Her eight-person startup—comprising four full-time employees and four part-time contractors—is operating at a scale that would typically require double the staff. Woods credits this efficiency to a strategy she calls “playbooking,” which utilizes AI agents to handle tasks that would otherwise demand a dedicated sales manager, customer support specialist, executive assistant, and operations coordinator.

From Facebook to Entrepreneurship

Woods’ journey into the world of artificial intelligence began long before the current AI boom. After studying management information systems at the University of Texas at Austin, she joined Facebook in 2018, where she worked on AI research and development for the company’s advertising systems. She credits her success in landing that role to her initiative in building side projects and teaching herself data analysis and model training.

Following her time at Facebook, Woods transitioned into entrepreneurship. She founded Vinebase, a tech platform that utilized AI to assist winemakers with digital sales and management. At the time, she referred to the technology as an “auto magic” system, noting that the term “AI” was not yet mainstream and could have potentially deterred customers. Vinebase was eventually acquired by Corksy in 2022.

The Playbook Philosophy

The core of AMP’s operational success lies in its “playbooking” system. Woods explains that every department within the company operates under a specific collection of AI agents that can function either independently or in concert. To create a playbook, Woods suggests identifying a repetitive task, documenting the inputs and desired outputs, and outlining the decision-making process exactly as one would when training a human hire.

“You want to own the thinking and the logic,” Woods says, emphasizing that the human must design the workflow. By manually outlining the steps, the business ensures that the AI is not simply “running on vibes,” but is instead executing a pre-defined, reliable process. Once a playbook is established, the team monitors the AI’s output, refining the process until the system is trusted to run autonomously.

Operational Costs and Scalability

Running a lean, AI-driven organization comes with its own set of financial considerations. AMP incurs two primary types of AI-related costs. The first is the standard subscription fees for platforms like Claude and ChatGPT for each team member. The second is a usage-based cost for running background AI agents. For instance, in September, the company spent $8,510 on Claude Code to support its automated playbooks.

Despite these costs, Woods maintains that the strategy provides significant flexibility. Her philosophy is to “own the playbook, rent the tech.” Because the logic is housed in the playbook itself, the company is not tethered to a single AI provider. Woods notes that the current setup could theoretically be migrated to other platforms like Gemini, Grok, or Microsoft Copilot without losing the core operational structure.

Advice for Small Teams

For those looking to integrate AI into their own workflows, Woods suggests starting small. She encourages team members to begin by “playbooking” their personal workflows, using those smaller tasks as a testing ground before graduating them into official, company-wide systems. By focusing on repetitive tasks, teams can begin to see immediate efficiency gains, which Woods describes as a “snowball” effect that builds momentum for further automation.

Ultimately, Woods views AI as a tool that enhances human productivity rather than a replacement for human judgment. By designing the systems that govern how work is done, she argues that employees can secure their roles in the AI era, ensuring that the technology serves the business’s specific needs while reducing the burden of manual, repetitive labor.

Source: businessinsider.com