AI expert Rachel Woods has developed a unique system that enables her eight-person team at AMP to operate with remarkable efficiency using AI playbooks. These structured frameworks guide AI through tasks like project planning and sales enablement, automating workflows that would typically require significant manual effort. For instance, a project planning playbook employs a “131” process to outline problems, brainstorm solutions, and create actionable plans. This approach has tripled team productivity, according to Marketing Against the Grain.
Discover how these AI playbooks streamline operations by automating repetitive tasks and enhancing decision-making. You’ll gain insight into how triggers, inputs, steps, and outputs form the backbone of these frameworks, as well as how “playbook stacking” allows multiple systems to collaborate seamlessly. Additionally, explore how AMP balances AI-driven efficiency with human oversight to maintain adaptability and ensure high-quality results.
TL;DR Key Takeaways :
- Rachel Woods, founder of AMP, uses AI playbooks with tools like Claude to triple her eight-person team’s productivity by automating workflows and reducing manual oversight.
- AI playbooks are structured frameworks with triggers, inputs, steps, and outputs, enabling AI to act as a team member or department by following predefined processes.
- Playbooks like “answering sales questions” significantly reduce response times, with AI answering queries in one minute and escalating unresolved issues with proposed responses for approval.
- Woods emphasizes “owning” playbooks by storing them in GitHub or Google Drive, ensuring flexibility and adaptability as technology evolves, while integrating AI with tools like ClickUp for collaboration.
- AMP trains individuals to become AI operators, focusing on designing AI systems aligned with business goals, and offers free resources like a class on playbooking and a guide for building Claude skills.
How an AI Expert Runs an 8-Person Business With Claude
Rachel Woods, an AI expert and founder of AMP, has developed a system of AI playbooks that allows her eight-person team, only half of whom work full-time, to operate with exceptional efficiency. Using Claude and other AI tools, her team has tripled productivity and automated significant portions of their workflow. This structured method, called “playbooking,” enables AI to act as a team member or even an entire department by following predefined frameworks.
Woods began working in AI operations just one month before ChatGPT’s release, giving her early exposure to the field’s rapid evolution. Her systems have since been featured in outlets like Forbes and Business Insider.
What Are AI Playbooks?
AI playbooks are structured frameworks that guide AI in completing tasks. Each playbook includes four key components: the trigger, inputs, steps, and outputs. The trigger starts the workflow, such as a scheduled task or external event. Inputs provide the necessary data or instructions to maintain user control. Steps outline the process the AI follows, while outputs define the expected results.
Triggers can include scheduled tasks, emails, or external events like changes in AI visibility on platforms such as ChatGPT. Inputs ensure the AI operates within clear user-defined parameters.
For example, in a project planning playbook, the input begins with a project pitch. The AI then uses a “131” process: identifying the main problem, brainstorming three approaches, and recommending one. It clarifies timelines, creates tasks, and generates a detailed project plan. The AI also flags tasks it can start immediately, leveraging its understanding of the project context.
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Boosting Productivity With Playbooks
These playbooks allow Woods’ team to automate tasks in areas like project planning and sales enablement. The results are significant: the project planning playbook has tripled the team’s productivity. By automating repetitive tasks and reducing manual oversight, the team can focus more on strategic initiatives.
One notable example is the “answering sales questions” playbook. This system retrieves information from a knowledge base or sales guide to respond to Slack queries within one minute, compared to the 10-15 minutes a human might take. Unanswered questions are escalated to a manager with a proposed response for approval. Once finalized, another playbook updates the knowledge base, maintaining accuracy and consistency.
This playbook also offers coaching on brand communication, researching and presenting proposals for managerial approval. A separate playbook ensures the knowledge base stays updated with approved answers, keeping information current.
Flexibility and Collaboration
A core principle of Woods’ system is owning the playbooks while “renting” the technology. The team stores playbooks in GitHub rather than embedding them in tools like Claude or ChatGPT. This approach provides flexibility and control, allowing workflows to evolve with technological advancements. Alternatively, playbooks can be stored in Google Drive for accessibility.
AI tools like Claude are used for both work and personal routines. For instance, Woods starts her day by typing “todaying” into Claude, triggering a playbook that organizes her morning tasks. The team also integrates AI with project management tools like ClickUp, fostering collaboration between humans and AI. While AI handles much of the groundwork, a robust project management tool remains essential for overseeing complex projects.
Interestingly, the project planning playbook often overestimates task durations. However, refining these estimates is not currently a priority for Woods’ company.
Scaling With Playbook Stacking
“Playbook stacking” is a powerful feature of Woods’ system, where multiple playbooks work together to manage complex workflows. For example, in their sales enablement system, one playbook answers sales questions while another updates the knowledge base. This layered approach allows AI to simulate the work of an entire department, reducing manual intervention and ensuring consistent results.
The team refers to this interconnected system as their “go-to-market system” for sales. By structuring their work into scalable playbooks, they have created an efficient workflow that adapts to their needs. They also use Claude and shortcuts like the backslash sign to quickly locate and run playbooks in new chats. One playbook, called “full pitch,” is designed to provide detailed inputs for project planning.
Becoming an AI Operator
Woods and her company AMP train individuals to become AI operators, professionals who design and manage AI systems. This role goes beyond simply using AI tools; it involves creating systems that align with business goals and deliver sustainable value. According to Woods, becoming an AI operator offers significant career opportunities, as AI-first workflows are expected to become standard across industries.
AMP offers a free class on playbooking to make this training accessible. They also provide a guide titled “Build your first Claude skill file in 30 minutes,” which walks users through creating skills in Claude and Codex.
Clear instructions are critical for these systems’ success. Woods argues that most poor AI outputs result from unclear instructions rather than flaws in the technology. The “131” process, which encourages exploring multiple ideas before choosing one, demonstrates how structured guidance can improve outcomes. By offering detailed, step-by-step instructions and incorporating feedback mechanisms, AI can consistently deliver high-quality results.
Lasting Impact
Woods’ playbook system shows how AI can transform business operations. By automating routine tasks, reducing response times, and fostering collaboration between humans and AI, this approach provides a practical framework for integrating AI into organizations. Its success hinges on clear instructions, well-structured workflows, and adaptability as technology evolves.
For teams exploring AI-first workflows, this system highlights what is possible. Whether managing projects, answering sales queries, or supporting team collaboration, AI playbooks offer a scalable and efficient solution. Based on observed results, businesses adopting this approach can achieve significant productivity gains and position themselves for long-term success.
Media Credit: Marketing Against the Grain
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