AI workflows for operations teams. Process automation, documentation, reporting, and business optimization.
Create powerful, personalized automations without writing any code. Simply describe a recurring problem to Claude in plain English and collaboratively refine the solution through a back-and-forth chat.
Create an AI agent that acts as an economic actor, autonomously paying for third-party API services to accomplish complex goals. This workflow demonstrates an agent planning a birthday party by paying for web browsing, venue search, and mailing services using Stripe.
Turn a multi-step scanning chore into a simple conversation. Use the AI-powered Warp terminal to control your scanner and automatically merge front and back pages into a perfectly ordered PDF.
Build a custom `/deploy` command that automates the entire Git process—from branching and committing to creating a pull request and monitoring CI checks. The AI can even fix its own CI failures.
Create a virtuous cycle with Zapier that analyzes support conversations, suggests new FAQs for a knowledge base, and uses a human-in-the-loop step to ensure quality and continuously improve an internal chatbot.
Create a custom GPT that learns your specific standards for quality work. By providing 'before' and 'after' examples, you can train an AI to act as a coach, giving your team instant, high-quality feedback that clones your expert eye.
Create a reusable system for generating high-quality, on-brand job descriptions using Claude Projects. This few-shot prompting technique saves time and ensures brand consistency for all hiring managers.
Learn how to prototype and build a production-ready application to automate the creation of massive FDA submission documents. This workflow takes you from a simple prompt in Claude to a functional Streamlit app with features like PHI redaction and cost analysis.
Develop a custom GPT workflow to standardize and improve the quality of interview feedback. By providing a rubric and examples, the AI generates consistent, actionable feedback and a Slack summary for interviewers.
Connect the Goose AI agent to a Square dashboard using the Model Context Protocol (MCP) to automatically populate a product catalog from a CSV file and generate payment links with single prompts.
Build a custom AI agent that interacts with users via SMS to perform tasks like matchmaking or scheduling. This advanced workflow uses a low-code stack to connect a database (Airtable), an automation engine (n8n), and a messaging API (Twilio).
This workflow shows you how to design a custom categorization system, like a Dewey Decimal System for any collection, and use AI to automatically classify hundreds of items in an Airtable database, saving countless hours of manual work.
Learn how to use a large language model like Claude as a central 'brain' for your new business. This workflow covers generating financial projections, understanding local permits, and developing customer personas from a single conversational interface.
Build a highly efficient, AI-powered personal operating system by centralizing all your business context—notes, data, and prompts—into a GitHub monorepo. This allows AI assistants like Claude or Gemini to consistently and accurately automate complex tasks like writing proposals and creating content.
Move your company from risky 'shadow AI' usage to a structured, safe, and scalable program. This workflow details how to survey your team, collaborate with stakeholders, and build a centralized knowledge center for approved AI tools and data guidelines.
This workflow provides a step-by-step guide for running an interactive workshop to get non-technical team members excited and comfortable with using generative AI tools, fostering a culture of experimentation.
Learn how to transform a personal AI discovery into a formal, company-supported initiative. This workflow covers building a business case and crafting the perfect pitch to get leadership buy-in for broader AI adoption.
Execute a structured, company-wide 'Builder Day' to get your entire organization hands-on with AI tools. This playbook uses friendly competition and dedicated support to overcome adoption friction and create sustained usage.
Create an automated agent that analyzes interview transcripts against a job description and company values to provide an unbiased hiring recommendation. This system acts as a consistent thought partner to reduce bias and improve decision-making speed.
Turn unstructured meeting data into a concrete, data-driven understanding of your company's real culture. Use AI to analyze meeting transcripts and generate a cultural handbook that can then be used to create objective hiring rubrics.
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