Run the back office with AI

The unglamorous grind: workflows, finance, legal, and hiring, automated where it counts.

5 steps, 25 questions, laid out in the order you'll hit them

Each step is a topic with the real questions founders ask; open whichever one you're stuck on for the answer and the resources on it.

1. 1
   Workflows & Automation

   What's the difference between automation (Zapier, n8n, Make) and AI agents? 4 → How do founders chain AI into their existing tools to remove repetitive work? 4 → What are the highest-ROI automations a startup should build first? 4 →
2. 2
   Finance & Accounting

   How do founders use AI for bookkeeping, invoicing, runway and burn analysis? 4 → Why build financial models with AI instead of from a blank spreadsheet? 4 → How do people use AI to prepare MIS/investor updates faster? 3 →
3. 3
   Legal & Contracts

   Why review contracts with AI before paying a lawyer? 19 → How do founders handle NDAs, ESOPs, term sheets, and compliance questions with AI? 19 → Where is AI legal help dangerous, what still needs a human lawyer? 20 → Which AI legal tools actually work for startups, and how do you choose? 19 → What prompts get reliable contract review out of ChatGPT or Claude? 18 → All 13 questions in Legal & Contracts →
4. 4
   Hiring & HR

   How do founders use AI to write JDs, screen resumes, and prep interviews? 4 → Why use AI to design onboarding and internal docs for a small team? 3 → What are the ethics/pitfalls of AI in hiring that founders should know? 4 →
5. 5
   Productivity

   Why let AI handle meeting notes, action items, and follow-ups (Granola, Fathom, Fireflies)? 5 → How do founders get to inbox-zero with AI email tools (Superhuman AI, Gemini, Shortwave)? 4 → What does a founder's AI-powered daily operating system look like? 4 →