Guide 1: Designing Your AI Stack

How to Assemble and Pilot AI Tools That Actually Complement Your Workflows

Let’s get this out of the way: you don’t need a PhD in machine learning or a $10M innovation lab to build an AI stack that works for you.

You just need a clear goal, a few well-chosen tools, and the ability to ask better questions than the bots themselves.

Why You Need an AI Stack (And Not Just a Fancy Chatbot)

Most people dabble in AI with a single tool (ChatGPT, we’re looking at you). That’s like building a tech company using only sticky notes. It might be fun for a day, but you’ll run out of steam real quick.

An AI stack is a curated set of tools designed to solve real problems in your unique environment. Think of it like your digital dream team; each tool plays a different role, but they work together to help you:

• Save time without creating more busywork

• Increase quality without micromanagement

• Boost innovation without burning out your team

  
  

Start With the Outcome, Not the Hype

Before you go full cyberpunk and sign up for 37 new AI platforms, ask yourself: What do I actually want to improve?

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