Choosing the Right Tool: A Practical Decision Framework

You now know the major players. But knowledge without a framework for applying it just creates a different kind of confusion. This lesson gives you that framework.

The Three Questions to Ask First

Before reaching for any AI tool, ask:

1. 1.What type of output do I need? (Text, code, image, search result, audio?)
2. 2.Does this task require real-time information?
3. 3.Am I already inside a platform that has AI built in?

These three questions eliminate most of the decision complexity immediately.

The Decision Framework

Step 1: Match Output Type

Step 2: Consider Platform Context

• If you're working inside:
• Google Docs / Gmail / Sheets — Use Gemini (it's built in)
• Word / Outlook / Excel / Teams — Use Copilot (it's built in)
• VS Code or GitHub — Use GitHub Copilot
• Standalone task — Move to Step 3

Step 3: Choose by Task Type

• For writing tasks:
• Requires long source documents or nuanced prose — Claude
• General drafting, versatility needed — ChatGPT

• For research and factual tasks:
• Need cited, real-time sources — Perplexity
• Exploring concepts, no citation needed — ChatGPT or Claude

• For coding:
• Inside your code editor — GitHub Copilot
• Standalone conversation — ChatGPT or Claude 3.5 Sonnet

The "Good Enough" Principle

A common trap is over-optimising tool selection. In practice:

• For most general tasks, ChatGPT and Claude are roughly interchangeable
• The quality difference between them on a given task is usually smaller than the quality difference between a good prompt and a poor one
• Prompt quality matters more than tool choice for 80% of everyday tasks

Building Your Personal Stack

Most productive AI users settle on a personal stack of 2-3 tools:

• Example stack for a writer/marketer:
• Claude for long-form content and document analysis
• Perplexity for research with citations
• Midjourney for image creation

• Example stack for a developer:
• GitHub Copilot in the editor
• ChatGPT or Claude for architecture discussions
• Perplexity for looking up technical documentation

Module Summary

• The three tiers of AI tools (foundation models, assistants, specialists)
• How ChatGPT, Claude, Gemini, Copilot, and Perplexity differ
• A decision framework for choosing the right tool by task
• A model for building your personal AI stack