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Understand the strengths of each major AI tool and build a decision framework for routing tasks to the best option.
Read through the lesson, mark it complete when the concept is clear, then move to the next lesson in the sequence or jump back to the module map.
There are now dozens of capable AI tools, and using the wrong one for a task produces mediocre results. A mental model for routing tasks to tools is one of the highest-leverage skills you can develop.
Claude — Deep reasoning, long document analysis, nuanced writing, instruction-following fidelity. Best for: complex analysis, multi-step reasoning, writing that requires care.
ChatGPT — Broad knowledge, strong at brainstorming and ideation, powerful plugin ecosystem, image generation. Best for: divergent thinking, creative exploration, visual content.
Gemini — Multimodal (images, PDFs, audio), Google Workspace integration, large context windows. Best for: processing rich media, working with Google Docs/Drive, very long documents.
Perplexity — Real-time web search with citations. Best for: current information, research with sources, fact-checking.
Claude Code — Codebase manipulation, file editing, shell commands, git operations. Best for: all technical/coding tasks.
GitHub Copilot — Inline code completion inside editors. Best for: autocomplete during active coding.
Ask three questions:
You don't need all of them. Start with Claude (reasoning + writing) and Perplexity (research). Add others as specific needs arise. Avoid tool-hopping — deep familiarity with two tools beats shallow familiarity with ten.
Before starting any task, ask: "What does this task primarily require — search, reasoning, creation, or code?" Route accordingly, then execute. This habit alone saves significant time and improves output quality.