ChatGPT

A flexible reasoning and production layer for writing, analysis, research and connected workflows.

Best for
  • Turning messy briefs into an executable plan
  • Research, writing and analysis in one workspace
  • Building reusable prompts, projects and working templates
Watch out for

Verify important facts, figures and source claims. The quality of the output depends on the context and constraints you provide.

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The short version

ChatGPT earns a place in the stack when you use it to move work forward — from ambiguity to a decision, from rough notes to a draft, or from a repeated task to a usable process.

Its advantage is range. You can move between research, a product brief, a spreadsheet question, code review and content strategy without rebuilding the context each time.

Where it earns its place

Use it when you need to:

  • clarify a messy brief before doing the work;
  • generate several credible routes, then choose one;
  • analyse structured information and explain the result;
  • turn repeatable work into a documented workflow;
  • connect AI assistance to files, code and research.

A practical starting setup

Start with one real project, not a collection of clever prompts.

  1. Create a dedicated project for the work you repeat most often.
  2. Add the actual brief, examples, constraints and definitions of a good result.
  3. Ask for an operating checklist before asking for the finished output.
  4. Save the winning structure as a reusable template.

This keeps the tool attached to a real outcome instead of making it another place for isolated experiments.

The H² rule

Do not judge it by a single prompt.

Give it a role, the actual source material, clear constraints and a definition of a useful outcome. Then keep the useful parts as templates, projects or documented operating procedures.

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