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New jobs of the AI era

Prompt engineer

Shrinking

As a standalone job title it shows up less and less: models understand plain requests better, and every employee is now expected to know how to give AI a task. The skill itself hasn't gone away. It moved inside other roles and grew into working with context.

  • 6 lessons
  • 4 tools
  • 4 resources
  • Checked: October 2026

Where this job sits on the map

In the same group: 8 of 100 professions.

What changes

  1. Fewer job postings carry the title "prompt engineer", and the skill shows up in the requirements for other roles instead.

  2. Choosing the right words matters less than assembling the context: the documents, examples, tools and rules the model receives.

  3. A prompt's quality is tested on a set of examples, not by eye.

AI drafts, the person decides

How the work splits here: AI prepares a draft, the person checks it and makes the call.

AI makes the draft

What AI does

  • Improves and rewrites a prompt from a description of the task
  • Suggests prompt variants and examples to go with them
  • Runs one prompt on different inputs and compares the answers
  • Shortens long prompts without losing the meaning
You check itRead it, check the facts, fix it. Without this check the draft goes nowhere.
You decide and stay responsible

What stays with the person

  • Understanding the business problem: what counts as a good result
  • The set of test examples and choosing the best version
  • Knowing the field; without it a prompt comes out generic
  • Responsibility for what the assistant tells customers

What to learn first

6 lessons from the course, in order. Start with the first one.

  1. How an LLM works inside, explained without mathStarting from zeroHow a language model works inside: tokens, context, temperature and hallucinations, explained without math.Start here
  2. How to write a good promptUserHow to give AI a task: the five parts of a good prompt, Plan Mode, and how to refine an answer instead of starting over.
  3. Tokens and context management in Claude CodeConfident userWhat tokens and the context window are, how to read /context and how to save tokens with progressive loading.
  4. Context Rot and 28 techniques to fight degradationConfident userContext rot: why quality drops as the window fills, and 28 techniques to prevent it.
  5. Arsenal of Prompts: 6 reusable modesBuilderSix ready-made prompt modes (writer, editor, debug, research, architect, ADR) and how to build your own.
  6. Evals: skills that improve themselvesEngineerEvals for skills: tests, pass rate, checking that the skill triggers and a data-driven improvement loop.

Which tools to use

  • An AI assistant for long documents, analysis and code, with Claude Code and Cowork on paid plans.

    Freemium

  • OpenAI's mainstream AI assistant: chat, voice, images, the Work agent and Codex.

    Freemium

  • Google's assistant, built into Gmail, Docs and Sheets, with Deep Research, Gemini Live and Canvas.

    Freemium

  • Google's free studio for Gemini: Build mode creates an app from a description or sketch.

    Freemium

Ready-to-use materials

  • A rough request becomes a task with a goal, boundaries, done criteria and a report format.

    Free

  • Go through an AI answer claim by claim: what's right, what's doubtful, where it's wrong and what to check at the source.

    Free

  • Assess the risk, spot the signs of a made-up answer and run a 5-minute check before you act on what AI says.

    Free

How to earn with AI

We don't promise income: results depend on your niche, your market and your work.

  • Job

    Stay in your own profession and become the person on the team who's best at giving AI tasks: writing shared instructions, templates and rules for checking.

  • Service

    Setting up assistants for a small company's tasks: instructions, context files and a set of test questions.

  • Product

    A library of tested prompts for one profession, with examples of what goes in and what comes out.

Similar professions

Checked: October 2026