Who it is forA developer new to agent systems who wants a hands-on starting point before reading the book's first chapter.
The problemTerms like prompt, context, and harness are easy to blur together, and reading alone does not show how each layer changes agent behavior.
The outcomeThe reader runs the Chapter 1 notebook and sees the progression from prompt-only to context-supported to harness-supported setups in code.
What you need first
- A web browser and a Google account to open notebooks in Google Colab
- A GPU runtime in Colab, since the README notes some notebooks may need one
- Basic familiarity with Python and Jupyter notebooks
Steps
- Open the README and find the Chapter 1 table under Running the Notebooks.
- Click the Open In Colab badge for Prompt & Context Harness Progression.
- Sign in to Google Colab if prompted and select a GPU runtime if the notebook asks for one.
- Run the notebook cells from top to bottom and read the output of each stage.
- Note which layer (prompt, context, or harness) changes each result.
Prompt for your agent
Using the Nicolepcx/harness_engineering repo, open the Chapter 1 notebook ch01_prompt_context_harness_progression.ipynb in Colab, run it for <placeholder: your topic or task>, and return a short table comparing the prompt, context, and harness stages. Verify that every stage's output is shown before you write the table.
Caveat. The README only lists notebooks for Chapters 1 and 2 in the part shown, and it notes that some notebooks may need a GPU.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for Nicolepcx/harness_engineering and "Run the harness progression notebook in Colab"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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