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16 prompts
A guardrail template that scopes an autonomous coding agent's permissions and forces honest status reporting, reducing reward hacking behavior.
A command code that makes the model predict the most likely way a plan goes wrong before you commit to it, whenever a message ends in /FAILHOW.
A command code you paste once at the start of a chat so that any message ending in /ATTACK gets argued against as hard as the model honestly can, instead of getting agreement.
A command code that makes ChatGPT or Claude point out the assumptions and gaps you have not stated out loud whenever a message ends in /HOLES.
A command code that makes the model state its honest confidence level, high, medium or low, and what would change it, whenever a message ends in /ODDS.
A command code that makes the model argue the strongest possible case for the opposite of your position whenever a message ends in /STEELMAN.
A command code that makes the model cut the fluff and explain why something actually matters whenever a message ends in /SOWHAT.
A command code that makes the model drop the hedging and give the blunt version of its answer whenever a message ends in /PLAINLY.
A reusable set of global / custom instructions to paste once for a Claude agent (e.g. Cowork): it makes every session read your context files first, ask clarifying questions, show a plan before acting…
A ChatGPT prompt that turns the model into a prompt generator, producing 10 prompts for any task.
A NotebookLM prompt that turns your notebook into a source-grounded expert that answers questions only from the uploaded materials.
How to build a production-ready machine learning pipeline, from data collection to model deployment.
A blueprint for building a world-class team, from culture-fit interviews to performance reviews.
The complete guide to starting, growing, and monetizing a niche newsletter in 2026.
A framework for ensuring data quality, security, and compliance across the organization.