Prompt
A text instruction that a user inputs to a large language model to guide it in generating a response. It is the core input form for AI interaction.
Core Facts
Timeline (last 90 days)
In simulated interview scenarios, the prompts usually include the role persona, dialogue goals, pressure-point settings, and information that must not be revealed, and candidates cannot see this content.
The quality ceiling of a prompt depends on the quality of the context provided by the user.
The prompts that performed outstandingly in the article's tests include the 3-day nudge, scope swap, contract termination fee clause explainer, and rate increase email.
When the numbers conflict with the outcomes, what should be adjusted is the mapping from buckets to actions, not the prompt, because the latter only moves the numbers around.
If the number of attempts per accepted task drifts above 2, it means the prompt is guessing rather than working, and no amount of free capacity can fix that.
If the retrieval system returns wrong information, optimizing the prompt is basically useless.
A Prompt is the instruction text that a user or system inputs to a large model, determining how the model understands the task and the quality of its output.
Sharing AI agents is far more complex than sharing ordinary prompts, because the former requires version management, access control and rollback mechanisms, similar to deploying a software service.
Structure written into prompts is soft, and the model may treat the checking step as already completed and continue executing; therefore checks must sit outside the model, becoming a runtime primitive or a mandatory checkpoint in the script.
Hosted APIs mean that prompts must leave the local environment, and providers may use them for training, manual review, and the log retention period is usually unclear.
40 more timeline events
All Facts (20)
A prompt refers to any text that a user sends to an AI, including questions or descriptions.
70%UnverifiedIn the field of AI safety, misalignment refers to a model's actual behavior deviating from the intentions of its designers or users, with specification gaming and reward hacking being related concepts.
60%UnverifiedIn simulated interview scenarios, the prompts usually include the role persona, dialogue goals, pressure-point settings, and information that must not be revealed, and candidates cannot see this content.
50%UnverifiedThe quality ceiling of a prompt depends on the quality of the context provided by the user.
50%UnverifiedThe prompts that performed outstandingly in the article's tests include the 3-day nudge, scope swap, contract termination fee clause explainer, and rate increase email.
50%UnverifiedWhen the numbers conflict with the outcomes, what should be adjusted is the mapping from buckets to actions, not the prompt, because the latter only moves the numbers around.
50%UnverifiedIf the number of attempts per accepted task drifts above 2, it means the prompt is guessing rather than working, and no amount of free capacity can fix that.
50%UnverifiedIf the retrieval system returns wrong information, optimizing the prompt is basically useless.
50%UnverifiedA Prompt is the instruction text that a user or system inputs to a large model, determining how the model understands the task and the quality of its output.
50%UnverifiedSharing AI agents is far more complex than sharing ordinary prompts, because the former requires version management, access control and rollback mechanisms, similar to deploying a software service.
50%UnverifiedStructure written into prompts is soft, and the model may treat the checking step as already completed and continue executing; therefore checks must sit outside the model, becoming a runtime primitive or a mandatory checkpoint in the script.
50%UnverifiedHosted APIs mean that prompts must leave the local environment, and providers may use them for training, manual review, and the log retention period is usually unclear.
50%UnverifiedPrompts in hosted API scenarios often contain system instructions, few-shot examples, retrieved internal document fragments, tool-calling schemas, and database records; a single prompt may simultaneously expose business logic, user privacy, and internal knowledge base structure.
50%UnverifiedIn hosted AI API scenarios, the actual running model version and the provider-side visibility of prompts are almost never verified by developers.
50%UnverifiedA prompt is one-off, solving a single problem; prompt engineering is a process, solving a class of problems.
50%UnverifiedPure prompts cannot be engineered; using them yourself is fine, but making them into a product for hundreds or thousands of people to use does not work—there is no version management, no problem tracing, and it cannot withstand large-scale batch tasks.
50%UnverifiedAn effective prompt should contain only new facts that have changed since the last call, relevant paths, and the recent diff — not the entire repository.
50%UnverifiedA verifiable prompt should clearly specify four things: what the task is, which source material to refer to, what format the output should be in, and how to handle missing information.
50%UnverifiedPrompts address the question of how to make the model understand intent.
50%UnverifiedThe developer stuffed the complete raw JSON logs of every past action directly into the prompt, claiming that the improvement in reasoning capability was remarkable.
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