CoolDeep AI Digest

The article explains how Claude 4.8 differs from earlier versions by no longer inferring intent from vague prompts; it executes exactly what is written, making specificity essential for quality output. The author distills Anthropic’s 31‑page prompting guide into ten actionable rules. Rule 1 advises naming the desired output format rather than the task, such as requesting a table with risk ratings instead of a generic review. Rule 2 recommends explicitly capping response length to control verbosity. Rule 3 suggests converting negative constraints into positive directives, like asking for plain language a teenager can read aloud. Rule 4 urges turning soft requests into concrete action chains, specifying each step and its parameters. Rule 5 highlights the need to force web‑search usage, as Claude 4.8 calls fewer tools by default, and to verify claims with multiple sources. Rule 6 recommends feeding the model samples of your own voice to emulate tone and rhythm. Rule 7 encourages adding “Go beyond the basics” to push creative tasks past minimal outputs. Rule 8 reveals that reasoning is not automatic; appending “Think before answering (maximum reasoning)” triggers deeper processing. Rule 9 suggests converting frequently used prompts into reusable skills to save effort. Rule 10 ties everything together: spell out every detail—output, order, length, tone, format—because the model will not fill gaps. The core theme is that looser prompting now yields poorer results, while precise instructions yield predictable, high‑quality responses. The author urges readers to adopt three immediate practices: add the reasoning trigger, replace one negative instruction with a positive one, and define output format upfront, testing them on routine tasks like email cleanup or document summarization to experience the improvement.