Use ChatGPT to read a job posting and phrase real experience against it, without inventing metrics that collapse at interview.
Claude frameworks for LinkedIn content, inbound leads, offers and storytelling, with each prompt written out in full.
Prompts for the work that recurs every week: summarising threads, drafting replies, turning rough notes into something a colleague can read.
Writing prompts built around a constraint rather than a topic, so there is something to push against when the page is blank.
Eighteen prompts that ask for something concrete about how you study, because explaining a method is what exposes where it is actually vague.
Stitch reinterprets a whole screen when a prompt is vague. The wording that keeps a layout stable, with examples of exactly what breaks it.
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Practical writing about AI tools — what they do, where they fall over and whether the paid tier is worth it.
Written to still be useful next year
These are explainers and walk-throughs, not news. Where a post depends on a price, a limit or a version number, it says so in the text rather than leaving you to find out it has moved.
Every post has a name on it
The byline is a link to that writer’s other posts and to what they actually do. Nothing here is published anonymously.
Reading times are counted
Counted from the body of the post at 220 words a minute — the same rate the news desk uses. A post with no body to count shows no estimate rather than a guessed one.
“Featured” is a curation, not a ranking
It is the weight an editor set on a post. The sort menu says so, because a reader has no way to know that from the label alone.
Filters that admit when they are empty
Every count is measured with your other filters already applied, so the number beside an option is what you will actually get. Options that cannot narrow anything are not offered.
Updates are rewrites, not touch-ups
When something changes enough to matter, the post is rewritten and re-dated. A post that has only had a typo fixed keeps its original date.
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