AI automation ideas that save real time (and the ones that don't)
Most automation effort goes into impressive-looking projects that save twenty minutes a month. Here's where the actual hours are.
Read →Practical AI for marketing work: what it genuinely does well, what it doesn't, and how to tell the difference before you build on it.
10 posts on AI.
Most automation effort goes into impressive-looking projects that save twenty minutes a month. Here's where the actual hours are.
Read →Google doesn't penalise AI content for being AI-generated. It penalises unhelpful content. The distinction matters more than the panic suggests.
Read →The word 'agent' is doing a lot of marketing work. Here's the useful definition, and how to build something that actually holds up.
Read →Tokens, context windows and why your bill isn't what you expected. How to model cost before committing to a build.
Read →I use both. Here's the honest comparison, including where each one gets painful, and which I'd choose for a given job.
Read →Skip the prompt libraries. Six principles that consistently improve output, with examples from real marketing work.
Read →I use AI daily and I've watched it make several things measurably worse. Here's where it doesn't belong, from experience.
Read →A week of 401s, silent failures and one genuinely embarrassing naming collision. What actually went wrong building the audit tool, in order.
Read →Ranking on Google and being cited by ChatGPT are different problems. Here's the distinction, and what I implemented when I rebuilt askismaeel.space.
Read →Eight modules, one webhook, and a Claude API call. A walkthrough of the automation behind the free audit tool, including what it costs to run.
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