AI in marketing
Name the task first.
The model comes later, if at all.
These AI in marketing articles from Alchemy IBS Private Limited start from the workflow, not the model. They cover how to choose a bounded task, when a fixed rule should decide and a language model should only explain, and what a fallback looks like when generation fails. The test throughout: is the work still done to standard?
Start with the task, not the tool.
"Add AI to our marketing" has no input, no output and no way to tell whether it worked. "Summarise these approved documents and link every claim to its source" has all three.
The articles help you write the second kind of sentence before anyone chooses a model. Once the task is defined, the right mechanism is usually obvious: a fixed rule, a model with checks, or a person.
What the articles cover.
Every article in this topic is listed below. Each one ends with something you can try on your own enquiries or pages this week.
Where AI belongs is a workflow question.
Start with the work a system needs to perform, then decide whether a language model, a fixed rule or a person should handle it.
Keep the rules clear. Let the model explain.
When an application combines calculations and generated language, separating their responsibilities makes the result easier to test and understand.
No stories match this topic.
Rules score. The model explains.
In a career assessment we built, fixed rules calculate the result and AI only puts it into words, so the same answers always produce the same score. The report leads to a conversation, not a verdict. That separation is the subject of the second article.
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