AI agent vs chatbot: the difference that matters
A chatbot answers. An agent acts. The distinction is not how clever the model sounds, it is whether the system can call tools, change data in your business, and be stopped when it is wrong.
ReadJournal
Notes from
the build.
What we have learned putting AI into businesses that were already running. No predictions, no think pieces. Things we ran into and what we did about them.
Arabic AI: why dialect matters more than Modern Standard
A model that handles formal written Arabic will still fail a customer typing Lebanese. Nobody writes Modern Standard Arabic to a shop. If your assistant only handles MSA, it will be abandoned, and the failure is invisible in testing because the people testing it write formally.
ReadHow much does AI integration actually cost?
A single well-scoped AI workflow typically costs a few thousand dollars to build and tens of dollars a month to run. The build is the small number. The part that surprises people is the running cost, and the part that ruins projects is scope.
ReadRAG or fine-tuning? Almost always RAG
Use retrieval when the model needs to know your facts. Use fine-tuning when it needs to learn your format or behaviour. Most business problems are the first kind, which is why the answer is almost always retrieval.
ReadWhy your AI pilot stalled
AI pilots rarely fail because the model was not good enough. They fail because nobody defined what working meant, the wrong answers were invisible, the workflow chosen was not the expensive one, or the thing was never wired into how people actually work.
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