The useful business applications of language models are narrow and specific: draft this kind of document, pull these fields out of that kind of email, summarise this thread, triage this queue. Narrow tasks are where the technology is reliable.
General assistants that can do anything tend to do nothing anyone depends on.
For anything with consequences, the right pattern is draft-and-approve rather than act-and-notify. The assistant removes the blank page; the person remains accountable.
Custom software from A$1,500 for a focused assistant. Ongoing cost includes model usage, which we will size against your expected volume before you commit.
Whichever fits the task, the data-handling requirements and the budget. That is a decision made per project rather than a fixed allegiance.
Model usage is per-request, so it scales with volume. We estimate it against your real expected usage rather than a headline rate.
Design for it: draft-and-approve for anything consequential, and log everything so mistakes are visible rather than silent.
Tell us what you are trying to do. If something off the shelf already does it, or the job is smaller than you think, we will say so.
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