Don't really see a problem here - it's quite realistic for junior devs to build something useful out of Ollama/Open AI APIs.
Example. Well we could build that, but in order to monetize it, it would cost xxx monthly which would require a gross sales increase of xxx just to break even. You may not know gross profit margin, but your exec does. So focus on costs along with strong technical reasons as to why something is ridiculous.
Programmers hate being asked “how much time will this take”. This needs to be utilized and flipped around - like your crazy ass idea will consume 5000 core programmer hours which will set back the follow priorities and we can’t see a use case.
Realistic examples of small, useful AI projects a junior dev could do in a sprint:
1) check for spelling/grammar mistakes on company website 2) summarise transcripts of zoom calls 3) scan codebase for misleading comments 4) generate mermaid diagrams from terraform 5) Scan Jira for near-duplicates on a backlog and add a label
None of these require data science teams to get involved.
that’s a lot of cash saved. basically as good as cash earned, when you’re getting funding rounds of cash.