For the most part, I am an AI sceptic. My firm has had access to and beta tested every Google AI model since before the AI had a name (yes, well before Bard). We also have access to ChatGPT, Claude and locally run models on dedicated hardware. I'll save you the suspense, at the moment it's all mostly trash. Barely a proof of concept. Definitely not production ready, but there are a few exceptions I, personally, have found.

Gemini Pro is excellent at identifying and diagnosing sick garden plants if you take and upload a photos of the plants. Unfortunately, it still cannot do simple arithmetic. A simple SUM that any spreadsheet does automatically by just highlighting the cells, and somehow it was still off by one.

For software dev, the only one product we have found to be useful is Claude, BUT it really depends on the model. Haiku is a joke. Sonnet is not bad, if not bad is ~50% accuracy. Opus is fairly descent at building scaffolding that you can then correct and complete, but don't expect efficient code.

The only model we have ever tested that can deliver ALMOST fully functional code, reliably diagnose errors, and review code is Mythos/Fable. Genuinely not absolute shite, BUT that shit is extremely slow and outrageously expensive. I seriously doubt that your company is forking out the money for Claude Fable as their default model, and if they are, they must not care about ever making a profit.