I keep finding more and more usecases for Q3.6 27b (same league) and the best performance is, when answers to my question is already in the context.

The moment I'm trying something open-ended or ambitious, Claude/ChatGPT clearly take you to the goal quicker.

For things, where there's a way to build a knowledgebase though, the local llm definitely can be a true contender. Plus, having a big context and no worries about filling it over and over - you can get quite far.

I'm writing this, literally in between cooking a pasta, that the local llm ordered products for me online. I've built a grocery shopping skill, so that it roughly knows what I have in fridge (losely), my last 10 representative orders (general preferences plus rich info about shops and skus around me) and actual real-time in stock info. The last part has been my personal pet peeve for every product that promised cooking ingredient delivery (that is not packaged specifically for that).

This is what has been promised to us by every big tech company with an agent, and now a local llms actually solved that for me fully.