ChatGPT and other LLM bullshit engines are, for the most part, very bad at Home Assistant and produce a lot of plausible-looking, non-functional configurations. HA updates often and the majority of available examples that LLMs can pull from are old and/or from people posting non-working configs here or on Reddit. Deciphering and correcting LLM slop often requires a higher level of knowledge than it would take to just create the config yourself from scratch.
Issues:
Your condition references the forecast attribute of a weather entity which was removed over a year ago. You need to get that data by referencing the response variable you retrieved with the weather.get_forecasts action.
The way you have set up that loop will always result in the final comparison rendering false. If you want to extract the value out of the loop you would need to use a namespace. However, the loop isn’t necessary and is less efficient than using built-in filters.
In addition to everything Didgeridrew recommended, I suggest you consider using a Trigger-based Template Binary instead of an automation that sets an Input Boolean.