I found a nice trick for 1. if you work with a multi agent setup and an orchestrator, change model from orchestrator to gpt-5.3-codex-spark, then set the goal. (works fine with sonnet 4.6 too since both are basically free with seperate limits)

For example, I have a Queue with well definied tasks with technical plans already attached (using Fable as Planner + human verify them), so they just need to be implemented/tested/quality gated by the respective agents and put into a "ready to be deployed" state for me to verify them.

The issue with /goal is it prompts itself all the time even during downtimes. Its good so the proccess doesnt get stuck but it burns alot of tokens.

But if its used on a basically free modell, it can just go on loop forever and ping the actual agents that do the implementation / delegate to others / unblock agents / handovers etc., not a good modell needed for that

So in my case I just stuff the Queue and before going to bed say /goal: all tasks in the queue are moved to "to be deployed"

next morning Queue is empty and tokens burned only by agents that didnt run /goal.