What does research say about adjusting your own training?
A meta-analysis compared autoregulated load prescription, where loads are adjusted from effort or speed, with standardized fixed loads. For one-repetition-max strength the pooled difference was 2.07 kg (95% CI from minus 0.32 to 4.46 kg), which was not statistically significant (p = 0.09). That means the review did not find a clear winner. It did not test AI, and it does not prove the two methods are equal.
Can an AI-generated plan be good?
It can be a useful starting point, and a bad plan can come from any source. We found no controlled evidence on AI plans, so check them yourself:
- Does it fit the days you can train?
- Is the volume sensible for your level?
- Does it say how and when to progress?
- Can you swap an exercise that hurts or that you cannot do?
What makes a program worth following?
A good program has a clear structure, progression you can follow and room to change things. If you cannot see why a day is built the way it is, you cannot fix it when something goes wrong.
Why does being able to edit matter?
Real weeks change. You miss a day, travel, or get a sore joint. A plan you can edit lets you adapt without dropping the structure, and a log tells you whether the change worked.
How do you decide?
If you want a quick starting point, use a ready-made plan and edit it. If you know what you want, build your own. In both cases, log every set and decide when to add load yourself.
In Roarer you build your own plan or copy a ready-made program and edit it freely. You decide when to raise the load, and your charts show whether it is working.