Part 7/10:
Speed: Tasks can take 20 minutes or more, which might be impractical for time-sensitive workflows.
Stability: The platform occasionally crashes under the load of large data or complex tasks.
Factual Accuracy: Some outputs contain errors, pointing to ongoing issues with data validation.
Cost: High operational costs hover around $2 per task, potentially limiting scale for regular users.
Security: As autonomy increases, so do concerns about possible security vulnerabilities and the scope of AI decision-making.