[xms17189]

How do you distinguish durable user preferences from transient screen context before an agent turns recorded activity into an automation? I'm especially curious whether each inferred memory keeps provenance and an expiry or confidence signal so stale behavior does not become a permanent rule.

[louis030195]

yes we keep track of memories confidence level and timestamp,

we found that in order to find automation opportunities it's better to have agents segment, classify (for example personal vs pro), enrich (which customers/people are related to this workflow) and organize the data first, then it's much easier to find repetitive tasks