When does an AI agent actually learn from experience? →
Current answer · Explainer + follow-up Brief
A stored lesson can matter only if the system receives it when it applies.
The useful question is not how much an agent can hold, but which information it needs for this job—and whether it uses it when it matters.
Open question · no dedicated Atlas answer yet
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This question covers instructions, documents, retrieved facts and unfinished work. Learning asks whether experience changes a method; Trust asks whether the resulting answer supports a decision.
A possible investigation · not scheduled or tested
These articles explain parts of the problem. They do not amount to a dedicated answer to this question.
See a concrete set of task, state and evidence files. The recorded handoff does not compare general context strategies.
One supervised workflow, continued in a fresh session after a planned change of assignment. No measured reliability or time advantage.
See why storing an experience, retrieving it and benefiting from it are separate steps.
Four sessions on four fictional cases; both conditions met all 32 checks. Autonomous learning and long-term memory were not tested.
Question versions describe its framing, published contributions and place in the map. Article versions keep their own evidence and history.
Atlas now gives every current article a question home and opens seven further questions with a scope and related reading. Open means no dedicated Atlas answer yet. No new research finding or test is claimed, and existing article-based follows keep their scope.
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