How agents can learn from interaction traces
A survey published on June 27, 2026, discusses how agents in production turn interaction traces into durable capabilities, from self-evolution to meta-evolution.
Source: Survey mapeia agentes que evoluem com a experiência (openreview.net). Text prepared with AI from this source.
What happened and what to do
The survey, published on June 27, 2026, examines production agents that turn interaction traces into durable capabilities. Its scope ranges from self-evolution to meta-evolution and includes a related list on the topic.
A company could apply these ideas by building infrastructure to record interactions, evaluate behavioral changes, and control which learnings can be incorporated into agents. This could include trace pipelines, quality metrics, review, and rollback mechanisms, without allowing each interaction to change production systems unchecked.
How the consultancy can help
Wendelmaques can assess how your company collects and uses traces, define an evaluation and control architecture, and deliver an implementation sized to your infrastructure, with operation according to the agreed scope.
Next step
Send a short description of your case to receive a scoped proposal for evaluating or implementing this workflow.
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