Data curation and agent autonomy: what to test
A post published on September 23, 2025 describes LIMI: 78 selected demonstrations scored 73.5% on AgencyBench, outperforming models trained on 10,000 samples.
Source: LIMI estuda curadoria de dados para autonomia de agentes (x.com). Text prepared with AI from this source.
What happened and what to do
In a post dated September 23, 2025, LIMI is described as using 78 selected demonstrations and reporting 73.5% on AgencyBench, outperforming models trained on 10,000 samples. The post argues that strategic curation, more than data volume, can drive agent autonomy.
For a company, the practical question is whether better-selected examples improve performance on tasks that matter in its operations. A team can organize representative demonstrations, define quality criteria, and compare agent versions in controlled evaluations, tracking successes, errors, and failure cases in a dashboard. This provides evidence for deciding where to invest in data and adjustments, without assuming that more samples are always better.
How the consultancy can help
Wendelmaques can diagnose the available tasks and data, define an evaluation plan, and scope the implementation of an agent curation, testing, and monitoring pipeline on the company's infrastructure.
Next step
Send a short description of your agent, its tasks, and available data to receive a scoped proposal for diagnosis and implementation.
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