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Salesforce researchers improved an AI agent's task completion rate from 43.5% to 93% by optimizing its reasoning and planning logic rather than retraining the underlying foundation model. This approach demonstrates that significant performance gains in agentic workflows can be achieved through architectural adjustments, offering a more efficient path for deploying advanced AI capabilities without the computational cost of model updates.
Salesforce researchers took an AI agent from finishing 43.5% of browser tasks to 93% without touching the model
Salesforce researchers took an AI agent from finishing 43.5% of browser tasks to 93% without touching the model VentureBeat
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