<ul><li>Agentforce was introduced in October 2024 by Help to provide quick answers and improve customer support experiences.</li><li>Agentforce was built to deliver instant, relevant answers and reduce search time for customers.</li><li>The AI agent was fed with data from various sources to build a strong knowledge base.</li><li>Guardrails were set to ensure Agentforce answered within the scope and directed users to official resources when needed.</li><li>Starting small and scaling gradually helped in refining Agentforce's capabilities and knowledge base.</li><li>Continuous learning and iteration are essential for AI agents to evolve and improve performance.</li><li>Focus on guiding conversations rather than restricting topics completely for AI agents to be helpful.</li><li>AI agents function best when they complement human expertise rather than replace it.</li><li>Real-world usage and feedback play a crucial role in enhancing AI agents' performance and capabilities.</li><li>Data refinement, response testing, and iterative improvements are key to setting up effective AI agents.</li></ul>

3 Tips to Set Up Your AI Agent for Better Performance

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