AI Explored Building AI Agents: A Proven Process
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Nov 4, 2025 
Sara Davison, Co-founder of AI Build Lab and an agentic AI expert, sheds light on the transformative power of AI agents for businesses. She clarifies the differences between agents and chatbots, emphasizing their autonomy. The conversation dives into the importance of deep workflow discovery and the iterative process of building trust with AI. Sara also discusses the innovative Document Generation use case and the role of multi-agent teams, highlighting the need for human oversight and continuous maintenance to ensure effectiveness.
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Agents Are Different Than Chatbots
- Many people conflate AI agents with chatbots or automations, but they occupy different points on an interaction spectrum.
- Agents require different design, deployment, and safety considerations than simple assistants or automations.
Agency Means Autonomy
- Agency means autonomy: agents can reason, plan, and execute tasks without constant human input.
- Agents feel like delegating to a team member rather than driving an assistant interaction.
Start With Workflow Discovery
- Do a deep workflow analysis before building agents to capture real-world practices and gaps.
- Map who’s involved, what breaks, and the tacit skills that make people effective to inform agent design.