The article outlines a framework for developing AI solutions, emphasizing the importance of system integration, context search, traditional AI, and user design to create reliable and valuable products. It predicts that 2025 will see the proliferation of smaller AI-driven workflows in areas like customer care, legal support, and sales, rather than a single "killer app." The author encourages engineers and product managers to focus on creating value by defining business objectives, collecting and cleaning data, developing agentic workflows, testing with users, and creating feedback loops, while addressing risks such as bias and ethical issues.
Key takeaways:
- AI agents in 2025 will focus on integrating AI into enterprise workflows, overcoming challenges faced by early generative AI projects.
- Simple GPT wrappers are insufficient for enterprise needs due to lack of system integration, context, security, and user control.
- Chained AI models can create dynamic workflows by connecting multiple AI tools, addressing issues like system integration and context retrieval.
- Building AI solutions requires a focus on value creation, addressing risks, and following a structured framework for development and testing.