How We Built an AI Layer That Understands an Entire Agency Workspace (Not Just One Module)
📰 Dev.to AI
Building an AI layer that understands an entire agency workspace requires integrating multiple tools and models
Action Steps
- Identify the key tools and modules that need to be integrated
- Design a unified data model that can accommodate data from multiple sources
- Develop a custom AI model that can learn from the integrated data
- Integrate the AI model with the agency operating system
Who Needs to Know This
The development team, particularly AI engineers and software engineers, benefit from this approach as it enables them to create a more comprehensive and integrated AI solution that can understand the entire agency workspace
Key Insight
💡 Integrating multiple tools and models is crucial for building a comprehensive AI layer
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🤖 AI layer that understands entire agency workspace, not just one module! 💡
DeepCamp AI