Latent Space: The AI Engineer Podcast Agents @ Work: Lindy.ai
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Nov 15, 2024 
Flo Crivello, founder of Lindy.ai and former Uber tech specialist, shares insights on transforming AI workflows. He discusses the evolution from Lindy 1.0's complex interfaces to the user-friendly Lindy 2.0, emphasizing visual workflow design. The conversation dives into the challenges of AI customer support, innovations in evaluation tools, and the intense competition in the AI space. Flo also touches on the impact of remote work on company culture and the role of community in thriving within vertical and horizontal AI solutions.
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Lindy.ai's Shift to Structured Workflows
- Lindy.ai's initial version, focused on large prompts and numerous tools, proved unreliable.
- They realized limiting agent choices through structured workflows increases reliability and usability.
Constrain Language Models
- Constrain language models for reliability and control in AI engineering.
- Use traditional "if-this-then-that" software for everything outside the model's minimal viable task.
Limitations of Text Interfaces
- Florent Crivello initially favored text interfaces but now acknowledges their limitations.
- Users often provide vague or nonsensical instructions, making GUIs more effective for most users.
