Tool Use - AI Conversations The Henry Ford Approach To Building Modern AI (ft Minki Jung)
Apr 15, 2025
Join Minki Jung, an insightful AI engineer and author of the Agile Manifesto for Flow Engineering, as she dives into the future of AI workflows. She draws fascinating parallels between Henry Ford’s assembly line and modern AI systems, emphasizing the need for structured workflows over mere prompt crafting. Discover practical techniques for breaking down complex AI tasks and learn when to leverage large language models versus traditional programming. Minki also offers tips on creating effective datasets and enhancing AI’s memory for better performance.
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Flow Engineering Defined
- Flow engineering improves AI by orchestrating multiple predefined steps, not just one-shot prompt calls.
- It differs from autonomous agents by focusing on detailed workflow engineering rather than abstract cognitive architecture.
Decompose Like Henry Ford
- Decompose workflows obsessively to find the optimal task granularity and flow.
- Embed skills LLMs lack, like judgment, into the workflow for better results.
7 Steps to Decompose Tasks
- Simulate human task performance and write how-to steps before automating.
- Test and refine those steps by following them without AI, then embed memory and parallelize where possible.