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Comment by cpard

6 hours ago

There’s an emerging pattern in agentic systems and this project is a great example.

A deterministic layer like a compiler or generator of code with some kind of IR that the LLM generates and feeds it with.

I feel we will be seeing this more and more in the near future.

When I first saw Claude generating PPT decks by writing Python code instead of making the XML directly, it was sort of an "aha moment" for me. This seems to be the path for many things. It also feels slightly limiting, and like a hack LONG term, but 100% correct approach for a while.

  • can you save that python and regenrate that exact powerpoint later ? maybe check it into repo isntead of powerpoint to genrate variations.

A well designed intermediary enables both validation and control over the output independent of the AI. This changes the interaction model between human and AI from delegation to collaboration.

  • also user interaction afterwards -- if can be frustrating if the only way the user can interact with the chart is to chat with the agent again (simple spec allows easy UI interaction!)