Dzone iconDzoneAug 13, 2026 ~1 min source read

AI Assist vs AI Complete: The Real Gap in Most AI Workflows Today

During brainstorming, people drafted end-to-end process flow diagrams and started working on development, using all the recent available models and platforms to build their product. A few weeks ago, I participated in a 24-hour AI hackathon where we built a product using AI.

AI Assist vs AI Complete: The Real Gap in Most AI Workflows Today

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A few weeks ago, I participated in a 24-hour AI hackathon where we built a product using AI.

During brainstorming, people drafted end-to-end process flow diagrams and started working on development, using all the recent available models and platforms to build their product.

Necessary tools were provided, a large number of engineers participated eagerly, and a few business folks also joined to bring their ideas into a real-world product using AI.

Building the complete brief

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The useful part

A few weeks ago, I participated in a 24-hour AI hackathon where we built a product using AI. Necessary tools were provided, a large number of engineers participated eagerly, and a few business folks also joined to bring their ideas into a real-world product using AI. During brainstorming, people drafted end-to-end process flow diagrams and started working on development, using all the recent available models and platforms to build their product.

How it works

  • As I watched each team present their results, I observed that they couldn't automate the end-to-end process flow.
  • Most of the solutions followed the same pattern: they did something in one product and took the output to another product, and the output of that product went somewhere else to finish the loop.
  • What they had planned during brainstorming didn't turn out to be a complete, end-to-end product.

Details worth keeping

When the development time window ended, it was time for presentations.

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