# Repair Structured State Data with AI

Source: https://openflow.run/en/templates/repair-structured-state-data-with-ai/
Content language: en
Template revision: 9018120e802d4de0a097610157c565df858c0871

AI

Ask a model for state and city data and repair an answer that does not match the required JSON format.

[Use in Open Flow](https://console.openflow.run/flows?importUrl=https%3A%2F%2Fraw.githubusercontent.com%2Foomol-lab%2Fawesome-workflow-templates%2F9018120e802d4de0a097610157c565df858c0871%2Fworkflows%2Frepair-structured-state-data-with-ai%2Ftemplates%2Frepair-structured-state-data-with-ai.openflow.json)

*   [Open Flow JSON](https://raw.githubusercontent.com/oomol-lab/awesome-workflow-templates/9018120e802d4de0a097610157c565df858c0871/workflows/repair-structured-state-data-with-ai/templates/repair-structured-state-data-with-ai.openflow.json)
*   [n8n JSON](https://raw.githubusercontent.com/oomol-lab/awesome-workflow-templates/9018120e802d4de0a097610157c565df858c0871/workflows/repair-structured-state-data-with-ai/templates/repair-structured-state-data-with-ai.n8n.json)

![Repair Structured State Data with AI workflow in Open Flow](https://openflow.run/_astro/preview-light.DW5DOtx1_VtAy1.webp)

Ask a model for state and city data and repair an answer that does not match the required JSON format.

## Setup and use

Configure the language model on both model nodes. Run manually to ask for the five largest US states by area and the three largest cities and populations for each. Both calls use gpt-4o-mini-2024-07-18; configure a compatible replacement before its [January 14, 2027 shutdown](https://developers.openai.com/api/docs/deprecations/).

## Behavior

The workflow validates the requested JSON structure. If the first answer is invalid, a second model call receives the malformed answer and error and attempts one repair. An invalid repair fails the run. Models can return inaccurate or outdated geographic data even when the format is valid; verify facts against an authoritative source.

Inspiration & credits

## Changes to the source

*   Correct the source schema’s invalid city property definitions and represent all five requested states as an array with three cities each.
*   Make the example prompt and model choice explicit. Open Flow checks the output in Code and uses a separate conditional repair step.

Adapted from [Automatic output parser example](https://github.com/Zie619/n8n-workflows/blob/ae8cf6dc5b873cbb4f74587aa9180ed3a9f70682/workflows/Manual/0323_Manual_Stickynote_Process_Triggered.json) in [Zie619/n8n-workflows](https://github.com/Zie619/n8n-workflows). The source export does not identify a separate template author or license.

The collection’s [MIT notice](https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/LICENSE) is pinned at a later revision. This is the collection notice at that revision; it does not establish a separate original template author’s license. Our changes are listed above; see [repository licensing](https://github.com/oomol-lab/awesome-workflow-templates/blob/9018120e802d4de0a097610157c565df858c0871/README.md#licensing).

> MIT License
> 
> Copyright (c) 2025 Zie619
> 
> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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## What you’ll need

*   A configured language model connection

*   ai
*   structured output
*   examples

[View on GitHub](https://github.com/oomol-lab/awesome-workflow-templates/blob/9018120e802d4de0a097610157c565df858c0871/workflows/repair-structured-state-data-with-ai/README.md)