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Add a json explaining the story using below schema.\n\n```json\n{\n  \"$schema\": \"http://json-schema.org/draft-07/schema#\",\n  \"type\": \"object\",\n  \"properties\": {\n    \"prompt\": {\n      \"type\": \"string\",\n      \"description\": \"A detailed instruction or command for generating content, specifying the nature and requirements of the content to be created.\"\n    },\n    \"title\": {\n      \"type\": \"string\",\n      \"description\": \"The title of the content or project for which the prompt is issued, serving as a brief identifier or name.\"\n    }\n  },\n  \"required\": [\"prompt\", \"title\"]\n}\n```\n\nAdd a `story.txt` plain text file that contains the actual story.\n\nNow run `process_stories.py` script to generate the story related content inside the angular app.\n\n## Development Guide\n\nUse `pnpm` to install angular dependencies.\n\n## Deployment Guide\n\nRun the following commands before deploying to ensure clean code.\n\n```bash\ncd typefaster\npnpm run pretty\nng lint --fix\n```\n\nAll runs must be completed without errors before deployment and code committing.\n\nTerraform state bucket is managed outside of the program. 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