To force an LLM to generate structured output, you can use the AI SDK's generateObject function with a specific schema and generation mode. Here's how you can do it:
- First, you'll need to import the necessary functions and libraries:
import { generateObject } from 'ai';
import { z } from 'zod';
import { openai } from '@ai-sdk/openai';- Then, you can use the
generateObjectfunction with a defined schema and thetoolChoice: 'required'setting to force the LLM to generate structured output 12:
const { object } = await generateObject({
model: openai('gpt-4-turbo', { structuredOutputs: true }),
schema: z.object({
// Define your schema here
name: z.string(),
age: z.number(),
hobbies: z.array(z.string()),
}),
prompt: 'Generate a profile for a fictional person',
toolChoice: 'required',
});- You can also specify a generation mode to control how the structured data is generated 2:
const { object } = await generateObject({
model: yourModel,
schema: yourSchema,
prompt: 'Your prompt here',
generationMode: 'tool', // or 'json' or 'auto'
});The available generation modes are:
auto: The provider chooses the best mode for the model (default).tool: A tool with the JSON schema as parameters is provided.json: The response format is set to JSON when supported by the provider.
- For additional guidance to the LLM, you can provide a schema name and description 2:
const { object } = await generateObject({
model: yourModel,
schemaName: 'PersonProfile',
schemaDescription: 'A profile of a fictional person',
schema: yourSchema,
prompt: 'Generate a profile for a fictional person',
});By using these techniques, you can force the LLM to generate structured output that conforms to your specified schema. This approach ensures type safety and correctness in the generated data.
Develop UX prototype from your Business requirements. Project Name ImageAuthAI — An intelligent system for authenticating AI generated/inpainted images. Description The creation of an artificial intelligence (AI) capable of analyzing images and determining whether they were created using generative models (e.g., GANs, DALL·E, Stable diffusion, Midjourney e.t.c.) or are authentic photos/drawings. The system can be implemented as a website and/or mobile application, providing users with a simple and fast tool for verifying image authenticity.
Project Objective Main Objective To develop a reliable and accurate tool for detecting AI-generated images, which will help users: Verify image authenticity. Combat the spread of misinformation and fake news. Protect copyrights and prevent plagiarism. Ensure transparency on social media, news platforms, and other sites. Additional Objective Increase public awareness of the existence and capabilities of generative AI. Promote the development of ethical standards in AI-generated content usage. Business Process Market Research Target Audience Professionals and companies: Journalists, media companies, marketers who need to verify the authenticity of visual content. Social media and platforms: For integrating image verification tools. Creative industries: Artists and designers for protecting copyrights. Educational institutions: For teaching and research purposes. Competitor Analysis Research existing tools for detecting AI-generated images, identifying their strengths and weaknesses, and determining the unique advantages of your project.
Monetization Revenue Model Subscription: Monthly or annual fee for access to advanced features and higher usage limits. Freemium: Free basic access with the option to purchase premium features, like increased max image size or detecting parts of image that are altered Advertising: Display ads for free users. API Fees: Charges for using the API by third-party developers and companies. Enterprise Solutions: Special offerings for large organizations with custom terms.
Marketing Strategy Promotion SEO and Content Marketing: Creating a blog with useful articles on fake image detection and the role of AI. Social Media: Active presence on platforms (Facebook, Twitter, LinkedIn) to attract the audience. Partnerships: Collaborating with media companies, educational institutions, and social media platforms. Advertising: Online ads through Google Ads, Facebook Ads, and other channels. Branding We strive to create a brand that will be associated with reliability, accuracy and innovation in the field of image recognition. This will allow us to stand out from the competition and strengthen our position in the market of technologies related to visual information analysis. Our goal is to provide users with products and services of the highest quality that will contribute to the development of modern technologies in this field."
Operational Activity Project Team Developers: Machine learning experts, frontend and backend developers. Designers: UX/UI designers to create a user-friendly interface. Marketers: Digital marketing and promotion specialists. Managers: Team coordination and project management. Analysts: Evaluating model performance and user experience. Planning and Management Using project management methodologies (Agile, Scrum) for flexible development and timely updates.
Based on the business requirements for ImageAuthAI, I'll create a UX prototype for the main page of the web application. This prototype will include the key features and reflect the business objectives and target audience.
main-page.tsx
This UX prototype for ImageAuthAI includes the following features:
- A clean, modern interface with a gradient background and centered content.
- A header with the application name and a brief description.
- Two input methods for images: file upload and URL input, implemented using tabs.
- An image preview area that displays the uploaded or submitted image.
- An "Analyze Image" button to trigger the AI analysis.
- A results card that shows whether the image is AI-generated or authentic, along with a confidence percentage.
- Responsive design that adapts to different screen sizes.
- A footer with copyright information and links to important pages.
This prototype addresses the main objectives of the project:
- It provides a simple and fast tool for verifying image authenticity.
- The interface is designed to be user-friendly for various target audiences, including professionals, social media users, and educational institutions.
- The results are presented clearly, helping to combat the spread of misinformation and fake news.
- The design is suitable for both website and mobile application implementations.
To further develop this prototype, consider the following enhancements:
- Implement actual image upload and analysis functionality.
- Add user authentication for premium features.
- Include more detailed analysis results, such as highlighting specific areas of the image that may have been altered.
- Integrate social sharing options to help increase awareness of AI-generated content.
- Add a blog section for content marketing and SEO purposes.
- Implement a pricing page to showcase different subscription tiers.
This prototype serves as a solid foundation for the ImageAuthAI project, aligning with the business requirements and objectives while providing a user-friendly interface for image authentication.