What's included

• Complete AI Application

  A fully working AI application built using modern tools (OpenAI API, Python, Node.js). This includes all agreed features, model integrations, and a reliable user interface or API layer, depending on project needs.

• AI Model Integration

  Implementation and configuration of AI models for the required tasks, including text generation, classification, summarisation, translation, semantic search, and custom workflows. This also includes support for multimodal features such as image understanding (vision), document analysis, embeddings, audio transcription, and other advanced AI capabilities, depending on project needs.

• Backend and API Development

  A secure and reliable backend built in Node.js or Python, including all required API endpoints, routing, authentication, and data handling. This layer manages communication with AI models, processes user input, stores application data if needed, and ensures consistent, predictable behaviour across the entire AI system.

• Data Processing and Validation

  All necessary logic for preparing data before it is sent to AI models, including cleaning, normalisation, validation, formatting, and error-handling. This ensures that model inputs are consistent, secure, and well-structured, leading to accurate, stable, and repeatable outputs across the entire AI application.

• User Interface (If Applicable)

  A clean, responsive user interface built with React or Next.js, allowing users to interact with the AI features intuitively. This includes well-structured input forms, real-time responses, clear error messages, loading states, and a layout that works smoothly across desktop and mobile devices.

• Deployment and Hosting

  Full deployment of the AI application to your chosen hosting platform (such as Vercel, Render, AWS, Azure, or a custom server). This includes environment configuration, secure management of API keys, build setup, version control integration, and post-deployment testing to ensure the application runs smoothly in the live environment.

• Documentation and Handover

  Comprehensive technical documentation outlining the system architecture, setup instructions, environment configuration, API endpoints, and details of all AI integrations. This includes guidance for ongoing maintenance, troubleshooting, and extending the application, as well as a complete handover to ensure your team can manage the system confidently.