Deploying A Claude Artifact Web Application

Send me relevant projects you've done plus how quickly you can finish this project (estimate) ---- I'm looking for an experienced full-stack developer with deep API, OAuth, AI agent, and SaaS deployment experience. I already have a functioning prototype built in Claude along with wireframes, UI references, and a detailed PDF outlining exactly how the integration layer should work. The immediate goal is to deploy the application to my GoDaddy hosting account and prepare it for production use. The larger goal is to continue working together to build out a highly scalable AI-powered email marketing automation platform. What the Product Does The product is an AI email marketing agent designed to turn an email list into a completely hands-off revenue channel. The core value proposition is: Connect your email provider, activate a recurring AI campaign, and forget about it. The AI writes the emails, applies the templates, schedules the campaigns, and sends them automatically. The user should never need to manually create campaigns after setup. Example User Flow User signs up User connects their email marketing platform through API or OAuth User selects campaign frequency (weekly, bi-weekly, monthly, etc.) AI researches the business context AI generates email campaign content AI applies email templates AI schedules and sends campaigns automatically Process repeats indefinitely without user involvement The objective is to create a true "set it and forget it" email marketing system. Current Status I already have: Functional Claude-built application/prototype Wireframes UI references Detailed PDF documentation Integration workflow documentation I need an experienced developer to review the existing build, deploy it, and help prepare it for launch. Immediate Scope Review existing codebase Deploy application to GoDaddy hosting Configure production environment Set up database and backend services Configure domain, SSL, and hosting infrastructure Test all API connections Resolve deployment issues Improve scalability and reliability Critical Requirement: Autonomous API Integrations This is the most important part of the project. I am specifically looking for someone who has experience building AI agents that can create and manage integrations autonomously. The long-term vision is an AI agent capable of: Creating API integrations without manual coding each time Managing OAuth authentication flows Connecting to CRMs automatically Connecting to email marketing providers automatically Mapping fields between systems Configuring integrations with minimal or no human intervention Supporting a growing ecosystem of third-party tools Examples include integrations with: HubSpot Mailchimp ActiveCampaign Klaviyo ConvertKit Salesforce GoHighLevel Constant Contact Other CRM and email marketing platforms I've included a PDF that outlines how I want the integration architecture and user experience to work. Ideal Experience I'm looking for someone with proven experience in: SaaS applications AI agents LLM-powered workflows API integrations OAuth 2.0 CRM integrations Email marketing platform integrations Workflow automation Node.js, Python, Next.js, or similar modern stacks Production deployments Cloud infrastructure Budget Initial deployment project: $500 If the project goes well, I expect ongoing monthly work for: Maintenance New integrations AI agent enhancements Feature development Infrastructure scaling When Applying Please send: Similar SaaS products you've built Examples of API/OAuth integrations you've implemented AI agent or automation projects you've worked on CRM or email marketing integrations you've built Your recommended architecture for scaling this platform Any experience creating autonomous integration systems If you've built products where AI interacts directly with third-party APIs, manages OAuth flows, creates automations, or connects multiple SaaS platforms together, I'd especially like to see those examples.