SaaS Multi-Purpose AI Agent Tool - Polsia.com / Claude Managed Agents / Using Paperclip

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@alizain721

Polsia’s managed agents model is exactly the right blueprint — Paperclip can handle orchestration, but the real win is a clean agent abstraction so nontechnical users can enable email, CS, website builder, and lead gen without code. The hidden challenge isn’t just LLM plumbing. It’s making skills modular and provider agnostic while keeping tenant onboarding under five minutes and billing seamless. I built CrowdAxis, a FastAPI SaaS that ingests multiple data sources, runs real time scoring, and ships Stripe subscription flows and admin tooling — similar infrastructure and constraints. Planned approach 1. Deliver architecture diagram and stack rationale for a FastAPI backend, React frontend, LLM adapter layer, and billing hooks 2. Implement docker ready backend with REST and WebSocket endpoints, tenant auth and role based dashboards, and a plug and play skill registry 3. Build React app with Stripe or Paddle integration, agent creation wizard, and sample prompt templates 4. Provide tests, linting, documentation, and a short Loom walkthrough Quick questions: do you want Paperclip mandatory or optional? Which LLMs first Claude OpenAI or self hosted models? Stripe or Paddle preference? I’ll prepare the architecture diagram and a 2 week MVP milestone plan once you tell me LLM and billing choices.

@Herculesz

Hi, this is a broad AI SaaS build, and the important part is not the chat layer but the tenant-safe orchestration behind it. The real engineering risk is keeping agent state, uploaded business data, and cross-channel actions isolated and reliable while still making agent creation feel instant. I’ve built production AI systems with workflow dashboards, automation loops, and business-data integrations, and I usually structure these platforms as separate layers for tenant management, agent runtime, tool execution, and analytics. For your MVP, FastAPI with REST and WebSocket endpoints is a reasonable backend direction because it keeps real-time agent interaction and admin observability straightforward. The closest prior work is AI-Driven Marketing Suite Development -- 2 for modular AI workflows and business automation, plus HubSpot CRM Implementation & Interactive Senior Living Website for lead pipelines and CRM-connected user flows. I’d recommend separating ingestion, memory, and response generation so uploaded CSV/JSON, chat history, contacts, and calendar events do not become one brittle runtime path. I typically add provider abstraction, confidence thresholds, fallback routing, and audit logs early so OpenAI, Anthropic, or other models can be swapped without rewriting the product. This kind of system should be designed for long-term production use, not just a demo with prompts attached to a UI. Thanks, Hercules

@skalogir

Hi there, I understand you need a Polsia-style multi-tenant SaaS platform where users can create AI agents on demand for email, customer support, website building, lead generation, and automation, with billing, dashboards, agent templates, analytics, and Dockerized deployment. I have strong experience building SaaS platforms with React, FastAPI/Node, Stripe/Paddle billing, role-based access, WebSocket chat, LLM provider abstraction, uploaded data pipelines, CRM/calendar integrations, and modular agent workflows. I will design the architecture, build the MVP app, implement tenant onboarding, agent creation, subscription events, plug-and-play skills, prompt templates, admin analytics, tests, documentation, and a Loom-style handover so it runs with docker-compose. Q1: Should the MVP prioritize small-business agents or enterprise-style workspaces first? Q2: Do you prefer Stripe or Paddle for subscriptions? Q3: Should “paperclip” be used as the main builder framework, or only if it fits the architecture? Best regards, Stratos

@mughiraaa

Hello, This project aligns closely with my experience in SaaS platforms, multi tenant systems, AI integrations, and subscription based applications. I have worked on systems involving user management, role based access, billing flows, and real time data handling where reliability and scalability are essential. I am confident we can create a platform where users can spin up AI agents, manage data sources, and operate business functions like email handling, customer support, and lead generation from a single dashboard. My focus would be on clear architecture, predictable performance, and smooth onboarding for new tenants. I would like to schedule a brief discussion to understand your product vision, key agent features, and priority use cases so I can propose the best approach and timeline. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@RusianD

❤️Hi there ❤️ As a skilled engineer, I can do your project perfect. Please check my reviews to verify my skills. To be honest, developers with many comments are agents of agencies or outsourcing companies. Therefore, I believe I am the most suitable candidate for your project. I have a few ideas for your project, and I would like to confirm via private chat whether they align with your thoughts. Warm Regards, Ruslan

@Visharaa2024

ello, What you're describing is much bigger than a typical AI chatbot platform—it's an Agent-as-a-Service ecosystem where users can deploy AI employees on demand. I can build a SaaS platform similar to Polsia, leveraging Paperclip where appropriate, with a multi-tenant architecture that allows businesses to create, manage, and scale AI agents without writing code. The platform will include secure user management, role-based access, subscription billing via Stripe or Paddle, and a modular agent framework supporting customer support, email automation, lead generation, website building, and future business workflows. To keep costs flexible and avoid vendor lock-in, I'll implement an LLM abstraction layer that supports OpenAI, Anthropic, and open-source models. My recommended stack is React for the frontend and FastAPI for a Dockerized backend with REST and WebSocket APIs. Users will be able to connect CRM data, calendars, chat history, and CSV/JSON uploads, giving agents the context needed to provide meaningful results. An admin analytics dashboard will track usage, retention, performance, and model costs. Beyond delivering an MVP, I'll focus on creating a scalable foundation where new agent skills can be added as plug-and-play modules. The end result will be a launch-ready SaaS platform that enables users to register, create an AI agent, and start generating value within minutes.

@KrisuTechkul

Hi, Krishna here from Delhi - we are a team of 20+ engineers and have completed more than 300 projects with 4.7 rating. We have gone through your project requirements and would like to schedule a discussion call please. Being an AI enthusiast and a seasoned developer, I am excited about your project that aims to bring AI closer to businesses of all sizes and types, enabling them to leverage AI features without the complexity of coding. My hands-on experience with various facets of AI, including machine learning, deep learning, natural language processing, and computer vision align strongly with your project's needs. I understand the power an AI-driven SaaS tool like yours can have on businesses and is something I've been building throughout my career. In particular, my proficiency in multi-tenant architecture and secure user management will ensure that your platform is robust, scalable and highly secure. The modular agent framework is another area where I could bring much value. My devotion towards crafting scalable AI solutions and familiarity with diverse ML algorithms would enable the easy integration of OpenAI, Anthropic, or other providers with your system. Additionally, my ability to handle data pipelines efficiently will help in managing real-time chat history, CRM contacts, and any JSON/CSV uploads smoothly.

@engruhulajom

Hello Dear! Good Day! Hope you are doing fine. This is Ruhul Ajom Sagor. I am an expert "Web Developer" with 10+ years of working experience in PHP, HTML5, CSS3, JavaScript, jQuery, Bootstrap, MySql and different Frameworks. I have completed my B.S.C Engineering in Computer Science and Engineering (CSE) from BUET. Hire me and you don't have to worry about your website problems again! I'll add value to your projects by creating astonishing designs and code with high impact and optimized user interaction that leads to bigger conversions. WHAT PROBLEMS CAN I HELP YOU SOLVE? • Custom Websites Using PHP and Frameworks • e-Commerce Websites (Woo-Commerce and Shopify) • Custom WordPress themes • On-Page and Off-Page SEO • WordPress themes Customization • Database Modeling/Development • WordPress migrations and upgrades • Responsive Coding (Make your website compatible with: smartphones, tablets, desktops) • Websites speed and loading time improvements • Cross-browser compatibility • PSD to HTML to WordPress conversion • HTML5/CSS3/jQuery websites based on Bootstrap I love challenges, talking to my clients, and meeting others’ standards as well as expectations. I will be discussing everything in detail, giving my full advice and delivering through best of my skills. You are cordially welcome to discuss your project. Thank You! Best Regards, Ruhul Ajom

@ShaikhAneesa

Hi there, I understand you want to build a full-fledged, multi-tenant SaaS platform similar to Polsia (leveraging Paperclip components if possible) that enables users to instantly spin up modular AI agents for emails, customer support, website building, and lead generation. My approach will be to architect a robust, multi-tenant Python backend (FastAPI) paired with a responsive React frontend to manage your dynamic agent builder canvas. I will structure a highly normalized PostgreSQL database to enforce strict tenant isolation, role-based access, and real-time data pipelines for chat histories and uploaded file schemas with absolute integrity. By abstracting the LLM layer, I will implement plug-and-play skills that let your users seamlessly toggle between OpenAI, Anthropic (Claude), and open-source models while relying on centralized prompt templates for rapid deployment. The entire system will include strict error handling for API limits and connection timeouts, integrating Stripe/Paddle webhooks to handle plan upgrades or downgrades automatically under a single docker-compose runtime. Do you have a specific multi-tenancy model in mind for your PostgreSQL database layer (such as a shared database using tenant isolation columns, or completely isolated database schemas per client for enterprise-grade data separation)? I’m ready to start immediately. Warm Regards, Aneesa.

@steveng96

Hello, I am available now. I have read your project description carefully and I understand what you want. 300% Confidence!!! I have 7+ years of experience in Claude (Anthropic), SaaS. I have completed similar projects. Please contact me. Best regards, Steven

@davidl298

Hello, With over 10 years of experience in Artificial Intelligence, AI hardware/software, and Claude Code, I am confident in my ability to deliver a top-notch solution for your SaaS Multi-Purpose AI Agent Tool project. I have a strong background in AI development and web development, making me well-equipped to handle the complexities of this project. I have carefully reviewed your project requirements and believe that I can provide a professional and efficient solution that meets all of your needs. I am experienced in building end-to-end architectures, modular frameworks, and data pipelines, as well as integrating with various AI providers. I would love to discuss this project further with you. Please feel free to connect with me in the chat so we can explore how I can help bring your vision to life. Thanks, David

@oliverm298

Hello, Hello! My name is Oliver, and I have extensive experience building intelligent systems, including AI agents, and SaaS platforms, which makes me a perfect fit for your project. I specialize in transforming complex ideas into production-ready applications that tackle real business problems. With an ?? & ?????????? ?? background, my expertise covers everything you need from Large Language Model (LLM) integration to AI Chatbot development. I am adept at integrating models from providers like OpenAI and Hugging Face, which will keep the project's costs flexible. When it comes to full stack web development, I have got you covered there as well. I am fluent in frontend technologies such as React.js (React), which is perfect for building the subscription-ready web app you require. To cater to your back-end needs, I am well-versed in Node.js, Django (recommended as per your project description), and FastAPI. My track record also includes creating multi-tenant backend systems for SaaS applications. Lastly, my game development experience exposes me to the world of procedural generation, a skill that can come in handy while generating agent-templates for your users' specific needs. My approach-aligned mindset means that not only will I comfortably meet your acceptance criteria; but I'll also ensure a scalable architecture designed to grow alongside your users' needs. Let us connect and discuss how we can turn your vision into reality! Thanks!

@AngelLikeLena

❤️ Hello there! ❤️ I have extensive experience in Web, Mobile, and AI development, and have helped many clients successfully bring their ideas to life through quality work, clear communication, and reliable support. I'd love to connect and learn more about your project. I'd be happy to help and contribute my skills to achieve the results you're looking for. Looking forward to hearing from you. Kind regards, Lena

@Kashifscode

BLUEPRINT Hi, good day. I understand this is a multi-tenant SaaS AI agent platform where the core challenge is not just UI build but designing a scalable agent orchestration system with modular skills, billing-driven access control, and abstracted LLM routing similar to platforms like polsia.com. I have experience building SaaS architectures with FastAPI/Node backends, multi-tenant RBAC systems, Stripe/Paddle billing flows, and LLM integrations (OpenAI/Anthropic + fallback routing layers) combined with agent-style modular prompt frameworks and WebSocket-based real-time chat systems. My approach would be to design a clean multi-tenant architecture with isolated user contexts, build a Dockerised backend exposing REST + WebSocket agent endpoints, implement a plug-and-play “skills registry” for email/CS/lead-gen/web tasks, integrate LLM provider abstraction for cost control, and connect Stripe billing events to dynamically enable/disable agent capabilities per subscription tier. I’d be happy to discuss how we can structure the MVP so tenants can spin up working agents within minutes.

@jeremiasg17

Hello! I’ve built a similar SaaS platform that allowed users to create and manage AI agents on demand, resulting in a 30% increase in user engagement through streamlined automation. I can share the architecture and implementation details in chat if you’re interested. For your project, I’d approach it with a robust multi-tenant architecture using FastAPI for the backend, ensuring a smooth user experience and easy billing integration with Stripe. I’m particularly curious about your preferred approach for LLM integration—are you leaning towards a specific provider or keeping options open for flexibility? If you’re open, I can share my previous build and we can see if it aligns with your vision. Looking forward to your thoughts!

@mehdifalahi

Hi, I am an experienced full-stack developer with advanced Django knowledge and long-term software delivery experience. I can help with backend business logic, API endpoints, authentication, and performance-focused improvements. To strengthen my Freelancer profile and resume, I am currently accepting selected projects at a fair and competitive rate. You can expect transparent communication and high-quality execution.

@SherozKhalid9

Hi, nice to meet you! I have experience building SaaS products and AI-powered platforms, and your vision of creating a service similar to Polsia with modular AI agents is exactly the type of project I enjoy working on. I can help you design and develop a scalable multi-tenant platform where users can launch their own AI agents for customer support, email management, lead generation, website assistance, and business automation without writing code. What I'll deliver: ✔ Multi-tenant architecture with secure authentication and role-based dashboards ✔ Modular agent framework with plug-and-play skills ✔ Integration with OpenAI, Anthropic, and open-source models through a flexible LLM layer ✔ Stripe or Paddle billing with upgrade/downgrade webhooks ✔ Real-time chat history plus CSV/JSON imports and business data pipelines ✔ Dockerized backend with REST APIs and WebSocket support ✔ Admin analytics for usage, retention, and agent performance ✔ Ready-to-use agent templates for support, lead generation, and automation workflows I recommend React and FastAPI for a fast, scalable, and AI-friendly foundation. A few quick questions: Do you already have the UI designs, or should I handle the complete UX/UI as well? Should CRM and email integrations be included in the MVP phase? I'm confident I can deliver an MVP where users can register, launch an agent, and start receiving meaningful responses within minutes. Best regards, Khalid

@giffordbenm

Hi, "AI agents on demand" is the hardest part of this build because multi-tenant agent isolation and LLM provider abstraction have to be right from day one or the whole platform leaks cost and context between users. At Vercel and Workato, I built and shipped SaaS platforms at this exact layer: multi-tenant backends, role-based dashboards, billing event hooks, and modular workflow engines that non-technical users could configure without touching code. For a Polsia-style build I would use FastAPI with async WebSocket support for the agent runtime, React for the frontend, Stripe for subscription billing, and an LLM abstraction layer that lets you swap OpenAI, Anthropic, or open-source models from config. Agent templates for customer support, lead gen, and generic automation would ship as plug-and-play modules. The full stack would be Dockerised and launchable with a single docker-compose up. All five deliverables in your spec are covered: architecture diagram, MVP web app, Dockerised backend, agent prompt templates, and a Loom walkthrough on completion. A new tenant can be registered, an agent created, and a live response returned in under five minutes. Best regards, Benjamin