SaaS Multi-Purpose AI Agent Tool - Polsia.com / Claude Managed Agents / Using Paperclip
Budget: $250 – $750 SGD
Build similar to polsia.com using paperclip if can , I want a full-fledged SaaS platform that lets users spin up their own AI agents on demand. The core product must cover all business pillars most people ask of an agent today—emails, cs, website builder, lead gen —and expose them through an intuitive, subscription-ready web app.
Scope
• End-to-end architecture: multi-tenant backend, secure user management, billing hooks, and role-based dashboards
• Modular agent framework: plug-and-play skills so small businesses, enterprises, and everyday consumers can toggle features without touching code
• LLM integration: choose and abstract providers (OpenAI, Anthropic, open-source models) to keep costs flexible
• Data pipelines: real-time chat history, CRM contacts, calendar events or any JSON/CSV a user uploads
• Admin analytics: usage, retention, and performance metrics
Expected Deliverables
1. Technical architecture diagram and tech-stack rationale
2. MVP web application (React or similar) with Stripe or Paddle billing ready for launch
3. Dockerised backend (FastAPI / Node / Django—your recommendation) with REST & WebSocket endpoints
4. Prompt/agent templates covering customer support, lead gen, and generic automation tasks
5. Documentation and a short Loom walkthrough
Acceptance Criteria
• A new tenant can register, create an agent, and receive meaningful responses in under five minutes
• All three use cases work out of the box without manual code edits
• Billing event fires successfully on plan upgrade/downgrade
• Source code passes linting/tests and runs with a single docker-compose up
If this build excites you and you can demonstrate previous SaaS or AI agent experience, let’s chat about timelines and milestones.
Scope
• End-to-end architecture: multi-tenant backend, secure user management, billing hooks, and role-based dashboards
• Modular agent framework: plug-and-play skills so small businesses, enterprises, and everyday consumers can toggle features without touching code
• LLM integration: choose and abstract providers (OpenAI, Anthropic, open-source models) to keep costs flexible
• Data pipelines: real-time chat history, CRM contacts, calendar events or any JSON/CSV a user uploads
• Admin analytics: usage, retention, and performance metrics
Expected Deliverables
1. Technical architecture diagram and tech-stack rationale
2. MVP web application (React or similar) with Stripe or Paddle billing ready for launch
3. Dockerised backend (FastAPI / Node / Django—your recommendation) with REST & WebSocket endpoints
4. Prompt/agent templates covering customer support, lead gen, and generic automation tasks
5. Documentation and a short Loom walkthrough
Acceptance Criteria
• A new tenant can register, create an agent, and receive meaningful responses in under five minutes
• All three use cases work out of the box without manual code edits
• Billing event fires successfully on plan upgrade/downgrade
• Source code passes linting/tests and runs with a single docker-compose up
If this build excites you and you can demonstrate previous SaaS or AI agent experience, let’s chat about timelines and milestones.