Zuntria Automation

byOlamide Emmanuel Ojo

ZUNTRIA AI – COMPLETE MASTER BUILD SPECIFICATION (COPY & SEND TO DEVELOPER) PROJECT NAME Zuntria AI PROJECT MISSION Build a global AI-powered SaaS platform that allows users to create AI workers, automate tasks, manage workflows, connect external services, and run parts of their personal or business operations automatically. The platform should feel like an “AI Operating System” rather than a chatbot. Core principle: Users tell Zuntria what they want done. Zuntria creates, manages, and executes the work through AI agents and automation workflows. ⸻ 1. PRODUCT OVERVIEW The platform consists of: 1. AI Chat Assistant Users communicate with AI naturally. 2. AI Agents Digital workers with specific roles. 3. Workflow Automation Trigger → Condition → Action systems. 4. Integrations Email, calendars, APIs, webhooks. 5. Analytics Usage, activity, workflow performance. 6. Billing Free plan and paid subscriptions. ⸻ 2. TECH STACK Frontend * Next.js (App Router) * React * Tailwind CSS * ShadCN UI * Zustand State Management * Framer Motion * React Query Backend * NestJS (preferred) or Express * TypeScript * PostgreSQL * Prisma ORM * Redis * BullMQ AI * OpenAI API * Anthropic Claude API (optional) Infrastructure Frontend * Vercel Backend * AWS * Render * Railway Database * PostgreSQL * Supabase or Neon Queue System * Upstash Redis ⸻ 3. USER ROLES Free User Can: * Use AI chat * Create 1 agent * Create 3 workflows * Limited messages ⸻ Pro User Can: * Unlimited AI usage * Unlimited workflows * Multiple agents * Integrations ⸻ Business User Can: * Teams * Collaboration * Advanced automations * API access ⸻ 4. LANDING PAGE Section 1 – Hero Headline: “Your AI Workforce Runs While You Sleep” Subheadline: “Create AI workers, automate workflows, and eliminate repetitive work.” Buttons: * Start Free * Book Demo ⸻ Section 2 – Problem Show: * Too much manual work * Too many apps * Too much administration ⸻ Section 3 – Solution Show: * AI Chat * AI Agents * Workflow Automation ⸻ Section 4 – Features AI Chat Natural language interaction. AI Agents Digital workers. Workflows Business automation. Integrations Connect external systems. Analytics Track results. Team Collaboration For businesses. ⸻ Section 5 – Use Cases Customer Support Auto replies. HR Interview scheduling. Sales Lead follow-up. Marketing Content generation. Administration Reports and reminders. ⸻ Section 6 – Pricing Free Pro Business ⸻ Section 7 – Final CTA “Build Your AI Workforce Today” ⸻ 5. APPLICATION STRUCTURE Sidebar Navigation * Dashboard * Chat * Agents * Workflows * Automations * Integrations * Analytics * Billing * Settings ⸻ 6. DASHBOARD PAGE Show: AI Usage Messages used. Active Agents Current agents. Active Workflows Automation count. Recent Activity Execution history. System Status Healthy / warnings. ⸻ 7. AI CHAT PAGE ChatGPT-style interface. Features: Streaming Responses Real-time generation. Save As Agent Turn conversation into AI worker. Save As Workflow Turn conversation into automation. Run Task Execute immediately. ⸻ 8. AGENT BUILDER Users create AI workers. Fields: Name Example: Support Agent Role Example: Customer Support Instructions Long prompt. Tools Allowed integrations. Memory On / Off ⸻ 9. AGENT TYPES Support Agent Handles support requests. Sales Agent Handles outreach. Marketing Agent Creates content. HR Agent Processes candidates. Scheduler Agent Manages appointments. Operations Agent Handles admin tasks. ⸻ 10. WORKFLOW BUILDER Structure: Trigger → Condition → Action Example: Trigger: New Email Condition: Contains Invoice Action: Reply Automatically ⸻ Workflow Triggers Time-Based Scheduled. Email Received Inbox monitoring. Form Submission Website forms. Webhook External systems. Manual User initiated. ⸻ Workflow Actions Send Email Generate AI Response Create Task Call API Update Database Notify User ⸻ 11. AUTOMATION ENGINE Purpose: Execute workflows automatically. ⸻ Queue System Redis + BullMQ. Handles: * Email jobs * API jobs * Scheduled jobs * AI tasks ⸻ Retry Logic Automatic retries. Failure logs. Notifications. ⸻ 12. INTEGRATIONS Phase 1: Gmail Read and send emails. Google Calendar Schedule events. Webhooks Connect external systems. ⸻ Phase 2: Slack Notion HubSpot Trello Microsoft Outlook ⸻ 13. AI ORCHESTRATOR Core intelligence layer. Responsibilities: Detect User Intent Question Task Workflow Agent ⸻ Route Request To: * Chat system * Workflow engine * Agent engine ⸻ Return Result Response or execution. ⸻ 14. DATABASE STRUCTURE Users Fields: * id * email * password_hash * plan * created_at ⸻ Agents Fields: * id * user_id * name * role * config_json * created_at ⸻ Workflows Fields: * id * user_id * trigger * condition * action * active ⸻ Tasks Fields: * id * workflow_id * status * logs * created_at ⸻ Messages Fields: * id * user_id * content * response * created_at ⸻ Integrations Fields: * id * user_id * provider * access_token * refresh_token ⸻ 15. API ENDPOINTS Authentication POST /auth/signup POST /auth/login POST /auth/logout GET /auth/me ⸻ Chat POST /ai/chat GET /ai/history ⸻ Agents POST /agents/create GET /agents/list GET /agents/:id PUT /agents/:id DELETE /agents/:id POST /agents/run ⸻ Workflows POST /workflows/create GET /workflows/list PUT /workflows/:id DELETE /workflows/:id POST /workflows/execute ⸻ Automations GET /automations/logs POST /automations/run ⸻ Integrations POST /integrations/connect POST /integrations/disconnect GET /integrations/list ⸻ Billing POST /billing/create-checkout POST /billing/webhook GET /billing/status ⸻ 16. SECURITY Must include: JWT Authentication Password Hashing bcrypt. Rate Limiting Prevent abuse. CSRF Protection Input Validation API Logging Environment Variables Never expose secrets. ⸻ 17. BILLING Provider: Stripe Plans: ⸻ Free * Limited AI messages * 1 agent * 3 workflows ⸻ Pro (£19–£39/month) * Unlimited messages * Unlimited workflows * Integrations ⸻ Business (£99+/month) * Teams * Advanced automations * API access ⸻ 18. ANALYTICS Track: AI Usage Workflow Executions Automation Success Rate User Activity Subscription Metrics ⸻ 19. DEPLOYMENT Frontend: Vercel Backend: AWS or Render Database: PostgreSQL Queue: Redis Monitoring: Sentry UptimeRobot ⸻ 20. DEVELOPMENT PHASES Phase 1 Build: * Authentication * Landing page * AI chat * Dashboard ⸻ Phase 2 Build: * Agent system * Workflow system * Database ⸻ Phase 3 Build: * Automation engine * Queue workers * Integrations ⸻ Phase 4 Build: * Billing * Analytics * Optimisation ⸻ 21. VERSION 2 (AFTER TRACTION) Add: * Agent marketplace * Workflow marketplace * Team collaboration * Mobile app * Advanced memory * Voice interface ⸻ 22. SUCCESS METRIC The platform should evolve from: AI Chat Tool → AI Agent Platform → Business Operating System Goal: Users rely on Zuntria daily because it automates work, saves time, and becomes part of their operational infrastructure.