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    AI Agent Platform

    A production-grade AI Agent platform where autonomous agents can reason, plan, call external APIs, query vector databases, and execute multi-step tasks without constant human input. Built on LangChain/LangGraph with OpenAI or Claude as the LLM backbone.

    1K – 50Kusers supported
    $400 – $2,500/month infrastructure

    Architecture Diagram

    Interactive — hover over any node to see its role and description.

    UserReact UINext.jsAPI GatewayFastAPIAgent Orch.LangGraphLLMGPT-4o / ClaudeVector DBPineconePostgreSQLRedis CacheTask WorkerCelery + SQSUserFrontendAPIBackendAI / MLDatabaseCacheQueue

    Use Cases

    AI-powered sales outreach automation
    Document analysis and extraction pipelines
    Customer support agents with CRM integration
    Research assistants with web browsing capabilities
    Code review and DevOps automation agents

    Technology Stack

    frontend

    ReactNext.jsTypeScript

    backend

    PythonFastAPILangChainLangGraph

    database

    PostgreSQLPinecone (Vector DB)Redis

    infrastructure

    AWS EC2AWS SQSDockerCelery

    ai

    OpenAI GPT-4oClaude claude-sonnet-4-6WhisperEmbeddings

    Scalability Roadmap

    Stage 10 – 1,000 users· Single EC2 + RDS

    Single server deployment. One agent process, shared Redis on the same instance. Sufficient for MVP and early users.

    Stage 21K – 10K users· EC2 + RDS + Celery workers

    Separate worker pool with Celery. Auto-scaling group for API servers. Multi-AZ RDS for reliability.

    Stage 310K – 100K users· ECS Fargate + ElastiCache + Aurora

    Containerized agents on ECS Fargate. Aurora PostgreSQL for high throughput. ElastiCache Redis cluster.

    Stage 4100K+ users· Kubernetes + Aurora Global + Pinecone Enterprise

    Multi-region Kubernetes with dedicated agent pools per customer. Global Aurora read replicas. Pinecone Enterprise for low-latency vector search.

    Cost Breakdown

    Development Cost

    $15,000 – $40,000 (8–16 weeks)

    Infrastructure Cost

    $400 – $2,500/month depending on LLM API usage

    Maintenance Cost

    $2,000 – $5,000/month for updates, monitoring, model upgrades

    Security Considerations

    JWT-based authentication with refresh tokens and short expiry
    Per-tenant API key isolation with rate limiting per key
    All LLM prompts sanitized to prevent prompt injection attacks
    Agent tool permissions scoped per user role (RBAC)
    Audit log of all agent actions stored in PostgreSQL
    PII detection before sending data to external LLM APIs

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