You will get a production-ready AI agent system consultation and roadmap
Project details
You will get a clear AI agent system consultation, architecture blueprint, and implementation roadmap for your startup, SaaS product, or internal business workflow.
I help businesses move beyond simple prompt-based demos and design real AI agent systems that can connect with tools, APIs, databases, SaaS platforms, and cloud infrastructure. My focus is production-ready architecture: agent workflows, backend APIs, data flow, integrations, guardrails, observability, deployment planning, and scalable SaaS structure.
This project is ideal if you have an idea for an AI agent, AI copilot, automation system, internal AI tool, or SaaS platform but need a clear technical direction before building. You will receive a practical roadmap that explains what to build first, which tools and frameworks to use, what risks to avoid, and how to move from MVP to production.
I can support AI agent systems using modern stacks such as Next.js, React, Node.js, PostgreSQL, LangGraph, Mastra, OpenAI, Anthropic, AWS, Supabase, Vercel, and API integrations.
I help businesses move beyond simple prompt-based demos and design real AI agent systems that can connect with tools, APIs, databases, SaaS platforms, and cloud infrastructure. My focus is production-ready architecture: agent workflows, backend APIs, data flow, integrations, guardrails, observability, deployment planning, and scalable SaaS structure.
This project is ideal if you have an idea for an AI agent, AI copilot, automation system, internal AI tool, or SaaS platform but need a clear technical direction before building. You will receive a practical roadmap that explains what to build first, which tools and frameworks to use, what risks to avoid, and how to move from MVP to production.
I can support AI agent systems using modern stacks such as Next.js, React, Node.js, PostgreSQL, LangGraph, Mastra, OpenAI, Anthropic, AWS, Supabase, Vercel, and API integrations.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Content Creation, Natural Language UnderstandingAI Models
ChatGPT, OpenAI CodexWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,200
|
Advanced
$1,800
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 4 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Onur
AI Agent Engineer | SaaS Architect | Full Stack
Ankara, Turkey - 5:00 am local time
I build real AI products — not just demos, prompt wrappers, or simple API integrations. My focus is on building reliable, scalable, and maintainable systems that can work in real business environments.
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✦ WHAT I CAN HELP YOU BUILD
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▸ AI agent systems
▸ AI-powered SaaS platforms
▸ RAG and knowledge assistant systems
▸ Workflow automation tools
▸ Internal AI copilots
▸ Multi-agent systems
▸ AI-powered dashboards
▸ Backend APIs and workflow engines
▸ Multi-tenant SaaS platforms
▸ Cloud-ready full-stack applications
My work combines AI engineering, SaaS architecture, full-stack development, and cloud deployment.
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✦ AI ENGINEERING FOCUS
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I approach AI development with a production engineering mindset.
This means I focus not only on prompts, but on the complete system around the model:
▸ Agent architecture and orchestration
▸ Context engineering
▸ RAG pipelines with chunking, embeddings, hybrid search, reranking, and freshness
▸ Structured outputs, schema validation, repair loops, and fallback chains
▸ Function calling, tool contracts, argument validation, and idempotency
▸ Guardrails, loop budgets, tool budgets, and safe termination conditions
▸ Model routing, fallback logic, and degraded-mode user experience
▸ Evaluation systems with golden sets, regression tests, adversarial tests, and human review
▸ LLM observability with traces, tokens, latency, errors, cost, and drift tracking
▸ Safety against prompt injection, data leakage, and permission boundary failures
▸ Multi-tenant isolation and prevention of cross-user context contamination
I also understand deeper AI infrastructure tradeoffs such as prompt caching, semantic caching, KV cache behavior, prefill vs. decode latency, batching, quantization, speculative decoding, fine-tuning, RAG, distillation, and cost-quality-latency optimization.
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✦ AI AGENTS & AUTOMATION
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I can design and build agentic systems for:
▸ Business workflow automation
▸ Customer support agents
▸ Research agents
▸ Coding and software engineering agents
▸ Document processing agents
▸ Enterprise knowledge assistants
▸ Sales, operations, HR, finance, and project management automation
▸ Human-in-the-loop approval workflows
▸ Multi-agent task coordination
Frameworks and tools I work with:
▸ LangGraph
▸ LangChain JS / LangJS
▸ Mastra
▸ OpenAI API
▸ Claude API
▸ Gemini API
▸ Vector databases
▸ RAG pipelines
▸ Function calling and tool calling
▸ Structured output systems
▸ Agent tracing and evaluation
I also use and understand modern coding agent tools such as Claude Code, OpenAI Codex, Hermes, and OpenCode.
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✦ FULL-STACK SAAS DEVELOPMENT
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Frontend:
▸ Next.js
▸ React
▸ TypeScript
▸ Tailwind CSS
▸ shadcn/ui
▸ SaaS dashboards
▸ Admin panels
▸ Responsive web applications
Backend:
▸ Node.js
▸ TypeScript
▸ REST APIs
▸ PostgreSQL
▸ Drizzle / Prisma
▸ Webhooks
▸ Background jobs
▸ Event-driven workflows
▸ Modular backend architecture
Cloud and deployment:
▸ AWS
▸ Terraform
▸ Vercel
▸ Supabase
▸ Docker
▸ Serverless deployment
▸ CI/CD setup
▸ Production deployment
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✦ WHAT YOU CAN EXPECT
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When working with me, you get more than an LLM API integration.
You get a complete engineering approach with:
▸ Clear architecture
▸ Clean backend design
▸ Reliable agent workflows
▸ Scalable SaaS structure
▸ Strong database modeling
▸ Safe tool usage
▸ Evaluation and observability
▸ Cost-aware AI usage
▸ Production-ready project structure
▸ Cloud deployment support
If you are building an AI product, SaaS MVP, internal automation tool, RAG system, or agentic workflow platform, I can help you move from idea to production with a practical and scalable technical foundation.
Steps for completing your project
After purchasing the project, send requirements so Onur can start the project.
Delivery time starts when Onur receives requirements from you.
Onur works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Use Case Review
I will review your goals, users, current workflow, pain points, tools, data sources, and success metrics to define the best AI agent system direction.
Architecture & Workflow Design
I will design the agent structure, workflow logic, integrations, data flow, model usage, guardrails, and required backend/frontend components.