I will build your ai agent and multi agent pipeline or rag system


Acerca de este Servicio
I build production-grade AI agents that don't just answer questions, but also reason, plan, act, use tools, and even correct themselves when things go wrong.
For 6+ years, I have built production-grade agentic AI systems, including LangGraph multi-agent pipelines, RAG-based copilots, and autonomous n8n workflow agents, among other systems, at Polar Bear Systems and MurtazAI. No demos, but actual production-grade systems that run every day, not just answer questions, and act, not just plan.
WHAT I BUILD
- LangGraph and CrewAI multi-agent pipelines
- RAG and GraphRAG knowledge retrieval systems
- n8n agentic workflow automation
- WhatsApp / Telegram AI assistants
- LLM-based triage, support, and decision engines
- Financial and crypto trading agents
- Data ingestion and AI classification pipelines
WHY IT MATTERS
Most AI projects fail, and most "integrations" are just an LLM call with no planning, no tools, and no error recovery. I build agents that complete the task, not just begin it, with state, tools, memory, and self-correction mechanisms.
YOUR DATA IS SAFE
Strictly confidential. NDA available upon request.
Tell me what you want your AI to do, and I'll build it.
Conoce a Ali Murtaza
Vibe Coding Terminal Coding
- DePakistán
- Miembro desdejul 2023
- Responde aprox. en:1 hora
- Última entrega1 año
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FAQ
What is the difference between a chatbot and an AI agent?
A chatbot responds to messages. An agent plans, uses tools, takes actions, searches the web, writes files, calls APIs, queries databases, and iterates until a multi-step task is fully complete. I build agents, not just chatbots.
Which LLM do you use, OpenAI or Claude?
Either, or both. I work with OpenAI GPT-4o, Claude Sonnet (via API or AWS Bedrock), Google Gemini, and open-source models via Hugging Face and Together AI.
Can the agent connect to my existing systems and APIs?
Yes. I build tool integrations for any REST API, database (PostgreSQL, MySQL, MongoDB), WhatsApp, Gmail, Google Drive, Slack, CRM platforms, or custom data source.
Can you build a RAG system for my documents?
Yes. I build RAG pipelines that ingest PDFs, Word documents, web pages, spreadsheets, and databases into a vector store (Pinecone, FAISS, or Weaviate), then wire them to an agent that retrieves and reasons over your knowledge base accurately.
How do I monitor what the agent is doing at each step?
Standard and Premium packages include LangSmith observability, a full trace of every agent decision, tool call, LLM prompt, and response. You get complete visibility into agent behaviour, latency, and costs.
What if the agent makes a wrong decision or fails mid-task?
I design fallback and self-correction behaviour into every agent. When an agent is uncertain, it can escalate to a human, return a safe default, send an alert, or retry with a different strategy, depending on your requirements.
Do you work with n8n for workflow automation?
Yes, I have 6+ years of building agentic frameworks on n8n at Polar Bear Systems. I can build n8n workflows that incorporate LLM decision nodes, API calls, conditional logic, and data transformation.
