AI Agents & Automation Systems with Claude API & OpenAI | RAG, Copilots, Workflows

About this Gig

I build AI agents, copilots, and automation systems that actually work in production — not just demos. With hands-on experience building RAG pipelines, AI-powered advisors, and document intelligence systems using Claude API and OpenAI, I deliver AI solutions that solve real business problems. What I build: • AI agents that plan, reason, and execute multi-step tasks autonomously • Internal copilots that answer questions from your company's documents and data • RAG pipelines with vector databases for semantic search and conversational Q&A • AI-powered chatbots with tool use and function calling • Document intelligence systems that extract, analyze, and summarize at scale • Workflow automation using LLMs as reasoning engines My AI stack: Claude API (Anthropic), OpenAI GPT-4, LangChain, ChromaDB, pgvector, MCP servers, prompt engineering, and the Claude Agent SDK. I've built this in production: an Investment Advisor using GPT-4 for a Dubai-based fintech platform, and Covertly AI — a full document intelligence system with RAG pipelines, ChromaDB, and conversational Q&A. I understand the full pipeline from embeddings to retrieval to generation to deployment. Every project includes proper error handling, guardrails, cost optimization, and human-in-the-loop review where needed. LLMs are non-deterministic — I engineer for reliability.

Requirements

To build your AI agent or automation system, I'll need: 1) What problem should the AI solve? (e.g., answer questions from docs, automate a workflow, classify data) 2) What data sources will the AI work with? (documents, databases, APIs, CRM, etc.) 3) Preferred LLM provider (Claude, OpenAI, or I can recommend) 4) Where should this run? (web app, Slack bot, internal tool, API endpoint) 5) Any existing codebase or tech stack I should integrate with I'll review your requirements and propose an architecture before writing any code.

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