// SERVICE MODULE: AI AGENT DEVELOPMENT
🤖 AI Agent Development Services
I design and build AI agents that go beyond chat — autonomous systems that plan multi-step work, call your tools and APIs, verify their own output, and complete real business tasks. As an AI developer for businesses, I develop AI agents professionally at micro1 and build custom AI solutions and agentic workflows with LangGraph and n8n.
⚠ The Problem
Most businesses use AI as a fancy autocomplete. The real value appears when AI can execute processes end-to-end — researching, deciding, calling systems, and reporting back — without a human driving every step. Building that reliably is hard: naive agents loop forever, hallucinate tool inputs, and fail silently.
✓ The Solution
I build production-grade agents with explicit state machines (LangGraph), constrained tool schemas, retry and self-correction loops, and observability baked in. Every agent ships with guardrails: input validation, output checks, cost limits, and fallbacks — informed by my LLM red-teaming background (Sentinel AI).
// Technologies Used
// What You Get
- ▸Agent architecture design (state graph, tools, memory)
- ▸Custom tool/API integrations for your systems
- ▸Guardrails, evaluation suite, and cost controls
- ▸FastAPI backend with documented endpoints
- ▸Deployment (Docker/AWS) and handover documentation
// Related Work
Sentinel AI: LLM Red Teaming Framework
A human-centric AI safety system designed to evaluate and improve the robustness of Large Language Models (LLMs) through adversarial attacks, alignment checks, and safety mechanisms.
HireOnix AI
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// Frequently Asked Questions
?What can an AI agent actually do for my business?
An AI agent can execute multi-step processes autonomously: qualify and respond to leads, triage support tickets, research and summarize information, keep systems in sync, or run internal workflows that currently need manual effort. Anything with clear inputs, tools, and success criteria is a candidate.
?Which frameworks do you use for AI agent development?
Primarily LangGraph and LangChain in Python with the OpenAI API (or Claude/Gemini where they fit better), orchestrated behind a FastAPI backend. For business-process automation I also combine agents with n8n workflows.
?How do you keep agents from hallucinating or misbehaving?
I built Sentinel AI, an LLM red-teaming framework, so safety is a first-class part of my process: constrained tool schemas, output validation, bounded loops, human-approval gates for sensitive actions, and evaluation suites that test the agent against adversarial inputs before launch.
?Do you work with international clients?
Yes — I work remotely with clients in the USA, UK, Canada, Australia, Europe, UAE, and worldwide, with overlap-friendly communication and async updates.
// From the Blog
// Related Services
Ready to build?
Tell me about your project and I'll reply with a concrete plan, timeline, and quote — usually within 24 hours.