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Custom AI Agents

AI Agent Development Services

I design, build, and ship custom autonomous AI agents that plan, reason, and execute multi-step tasks — integrated with your tools, APIs, and internal data, and engineered to run reliably in production.

The Problem

Manual, repetitive workflows

Your team spends hours on tasks that follow a predictable pattern — research, data entry, triage, follow-ups — that an AI agent could handle end-to-end.

AI demos that never reach production

You've seen impressive AI agent demos, but turning a prototype into something reliable enough for real users is a different engineering problem entirely.

No clear AI agent strategy

It's unclear where agents would actually create value in your business versus where they'd add complexity without payoff.

How I Solve It

Custom agent architecture

I design agent systems scoped to your actual workflow — tool use, memory, and decision boundaries defined explicitly, not left to chance.

Production engineering, not just prototyping

Every agent ships with error handling, fallback paths, logging, and monitoring so it behaves predictably when it meets real-world inputs.

Full-stack integration

Agents are wired directly into your existing stack — APIs, databases, and internal tools — using the same React/Next.js/Node.js foundation that powers the rest of your product.

What You Get

Faster operations

Multi-step tasks that took hours run autonomously in minutes.

Lower operating cost

Reduce the manual headcount needed for repetitive, rules-based work.

Built to scale

Agent infrastructure designed to handle growing task volume without a rebuild.

How We'll Work Together

Step 01

Discovery & Scoping

We identify the highest-leverage workflow for an agent and define success criteria.

Step 02

Architecture & Prototype

I design the agent's tools, memory, and decision logic, and build a working prototype against real data.

Step 03

Production Hardening

Error handling, fallbacks, observability, and guardrails are added before anything touches real users.

Step 04

Deployment & Iteration

The agent ships, and I monitor real-world performance to refine prompts and logic based on actual usage.

Illustrative Example

Illustrative Example: Support Ticket Triage Agent

This is a template example, not a completed client engagement: an AI agent that reads incoming support tickets, classifies urgency and category, drafts a suggested response, and routes complex cases to the right human specialist — reducing first-response time from hours to under a minute for routine requests.

See Full Project Case Studies

Technologies Used

LLM APIs (OpenAI, Anthropic)
LangChain / Agent SDKs
Node.js
Next.js
PostgreSQL
AWS

Frequently Asked Questions

What does an AI Agent Developer do?

An AI Agent Developer designs and builds autonomous software systems that use large language models to plan, reason, and take multi-step actions — calling tools, APIs, and data sources — to complete tasks with minimal human supervision.

What is the difference between AI Agents and Chatbots?

A chatbot responds to messages in a conversation. An AI agent takes action: it can break a goal into steps, call external tools or APIs, evaluate results, and decide what to do next — often without a human in the loop for each step.

How much does AI Agent Development cost?

Cost depends on the complexity of the workflow, the number of integrations required, and how much production hardening (monitoring, fallbacks, guardrails) the use case demands. Most engagements start with a scoped discovery phase before a fixed estimate is provided.

How long does it take to build an AI Agent?

A focused single-workflow agent can go from discovery to a working production version in a few weeks. More complex multi-agent systems with many integrations take longer — timeline is set during the discovery phase.

Why hire an AI Agent Developer instead of using a no-code tool?

No-code agent builders work for simple, low-stakes workflows. Once you need custom integrations, reliable error handling, or agents that touch production data and real customers, custom engineering becomes necessary to avoid silent failures.

Ready to Put AI to Work in Your Business?

Whether you need a custom AI agent, an automation workflow, or a full-stack AI product built from scratch — let's talk about how I can help your team move faster and build smarter.

I typically respond within 24 hours