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Custom AI Agent Development

AI agents that automate workflows, handle complex interactions, and extract valuable insights from your data. Built with the latest LLMs and tailored to your specific needs.

What's Included

AI model selection & integration

Custom prompting and fine-tuning

API integration with your systems

Error handling & retry logic

Performance monitoring

Ongoing optimization

Documentation & training

Support & maintenance

AI Agents in Action

8 production-ready agent types solving real problems. Click any tab to see the demo.

Voice-Enabled Support

Handle inbound/outbound calls with speech-to-text, intent classification, and human handoff

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Technology Stack

LLM Providers

  • • OpenAI (GPT-4, GPT-4 Turbo)
  • • Anthropic (Claude models)
  • • Google Gemini
  • • Custom or fine-tuned models

Infrastructure

  • • Fast, reliable API endpoints
  • • Secure credential management
  • • Comprehensive logging & monitoring
  • • Scalable deployment options

How AI Agents Work in Practice

A real example: handling customer support requests with reliability and transparency

1

Customer Message Arrives

Message enters the system via email, chat, webhook, or API call

2

Agent Classifies Intent

AI understands what the customer is asking and categorizes the request

3

Agent Checks Tools & Data

Agent queries internal systems, databases, or APIs to gather relevant information

4

Agent Responds or Escalates

If confident, the agent replies directly. If uncertain, it escalates to a human with full context

Frequently asked questions

What is an AI agent?

An AI agent is software that can take actions toward a goal—not just answer questions. It can call APIs, update calendars, send messages, or follow multi-step workflows with rules you define. Chatbots reply; agents do work.

How much does an AI automation agent cost?

It depends on scope: a focused agent (appointment booking, support triage) is typically a fixed project in the low-to-mid thousands; multi-system agents with voice, CRM, and monitoring cost more. We scope after a short discovery call so you get a clear number before build starts—no vague retainers required.

What's the difference between an AI chatbot and an AI agent?

A chatbot mainly converses. An AI agent uses tools and state: it can book appointments, place outbound calls, look up records, and complete tasks end-to-end. If you need answers on a page, a chatbot may be enough. If you need work done in your systems, you want an agent.

Can you build an AI calling agent or appointment booking agent?

Yes. We build voice agents for inbound and outbound calls, and booking agents that sync with real calendars. Both are designed for production: error handling, logging, and handoff to a human when needed—not demo scripts that break on the first edge case.

How long does custom AI agent development take?

A single well-scoped agent often ships in a few weeks. Broader automation across multiple tools takes longer. We start with one high-value workflow, prove it in production, then expand—so you see value early instead of waiting on a big-bang launch.

Ready to build your AI agent?

Let's discuss your specific needs and build something that moves the needle.

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