CUSTOM AI AGENT DEVELOPMENT
We build AI agents that think, plan, and execute. From Google ADK to Claude Cowork, Cursor Background Agents, and OpenAI — production-grade automation that runs while you sleep.
2026 is the year of the agent.
AI agents have evolved from simple chatbots to autonomous systems that plan multi-step tasks, use tools, coordinate with other agents, and execute complex workflows with minimal human oversight. Every major platform — Google, Anthropic, OpenAI, Cursor — now has a production-grade agent framework. We build on all of them.
Google ADK
Agent Development Kit
Google's open-source, model-agnostic framework for building production-ready multi-agent systems. Supports sequential, parallel, and loop orchestration with LLM-driven dynamic routing. Available in Python, TypeScript, Go, and Java.
- Multi-agent hierarchy with parent-child delegation
- Rich tool ecosystem: custom functions, APIs, code execution
- Session and memory management across conversations
- Built-in evaluation framework for testing agent performance
- Deploy locally, on Vertex AI, or via Cloud Run / Docker
Claude Code + Cowork
Anthropic Agent Ecosystem
Claude Code is Anthropic's agentic coding tool — build, debug, and ship from your terminal, IDE, or Slack. Claude Cowork (launched January 2026) extends this to non-technical work: autonomous file management, document creation, spreadsheets, and task orchestration on your local machine.
- Terminal-native coding agent with IDE and Slack integration
- Cowork: direct local file access for non-technical workflows
- Autonomous document, spreadsheet, and presentation creation
- Task orchestration with parallel workstream coordination
- Available on macOS, Windows, Linux, and as a Chrome extension
Cursor Agents
Background & Cloud Agents
Cursor's Background Agents run autonomously in the cloud while you continue working. Run up to 8 agents in parallel, each in isolated codebases with git worktree isolation. Powered by Claude 4.5 Opus/Sonnet with up to 1M-token context and dynamic context discovery.
- Cloud-native parallel execution — up to 8 simultaneous agents
- Dynamic context discovery (agents pull their own context)
- Git worktree isolation prevents merge conflicts
- GitHub integration for PRs and branch management
- Subagents with custom prompts, skills (SKILL.md), and tools
OpenAI Agents SDK
Responses API + Agent Framework
OpenAI's production agent framework with the Responses API. Features remote MCP server support, built-in code interpreter, image generation, and background mode for long-running tasks. o3 and o4-mini models call tools directly within their chain-of-thought.
- Remote MCP server support for connecting external tools
- Background mode for async long-running agent tasks
- Agent handoffs, guardrails, and built-in tracing
- Reasoning tokens preserved across requests (lower cost)
- Streaming with raw events and high-level progress tracking
What we build.
Real agents for real business problems. Click the tabs to see each one in action.
How it works.
From idea to live agent in weeks, not months.
Discover
We map your workflows and identify the highest-impact opportunities for autonomous agents.
Design
We choose the right platform, define the agent architecture, and prototype the solution.
Build & test
Agile sprints with built-in evaluation, guardrails, and human-in-the-loop controls.
Deploy & train
Go-live, team training, monitoring, and ongoing iteration. We stay until it's running.
Results from AI Agent Deployments
Real numbers from production AI agents and chatbots we've built.
Queries resolved without human involvement
“Our support team handles 3x the volume with the same headcount.”
Faster response times
“Response times dropped by half and customer satisfaction scores jumped 20 points.”
Saved per week
“What used to take our team an entire day now happens in minutes.”
Not sure which platform is right?
We're vendor-agnostic. We'll recommend the right agent framework for your use case, budget, and constraints — not whatever's trendiest.
Learn More
A plain-English guide to AI agents and what they can do for your business
AI Agent vs ChatbotWhich one does your business actually need? A clear comparison
AI Agents for Customer SupportHow AI support agents resolve 70% of tickets automatically
OpenAI Agent Builder GuideStep-by-step guide to building production AI agents
Frequently asked questions.
An AI agent is an autonomous software system that can reason, plan multi-step tasks, use tools, and execute actions with minimal human oversight. Unlike simple chatbots, agents can break down complex goals, coordinate with other agents, and adapt their approach based on results.
Most custom AI agents are production-ready in 2-6 weeks depending on complexity. A focused customer support chatbot can be deployed in 2-3 weeks. Multi-agent systems with complex integrations typically take 4-8 weeks.
We build on all major agent platforms: Google ADK (Agent Development Kit), Anthropic Claude Code and Cowork, Cursor Background Agents, and OpenAI Agents SDK. We recommend the platform that best fits your use case and existing tech stack.
A chatbot handles conversations within predefined flows. An AI agent can autonomously reason about problems, plan multi-step solutions, use external tools and APIs, make decisions, and execute complex workflows. Agents are significantly more capable but require more sophisticated development.
Yes. AI agents can integrate with any system that has an API — CRMs, ERPs, databases, email, Slack, and custom internal tools. We build the integration layer so agents can read, write, and act across your entire tech stack.
Need an AI agent?
Let's build it.
From simple chatbots to autonomous multi-agent systems. Tell us what you want to automate and we'll show you what's possible.
Send me a message
I'll get back to you within 24 hours.