Design and build production-ready AI agents that plan multi-step tasks, call external APIs, manage memory, and adapt to feedback. RAG pipelines, tool-calling, and multi-agent orchestration.
What Are AI Agents?
A chatbot answers questions. An AI agent autonomously works toward goals — breaking down complex tasks, calling external tools, evaluating results, and adapting when things go wrong.
Imagine an AI system that can: research competitor websites, summarize findings, update your CRM, send notifications, and iterate on its approach based on new information — all with minimal human intervention.
AI Agent Types
Autonomous research agents that search the web, summarize findings, compare competitors, and generate reports — no manual compilation needed.
Intelligent support bots that understand context, retrieve knowledge base articles, escalate complex issues, and resolve customer problems autonomously.
AI systems that research topics, outline content, write articles, optimize for SEO, and publish — from topic to live post automatically.
Build agents that integrate your entire tech stack — CRM, email, Slack, databases, and APIs — to automate complex business workflows.
Agents that query databases, generate insights, create visualizations, and present findings — turning raw data into actionable intelligence.
Complex systems where multiple specialized agents coordinate, communicate, and delegate tasks — more powerful than single agents.
Why Choose Us
I understand both AI/LLMs and production systems. I'll build your agent to be reliable, scalable, and integrated with your existing infrastructure.
I don't just build agents in isolation. I integrate them with your databases, APIs, CRM, email systems, Slack, and any other tools you use.
I've built with Claude, GPT-4, Gemini, and open-source models. I know their strengths, limitations, and when to use which. Proper prompt engineering, not magic.
I optimize prompt engineering, caching, and model selection to keep your API costs reasonable while maintaining quality and speed.
Simple agents in 2–4 weeks. Complex systems with RAG and multi-agent coordination in 6–12 weeks. Depends on scope, not experimental technology.
Error handling, logging, monitoring, rate limiting, and graceful degradation built in. Your agent won't crash when things go wrong.
How We Work
30-minute call to understand your goals, workflow, pain points, and success metrics. What should your agent do, what tools does it need, and what's your timeline?
I design the agent architecture, define tools, plan the tech stack (Claude, OpenAI, or alternative), and outline RAG if needed. You approve before development starts.
Build in 1–2 week sprints. You get test versions to review, provide feedback, and see progress. Iterative, not waterfall.
Extensive testing across edge cases, failure modes, and different LLM responses. Optimize prompts and tool definitions for reliability and cost.
Deploy to your infrastructure with logging, monitoring, and alerts. I stay available for post-launch optimization and refinement.
Maintenance packages available for API updates, prompt refinement, adding new tools, and scaling to higher volumes.
Learn More
Complete guide to planning, memory, tool-calling, and RAG in AI agents.
Technical guide to Messages API, streaming, tool use, and Claude integration patterns.
Honest comparison of LLMs for AI agent development and production use.