AI Agent Development
Done Right
Not off-the-shelf bots. We build purpose-built AI agents that understand your specific domain, data, and business rules. Every agent is designed using our Simulation vs. Emulation classification framework to ensure the right architecture for the right problem.
What We Deliver
Domain-specific AI agents trained on your data and business rules
Agent classification report (Simulation vs. Emulation)
Tool-equipped agents with MCP integration
Testing framework with domain-appropriate validation
Drift monitoring and performance baselines
Ongoing refinement and support
How It Works
01
Classify
We determine if your use case needs a simulation (predictable, measurable) or emulation (adaptive, orchestrated).
02
Design
Agent architecture, tool requirements, data access patterns, and validation criteria are defined.
03
Build
The agent is developed with iterative testing against real-world scenarios and edge cases.
04
Validate
Simulations are tested against objective metrics. Emulations are validated against human baselines.
Technologies We Use
Anthropic ClaudeOpenAI GPT-4Custom fine-tuningMCP ProtocolRAG pipelinesEmbedding modelsEvaluation frameworks
Industries We Serve With This
Ready to Get Started?
Book a free consultation and we'll discuss how this service fits your specific needs.