Custom Agents For Your Domain
AI Agent Development
From Audit to Deployment
We build custom AI agents around your domain, data, and business rules. Each agent is classified with our Simulation vs. Emulation framework, which determines its architecture.
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
[ AGENT STACK ]SCHEMATIC
RUKOU // FIELD MANUALREF AI-AGENT-DEVELOPMENT
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 production 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
The First Call Is Free
Walk us through your workflows and we'll say where this service fits.