We transition businesses from basic LLM prompts to production-ready multi-agent orchestration, automated eval gates, versioned PostgreSQL prompt management, and enterprise-grade Python SDKs.
from deepeval import evaluate from hurley_ai.sdk import PromptRegistry # Pull active version from PostgreSQL registry = PromptRegistry(db_url=CONFIG.DB) prompt = registry.get_active("agent_router") # Execute DeepEval Quality Gate results = evaluate( test_cases=dataset, metrics=[GEval(), HallucinationMetric()], threshold=0.92 ) if results.passed: registry.promote_to_production(prompt.id)
Full-Stack AI Systems Architecture
We replace fragile, unmonitored prompts with resilient, deterministic software architecture.
Design and deployment of version-controlled PostgreSQL schemas for dynamic prompt injection, lifecycle status management, and complete execution logging.
Integration of GitHub Actions workflows powered by DeepEval, GEval, and hallucination metrics to block low-performing prompts from hitting production.
Architecting stateful multi-agent state machines with reflection loops, autonomous self-correction, and error fallbacks using LangGraph.
Building light, asynchronous client wrapper libraries with Pydantic V2 schema enforcement to guarantee 100% structured outputs.
Implementing vector search with pgvector and GraphRAG to reduce latency, lower API token consumption, and retain context precision.
Distilling complex multi-turn prompt logic into lightweight, fine-tuned open-weights models (LoRA/QLoRA) for private local deployment.
The Engineering Engagement Lifecycle
Diagnostic evaluation of prompt density, token overhead, parsing failure rates, and safety edge cases.
Engineering PostgreSQL schemas, OpenAPI specs, and Pydantic models tailored to your business domain.
Building automated GitHub Actions quality gates and golden datasets to test regression before promotion.
Deploying semantic vector caching, cost-reduction pipelines, and stateful agent telemetry monitoring.
Let's audit your current AI setup and design a production-grade infrastructure plan.