AI Engineering Resources
Everything we know about building production AI systems — organized by topic. Technical articles, architecture guides, and service deep-dives from the Crazy Unicorns engineering team.
Articles
7 Lessons from Deploying RAG Systems in Production
Hard-won lessons about chunking, evaluation, hybrid search, and monitoring from real enterprise deployments.
Fine-Tuning vs RAG: A Decision Framework
When to use retrieval-augmented generation vs model fine-tuning, with a practical decision matrix.
Vector Database Comparison for Production RAG
Hands-on comparison of Pinecone, Weaviate, Qdrant, Milvus, and pgvector in production workloads.
Articles
Building AI Agents with Production-Grade Guardrails
How to architect agent systems that are safe, observable, and controllable with layered guardrails.
Building Multi-Agent AI Systems That Scale
Patterns for orchestrating multiple specialized agents — from supervisor hierarchies to swarm architectures.
Articles
How We Evaluate LLM Applications Before They Ship
A systematic framework covering golden datasets, LLM-as-judge, and continuous monitoring for quality.
Fine-Tuning vs RAG: A Decision Framework
When fine-tuning makes sense over RAG, with cost analysis and implementation considerations.
Articles
Architecture Patterns for Enterprise AI Systems
Gateway design, model routing, security patterns, and cost management for enterprise-scale AI.
Cost Optimization Strategies for LLM Infrastructure
Practical strategies for keeping LLM costs predictable — caching, model routing, and prompt optimization.
Services
AI Architecture & MLOps
Design and implement production AI infrastructure with observability, scaling, and governance.
Enterprise AI Solutions
End-to-end enterprise AI strategy, implementation, and change management.
AI Integration Services
Connect AI systems with existing enterprise infrastructure, APIs, and data pipelines.
Articles
Securing LLM Applications in Enterprise Environments
Defense strategies for prompt injection, data exfiltration, and adversarial attacks on LLM systems.
Building AI Agents with Production-Grade Guardrails
Safety layers for autonomous AI systems — input validation, action boundaries, and output verification.
Articles
Measuring ROI of AI Automation: A Practical Guide
A practical framework for quantifying AI automation ROI with concrete metrics and benchmarks.
Cost Optimization Strategies for LLM Infrastructure
Keep LLM costs predictable with caching, model routing, prompt optimization, and tiered architectures.
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