AI Workflow Automation
Llama 4 in Production: A Real-World Deployment Walkthrough
Hardware sizing, vLLM configuration, throughput benchmarks, and total cost of ownership against API providers.
Insights & Resources
AI Workflow Automation
Deep-dive guides, real case studies, and practical frameworks on AI workflow automation, cloud cost optimization, FinOps, and enterprise data engineering.
AI Workflow Automation
Open-Source LLMs in 2026: When to Self-Host, When to Use APIs
A 2026 cost-and-quality tradeoff analysis: when self-hosting Llama or Mistral makes sense, and when API providers are still the answer.
AI Workflow Automation
Production-Grade Prompt Engineering: Tests, Versioning, and Rollback
Prompts are code. They deserve tests, versioning, and rollback. The exact framework we deploy at every AI engagement.
AI Workflow Automation
Why Most Enterprise AI Agent Deployments Fail (And the 3-Layer Architecture That Actually Works)
After 50+ enterprise AI automation projects, we have seen the same failure modes over and over. Here is the architecture pattern that actually delivers.
AI Workflow Automation
AI Agent Observability: What to Log and How to Debug Production Failures
Logging the right things at agent runtime makes the difference between debugging in 5 minutes vs. 5 days. Here is the schema we use.
AI Workflow Automation
Vector Database Showdown 2026: pgvector vs. Pinecone vs. Qdrant vs. Weaviate
Real benchmarks against 14M embeddings, real cost numbers, and the honest enterprise recommendation matrix.
AI Workflow Automation
Building Your First Enterprise AI Agent with LangChain + Claude (Code Included)
A working, production-ready AI agent in 80 lines of Python — with Claude, structured outputs, retry logic, and audit logging.
AI Workflow Automation
Building a Compliance-Grade RAG System: Lessons from a 2026 FinTech Deployment
How we built a retrieval-augmented generation system for a regulated FinTech that meets SOC 2, audit, and explainability requirements.
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