AI
RAG in Production: Retrieval Quality Comes Before Cost
How embedding models, chunking strategy, and eval setup determine retrieval quality in production RAG systems. Quality first, then cost optimization.
· 8 min read
ai
AI
AI models, automation and future trends.
18 posts
AI
LLM Citation Measurement — Your New SEO Metric Set
Measuring your brand's citation rate on Perplexity, ChatGPT, and Gemini is now core to SEO. Learn how to build a citation tracking system.
· 8 min read
geo
GEO: Positioning Your Brand in ChatGPT's Answer
Achieving visibility in generative AI overviews by architecting content around citation logic. Token economics, retrieval patterns, and measurement.
· 8 min read
AI
Multi-Agent Orchestration: From Single LLM Call to Production Systems
Scale LLM applications with agent SDKs, tool use, and parallel/serial topologies. Navigate token costs, latency, and error isolation tradeoffs.
· 8 min read
AI
AI-Generated Content and Google: The Risk Matrix
Post-Helpful Content Update: Which AI-generated content gets penalized, which ranks? Data-driven risk map and detection patterns.
· 8 min read
AI
Embedding Drift: Maintaining Vector Databases in Production
Model migration, re-indexing costs, and embedding versioning—tradeoff analysis for sustaining vector database retrieval quality.
· 8 min read
AI
n8n + Claude API: Autonomy in Marketing Operations
Autonomous workflow design, idempotency, error handling — the engineering reality of production-grade LLM automation.
· 8 min read
AI
Prompt Versioning and A/B Testing: The Discipline of LLM Operations
Building prompt eval pipelines with Promptfoo and LangSmith. Methods for preventing regression in production LLM workflows and measuring cost-quality tradeoffs.
· 8 min read
AI
RAG in Production: Retrieval Quality Comes Before Cost
Without proper embedding models, chunking strategy, and eval setup, your RAG system becomes a hallucination machine. Lessons from production experience.
· 8 min read
AI
LLM Citation Measurement — Your New SEO Metric Set
How do you measure your brand's citation rate on Perplexity, ChatGPT, Gemini? Citation tracking is the new generation SEO metric framework.
· 7 min read
AI
GEO: Positioning Your Brand in ChatGPT's Answer
Generative Engine Optimization makes your brand visible in AI overviews and LLM citations. Technical strategy and content architecture for 2025.
· 8 min read
AI
Multi-Agent Orchestration: From Single LLM Call to Production Systems
Agent SDKs, tool use, and parallel/serial topologies transform LLMs into production infrastructure — managing latency, cost, and reliability tradeoffs.
· 8 min read
AI
AI-Generated Content and Google: Risk Matrix
Post-Helpful Content Update, the boundaries of AI content production. Which metrics matter in production, which tradeoffs exist, what detection risk is real?
· 8 min read
AI
Embedding Drift: Managing Vector DBs in Production
Model incompatibility in production, re-indexing costs, and incremental migration strategies — sustaining vector databases reliably at scale
· 8 min read
AI
n8n + Claude API: Autonomy in Marketing Operations
Design autonomous workflows with idempotency guarantees and error recovery strategies to safely delegate marketing operations to AI.
· 8 min read
AI
Prompt Versioning and A/B Testing: The Discipline of LLM Operations
How to build deterministic quality control in production LLM systems using prompt versioning, evaluation pipelines, and tools like Promptfoo and LangSmith.
· 8 min read
AI
Production RAG: Retrieval Quality Comes Before Cost
Choose your embedding model, chunking strategy, and eval setup wrong, and your RAG system becomes expensive or slow—or both. What matters in production?
· 8 min read
AI
LLM Citation Measurement — Your New SEO Metric Set
Production-ready methodology to measure your brand's citation rate on Perplexity, ChatGPT, and Gemini. As organic traffic disappears, citation rate becomes your new visibility metric.
· 8 min read