Articles

AWS Bedrock A practical guide to building secure generative AI applications without managing foundation model infrastructure.

LLM vs LRM vs LDM A concise guide to three model families shaping language, reasoning, and generation.

Better PII Redaction Combine rule-based detection with lightweight NER for safer, practical sensitive-data masking.

How to Set Up Hermes Agent A practical guide to installing Hermes Agent, choosing a model provider, enabling tools, and running it from chat.

Vector Databases How similarity search actually works under the hood, what the index types trade against each other, and how to choose a store without over engineering the problem.

Securing AI Systems The threats that are specific to language model applications, why prompt injection has no clean fix, and the architectural decisions that actually contain the damage.

LangChain and LangGraph What each library actually does, where the split between them lies, when a framework earns its place in your stack, and when plain code is the better answer.

LLMOps in Practice What it takes to run a language model feature in production: evaluation, versioning, cost control, observability, and the failure modes traditional monitoring never catches.

How RAG Works Retrieval augmented generation explained properly: what happens at each stage, why the retrieval half is where projects succeed or fail, and how to evaluate it.

Why Use AI? A practical look at where AI genuinely pays for itself in a business, where it quietly wastes money, and how to tell the two apart before you commit.