Integrating LLMs Into Existing Products: A Practical Engineering Guide
How to add large language model capabilities to your existing software — from API integration patterns to prompt engineering, caching, and cost optimization.
Thoughts on AI, software architecture, and building products that matter — from the team at Pikessoft.
How to add large language model capabilities to your existing software — from API integration patterns to prompt engineering, caching, and cost optimization.
A transparent breakdown of AI development costs — from simple chatbot integrations to custom ML pipelines. What drives pricing and how to budget effectively.
A step-by-step guide to launching your minimum viable product in 30 days — from scoping and design to development and market validation.
Navigating healthcare AI development without compromising patient privacy. A practical guide to building HIPAA-compliant AI systems — from data handling to deployment.
From rule-based systems to real-time AI models — how financial institutions are using machine learning to detect fraud faster and more accurately than ever before.
How autonomous AI agents are transforming business operations — from customer support triage to document processing pipelines. A practical look at what works today.
Retrieval-Augmented Generation sounds simple in theory. In practice, getting it right requires careful architecture decisions around chunking, embeddings, retrieval, and evaluation.
In 2023, we made a bet that changed everything. We stopped treating AI as a feature and started treating it as the foundation. Here's why — and what happened next.
Practical guides on AI engineering, product strategy, and what actually works — no fluff.