Blog/GenAI
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GenAI

Generative AI development and tools

8 articles

RAG vs Fine-tuning: When to Use Which (2026 Decision Guide)

RAG vs Fine-tuning: When to Use Which (2026 Decision Guide)

A framework for choosing between RAG and fine-tuning. Cost, latency, accuracy, data freshness — what actually matters for your use case.

What an Enterprise Chatbot Actually Costs in 2026

What an Enterprise Chatbot Actually Costs in 2026

Real numbers on building and running an enterprise chatbot — build cost, monthly LLM spend, maintenance, and the hidden line items nobody talks about.

How to Scope an AI Agent Project Without Setting Fire to Your Budget

How to Scope an AI Agent Project Without Setting Fire to Your Budget

A practical scoping framework for AI agent projects. The questions to answer before any code is written, and the red flags that kill projects mid-build.

Fine-tuning vs Prompt Engineering: The Real ROI Math

Fine-tuning vs Prompt Engineering: The Real ROI Math

When does fine-tuning actually pay back, and when is prompt engineering enough? A breakdown of cost, accuracy lift, and the break-even volume.

LLM Evals: How to Actually Test AI Systems in Production

LLM Evals: How to Actually Test AI Systems in Production

Unit tests can't verify an LLM gave a good answer. Here's how to build evals that catch regressions before your users do.

Build vs Buy: Enterprise GenAI Platforms (Honest Framework)

Build vs Buy: Enterprise GenAI Platforms (Honest Framework)

Should you build on OpenAI/Anthropic directly, or buy a GenAI platform? A no-BS breakdown for CTOs deciding where to invest.

What is MCP: The Universal Protocol for AI Integration

What is MCP: The Universal Protocol for AI Integration

Understanding Model Context Protocol (MCP) and how it enables AI integration.

What is Gemini CLI and How Agentic AI is Transforming Software Development

What is Gemini CLI and How Agentic AI is Transforming Software Development

Understanding Gemini CLI and how agentic AI is transforming software development.