Guides

In-depth guides to understand the key concepts of AI

7 articles

AI Model Routing in 2026: Cut API Costs 60-85% Without Losing Quality

37% of enterprises run 5+ models in production. Smart routing cuts API costs 60-85% with measurable quality gains. Here is how to build it in under 100 lines of code.

Bitexoft · 8 min

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Guide

How to Choose the Right LLM for Your Use Case in 2026

GPT-5.4, Claude Opus 4.6, Gemini 2.0, Nemotron 3 Super, MiMo-V2-Pro. Too many models, too little time. A practical decision framework with comparison tables for choosing the right LLM in 2026.

Bitexoft · 11 min

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Guide

AI Agent Architectures in 2026: ReAct vs Plan-and-Execute vs Multi-Agent

ReAct, Plan-and-Execute, and Multi-Agent are the three dominant patterns for building AI agents in 2026. Here is how each works, when to use each, and code examples for all three.

Bitexoft · 12 min

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Guide

How to Use Gemini 2.5 Pro's 2 Million Token Context Window

Dumping 10,000 files into an LLM causes retrieval failures. Here is the exact XML prompting framework to extract facts reliably from 2 million tokens.

Bitexoft · 6 min

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Guide

Prompt Caching API Costs: How to Save 90% on LLM Bills

Prompt caching reduces API input costs from $3.00 to $0.30 per million tokens. Here is how to implement it in your codebase today.

Bitexoft · 5 min

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Guide

Running Local LLMs in 2026: The Complete Privacy Guide

Sending proprietary company data to a third-party API is a security risk. Learn how to run 8B and 70B models entirely on your own hardware.

Bitexoft · 11 min

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Guide

RAG Explained: How to Make AI Read Your Private Documents

The biggest problem with AI isn't that it hallucinates—it's that it doesn't know your business. Enter Retrieval-Augmented Generation.

Bitexoft · 7 min

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