Notes on building.
Guides on mobile apps, web platforms and AI products. Cost breakdowns, stack comparisons and how we ship.
How to Build an AI Copilot for Your SaaS Product in 2026
AI copilots are replacing chatbots as the primary way users interact with software. Here is how to build one that actually helps your users get work done, not just answer questions.
AI & strategy · Feb 7, 2026 · 15 min read
LLM API Pricing Compared: Claude vs GPT-4 vs Gemini vs Llama in 2026
LLM pricing changes every few months, and the sticker price per token only tells half the story. Here's what each major model actually costs when you factor in quality, speed, and the hidden expenses nobody talks about.
AI & strategy · Feb 7, 2026 · 14 min read
How to Build an AI-Powered Document Processing Pipeline
Traditional OCR is dead for most use cases. Modern LLMs can classify, extract, and validate documents with minimal code and higher accuracy. Here is exactly how to architect an AI document processing pipeline from ingestion to structured output.
AI & strategy · Feb 7, 2026 · 14 min read
How to Build an AI-Powered Search Engine for Your App
Traditional keyword search is broken for modern applications. Users expect Google-quality results, and the only way to deliver that is with AI-powered search that understands intent, not just keywords. Here is exactly how to build one.
AI & strategy · Feb 7, 2026 · 14 min read
How to Build a Multi-Agent AI System for Business Workflows
Single AI agents hit a ceiling fast. When your workflow needs research, analysis, writing, and review, a multi-agent system lets specialized agents collaborate like a well-run team. Here's how to build one that actually works.
AI & strategy · Feb 7, 2026 · 15 min read
Embedding Models Compared: OpenAI vs Cohere vs Open Source in 2026
Most teams default to OpenAI embeddings without testing alternatives. That is a mistake. We break down the actual benchmark scores, costs, and tradeoffs across every major embedding model available in 2026, from commercial APIs to self-hosted open source.
AI & strategy · Feb 7, 2026 · 13 min read
How to Build an AI Data Analyst with Text-to-SQL
Your business team asks the same question every week: 'Can someone pull me the numbers on X?' Text-to-SQL lets them ask a database directly in plain English. Here's how to build one that's accurate enough to trust.
AI & strategy · Feb 7, 2026 · 14 min read
AI for E-Commerce: Personalization, Search, and Dynamic Pricing
AI is not a nice-to-have for online stores anymore. The retailers winning in 2026 use AI to personalize every touchpoint, from search results to pricing. Here is where to start and what it actually costs.
AI & strategy · Feb 6, 2026 · 14 min read
AI Image Generation for Products: Build Your Own Pipeline
Product photography is one of the biggest bottlenecks in ecommerce. AI image generation can produce studio-quality product shots, lifestyle images, and infinite variations at a fraction of the cost. Here's how to build a pipeline that actually produces usable results.
AI & strategy · Feb 6, 2026 · 13 min read
Computer Vision for Business: Practical Applications in 2026
Computer vision is no longer a research curiosity. Businesses are using it to automate inspections, streamline logistics, and unlock revenue from visual data. Here is what actually works and what it costs.
AI & strategy · Feb 4, 2026 · 12 min read
Fine-Tuning vs RAG vs Prompt Engineering: When to Use What
Every team building with LLMs faces the same question: should you fine-tune, build a RAG pipeline, or invest in better prompts? The answer depends on your data, budget, and use case. Here is a practical decision framework with real costs and tradeoffs.
AI & strategy · Feb 4, 2026 · 12 min read
How to Build an AI Content Generation Platform in 2026
The AI content generation market is projected to hit $44 billion by 2028. Here is the technical blueprint for building a platform that produces reliable, brand-consistent content at scale.
AI & strategy · Feb 4, 2026 · 13 min read