Notes on building.
Guides on mobile apps, web platforms and AI products. Cost breakdowns, stack comparisons and how we ship.
How to Write a Technical Spec When You're Not Technical
You do not need to know how to code to write a solid technical spec. You need to know what your product should do, who it serves, and how to communicate that clearly. Here is the framework.
AI & strategy · Feb 9, 2026 · 13 min read
How to Evaluate and Monitor LLM Quality in Production
Most teams ship an LLM feature, cross their fingers, and hope the outputs are good enough. That's not engineering, that's gambling. Here's how to build a real evaluation and monitoring system for LLM quality.
AI & strategy · Feb 8, 2026 · 14 min read
SOC 2 for Startups: The Complete Guide to Getting Compliant in 2026
SOC 2 compliance is no longer optional if you want to sell to enterprise customers. Here is everything you need to know to get audited without derailing your engineering team.
AI & strategy · Feb 8, 2026 · 14 min read
The EU AI Act and Your Product: What Startups Need to Know in 2026
The EU AI Act is the world's first comprehensive AI regulation, and it applies to far more products than most founders realize. Here is what your startup needs to understand before a costly compliance gap becomes a market access problem.
AI & strategy · Feb 8, 2026 · 14 min read
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