Notes on building.
Guides on mobile apps, web platforms and AI products. Cost breakdowns, stack comparisons and how we ship.
How to Build a Generative AI Design Tool for Non-Designers 2026
Canva proved that non-designers will pay for simple tools. Generative AI makes it possible to go further: real design output from plain English prompts. Here is how to build the product, what it actually costs, and where the real moats are.
How to build · Apr 23, 2026 · 14 min read
How to Build an AI Document Management System With Smart Search
Most document management systems are glorified file cabinets. If you want search that actually understands your documents, auto-classification that works, and retrieval that feels instant, you need to build AI into the core architecture from day one.
How to build · Apr 23, 2026 · 14 min read
How to Build an AI Agent Marketplace for Enterprise Workflows
AI agent marketplaces are becoming the app stores of the agentic era, and the teams that build them now will own distribution for the next decade. Here is how to architect one from scratch, including the agent registry, execution sandboxing, monetization, and go-to-market playbook.
How to build · Apr 23, 2026 · 14 min read
How to Build an AI Pricing Optimization Engine for SaaS in 2026
Static pricing is a slow revenue leak. Every month you run flat-rate plans without testing, you leave 15 to 30 percent of potential revenue uncollected. Here is how to build an AI pricing optimization engine that finds the right price for every customer segment, automatically.
How to build · Apr 23, 2026 · 14 min read
AI-Powered Design Systems: Automating Component Generation 2026
Design systems have always been expensive to build and painful to maintain. AI design system automation is changing the math by generating production-ready components directly from design tokens and Figma files. Here is what actually works today and what is still hype.
Technology · Apr 23, 2026 · 14 min read
v0 vs Bolt.new vs Lovable: AI App Builders for Founders in 2026
Three AI app builders dominate the market in 2026: v0 by Vercel, Bolt.new by StackBlitz, and Lovable. Each takes a different approach to generating web apps from prompts. Here is a practical breakdown of which one fits your project, your budget, and your stage.
Technology · Apr 22, 2026 · 15 min read
Together AI vs Groq vs Fireworks: LLM Inference APIs Compared
Three inference providers, three very different bets on how LLMs should be served. Together AI focuses on open model breadth and fine-tuning. Groq bets on custom silicon for speed. Fireworks prioritizes developer experience and compound AI. Here is the honest comparison for teams picking an inference API in 2026.
Technology · Apr 22, 2026 · 14 min read
Supabase Edge Functions vs Cloudflare Workers vs Vercel Funcs
Three serverless platforms, three different philosophies. Supabase runs Deno, Cloudflare uses V8 isolates, and Vercel gives you full Node.js. Here is how to choose the right one for your stack.
Technology · Apr 22, 2026 · 14 min read
How AI Agents Are Changing Software Development Outsourcing
The outsourcing model that worked for two decades is breaking apart. AI coding agents are compressing timelines, collapsing rate arbitrage, and forcing agencies to sell outcomes instead of hours. Here is what that means for your next project.
AI & strategy · Apr 22, 2026 · 14 min read
The Founder's Guide to Choosing the Right LLM for Your Product
Picking the wrong LLM can burn months of runway and lock you into architecture decisions that haunt your team for years. This guide gives founders a concrete decision framework for model selection.
AI & strategy · Apr 22, 2026 · 15 min read
Human-in-the-Loop AI: Designing Products That Scale With Trust
Full automation sounds great until your model confidently approves a fraudulent insurance claim or misclassifies a tumor. Human-in-the-loop design is not a stopgap. It is the architecture that lets you ship AI products into high-stakes environments and earn trust over time.
AI & strategy · Apr 22, 2026 · 14 min read
AI Strategy for Series A Startups: What to Build vs. Buy
Most Series A startups waste 30-40% of their AI budget chasing the wrong approach. This guide covers exactly how to allocate your AI investment, when to build proprietary models vs leverage APIs, and how to create defensible moats with data. Specific budget breakdowns, timelines, and decision frameworks included.
AI & strategy · Apr 22, 2026 · 14 min read