Notes on building.
Guides on mobile apps, web platforms and AI products. Cost breakdowns, stack comparisons and how we ship.
How Non-Technical Founders Can Evaluate AI-Generated Code Quality
You shipped your MVP with AI-generated code, and it works. But 'works' and 'production-ready' are very different things. Here is how to tell the difference without writing code yourself.
AI & strategy · Apr 17, 2026 · 13 min read
AI Technical Debt: Hidden Costs of Shipping ML Without MLOps
Your ML model worked great in the notebook. Six months later, accuracy is tanking, your data scientist is buried in maintenance, and nobody can reproduce the version running in production. That is AI technical debt, and it compounds faster than you think.
AI & strategy · Apr 17, 2026 · 14 min read
From Vibe Code to Production: Securing AI-Generated Apps 2026
Y Combinator reports that 95% of code in their latest batch is AI-generated, but nearly half contains serious vulnerabilities. This guide breaks down the exact security review workflows, automated scanning tools, and refactoring strategies you need to turn vibe-coded prototypes into production-grade software.
AI & strategy · Apr 16, 2026 · 14 min read
When NOT to Use AI in Your Product: Anti-Hype Guide for 2026
67% of AI features never gain meaningful user adoption. Before you spend six figures on a model nobody asked for, here is the honest guide to when AI is the wrong answer.
AI & strategy · Apr 15, 2026 · 14 min read
AI for Due Diligence: Speeding Up Startup Evaluation in 2026
Traditional VC due diligence takes two to four months of analyst time. AI tools are compressing that to weeks by automating financial model analysis, code quality assessment, market sizing, and customer sentiment review. Here is what works, what does not, and how to prepare your startup for an AI-powered evaluation.
AI & strategy · Apr 15, 2026 · 14 min read
AI-Powered FinOps: How to Cut Cloud Costs 40% with AI in 2026
Cloud costs are the second largest expense for most startups, right behind payroll. AI-powered FinOps tools can slash that bill by 40% or more through anomaly detection, intelligent rightsizing, and automated purchasing decisions.
AI & strategy · Apr 14, 2026 · 14 min read
Agentic SaaS Pricing: How to Charge for AI Agent Usage in 2026
Per-seat pricing made sense when software was a passive tool. AI agents actively consume compute, call LLM APIs, and deliver wildly variable value per interaction. The old model is broken. Here is what replaces it.
AI & strategy · Apr 14, 2026 · 14 min read
Micro-SaaS Portfolio Strategy: Building Multiple Products
Running one micro-SaaS product is risky. Running three to five on shared infrastructure is how the smartest solo founders build real, resilient revenue.
AI & strategy · Apr 13, 2026 · 14 min read
AI for Customer Retention: Predicting and Preventing Churn
Acquiring a new customer costs 5-7x more than keeping one, yet nearly half of companies still pour most of their budget into acquisition. Here is how AI flips that equation.
AI & strategy · Apr 12, 2026 · 14 min read
AI for Marketing Automation: The 2026 Startup Playbook
Most startups bolt on AI tools one at a time and wonder why nothing compounds. This playbook shows you how to build an integrated AI marketing automation stack that turns a two-person team into a pipeline machine.
AI & strategy · Apr 12, 2026 · 14 min read
AI for Demand Generation: From Content to Pipeline in 2026
Most B2B teams still run demand gen like it is 2019: publish a blog, gate it, send five emails, hand to sales. AI rewires the entire pipeline from content creation to closed-won, and the teams adopting it are generating qualified pipeline at half the cost.
AI & strategy · Apr 12, 2026 · 14 min read
Growth Loops vs Funnels: Modern App Growth Strategy in 2026
Funnels helped build the last generation of apps, but the fastest-growing products in 2026 run on growth loops. Here is how to design the right loop for your product.
AI & strategy · Apr 12, 2026 · 14 min read