Notes on building.
Guides on mobile apps, web platforms and AI products. Cost breakdowns, stack comparisons and how we ship.
AI for Real Estate: Automated Valuation and Lead Generation
Automated valuation models and AI-powered lead scoring are reshaping how real estate companies price properties and find buyers. Here is what actually works, what it costs, and how to build it.
AI & strategy · Apr 19, 2026 · 14 min read
Why 95% of Enterprise AI Pilots Fail and How to Ship the 5%
Most enterprise AI pilots die quietly in a graveyard of impressive demos. Here is why that happens and what the rare teams that actually ship do differently.
AI & strategy · Apr 18, 2026 · 15 min read
The Vibe Coding Trap: When AI-Generated Code Becomes Tech Debt
That AI-generated MVP you shipped in a weekend? It might be a ticking time bomb. Here is how vibe coding creates hidden technical debt that costs 3x more to fix than building it right the first time.
AI & strategy · Apr 18, 2026 · 14 min read
How to Run an AI Proof of Concept That Convinces Your Board
Most AI proofs of concept fail to win board approval because they showcase flashy demos without production-ready metrics. Here is the framework we use to run PoCs that actually get funded.
AI & strategy · Apr 17, 2026 · 14 min read
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