Notes on building.
Guides on mobile apps, web platforms and AI products. Cost breakdowns, stack comparisons and how we ship.
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
Non-Technical Founder's Guide to Interviewing and Hiring Devs
You do not need to know how to code to hire great developers. You need a system that filters for the right signals and a clear understanding of what you are actually paying for.
AI & strategy · Apr 20, 2026 · 14 min read
AI Trust and Safety for Consumer Apps: A Founder's Playbook
Consumer AI apps face unique trust and safety risks that most founders underestimate until something breaks publicly. This playbook covers the systems, tools, and team structures that actually keep users safe.
AI & strategy · Apr 20, 2026 · 14 min read
AI for Education: Building Personalized Learning Paths at Scale
Personalized learning used to mean a teacher adjusting lesson plans for 30 students. Now AI can do it for 30 million. Here is how to actually build it, what it costs, and where most EdTech teams get stuck.
AI & strategy · Apr 20, 2026 · 15 min read
The Founder's Playbook for AI Product Go-to-Market Strategy
Most AI products fail not because the model is bad, but because the GTM is wrong. Here is a battle-tested playbook for launching AI products that actually sell.
AI & strategy · Apr 19, 2026 · 15 min read
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