Notes on building.
Guides on mobile apps, web platforms and AI products. Cost breakdowns, stack comparisons and how we ship.
Selling AI to Enterprise Customers: Startup Playbook for 2026
Enterprise AI sales cycles average 6 to 12 months. Your product might be great, but if you cannot navigate security reviews, pilot programs, and procurement committees, you will never close. Here is the playbook that works.
AI & strategy · Mar 24, 2026 · 15 min read
AI for Talent Marketplaces: Matching and Scoring Algorithms
Keyword matching produces terrible talent marketplace results. AI-powered matching that infers skills, scores culture fit, and ranks candidates fairly is the difference between a useful platform and a glorified job board.
AI & strategy · Mar 24, 2026 · 15 min read
AI Feedback Loops: Continuous Model Improvement for Products
65% of AI products degrade in quality within 6 months of launch. The fix is not better models. It is better feedback loops that collect user signals, trigger retraining, and validate improvements before they reach production.
AI & strategy · Mar 24, 2026 · 15 min read
AI Agent Monetization: Pricing Models and Revenue Strategies
AI agents are projected to generate $50B+ in revenue by 2028, but traditional SaaS pricing does not work for autonomous systems that consume variable compute and deliver variable value. Here are the pricing models that do work.
AI & strategy · Mar 23, 2026 · 15 min read
AI for Cybersecurity: Threat Detection for SaaS Startups 2026
AI cybersecurity tools detect threats 60x faster than manual monitoring. Here is how SaaS startups should implement AI-powered threat detection, and how to build security AI products.
AI & strategy · Mar 22, 2026 · 14 min read
How to Build an AI Research Agent Like Perplexity or Claude 2026
AI research agents that search, synthesize, and cite are redefining how people find information. Here is the technical architecture for building a vertical research tool with agent loops and tool use.
AI & strategy · Mar 21, 2026 · 15 min read
AI Vendor Contracts and SLAs: A 2026 Playbook for Startups
73% of startups report unclear terms in AI vendor contracts. Here is the playbook for negotiating data ownership, model versioning SLAs, price protections, and exit rights with LLM providers.
AI & strategy · Mar 21, 2026 · 13 min read
How to Build a Production-Grade Prompt Management System 2026
Prompt management is the hidden infrastructure challenge for production AI. Here is how to build a system for versioning, testing, evaluating, and deploying prompts at scale.
AI & strategy · Mar 21, 2026 · 14 min read
AI for Legal Operations: Contract Review and eDiscovery 2026
Legal operations teams are using AI to cut contract review time by 60% and eDiscovery costs by 40%. Here is what works, what does not, and how to implement AI in your legal department.
AI & strategy · Mar 21, 2026 · 14 min read
Prompt Injection Defense: The Playbook for Production AI Apps in 2026
Prompt injection is OWASP's number one LLM vulnerability. Here is the practical 2026 defense playbook every team shipping AI features needs.
AI & strategy · Mar 19, 2026 · 14 min read
AI Model Distillation: Cut LLM Costs 90% Without Quality Loss in 2026
LLM bills hitting $50K+ per month? Model distillation can cut inference costs by 90% while retaining 95%+ task quality. Here is the practical 2026 playbook.
AI & strategy · Mar 19, 2026 · 14 min read
AI for Wealth Management: Compliant Advisor Copilots in 2026
RIAs and wirehouses are rolling out AI advisor copilots in 2026. Here is the compliant path for founders and CTOs building AI products for wealth management.
AI & strategy · Mar 19, 2026 · 14 min read