Notes on building.
Guides on mobile apps, web platforms and AI products. Cost breakdowns, stack comparisons and how we ship.
AI Scheduling and Calendar Intelligence: A Startup Playbook
Reclaim, Motion, and Clockwise raised over $100M proving AI scheduling works. Here is the strategic playbook for building or integrating AI calendar intelligence.
AI & strategy · Mar 26, 2026 · 14 min read
AI Agents for SaaS Customer Onboarding: Reducing Time-to-Value
40 to 60 percent of SaaS trial users churn during onboarding. AI agents that guide setup, answer questions, and auto-configure integrations cut time-to-value in half.
AI & strategy · Mar 26, 2026 · 14 min read
AI Document Automation for Startups: Contracts and Invoices
80 percent of business data lives in unstructured documents. AI document automation cuts manual processing by 90 percent. Here is the strategic playbook for startups.
AI & strategy · Mar 26, 2026 · 14 min read
Enterprise AI Governance: A Framework for Startup Founders
78% of enterprises require AI governance frameworks from vendors before signing contracts. If you sell AI products to enterprise, governance is not optional. It is a sales enablement requirement that directly affects your close rate.
AI & strategy · Mar 24, 2026 · 15 min read
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