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Notes on building.

Guides on mobile apps, web platforms and AI products. Cost breakdowns, stack comparisons and how we ship.

How to Build a Compound AI System with Multi-Model Orchestration in 2026

A practical compound AI system guide covering routing, RAG, orchestration frameworks, evaluation, and production scaling with Claude, GPT-4.5, and Gemini 2.5 Pro.

AI & strategy · Mar 14, 2026 · 14 min read

How to Build Computer Use Agents for Browser Automation in 2026

A practical, opinionated computer use agents guide covering Claude, Operator, Mariner, Browserbase, Stagehand, and the architecture patterns that actually work in production.

AI & strategy · Mar 14, 2026 · 14 min read

AI for HR: Performance Reviews, Engagement, and Retention in 2026

A pragmatic guide to AI for HR performance reviews, engagement analytics, attrition prediction, bias detection, and EU AI Act compliance in 2026.

AI & strategy · Mar 14, 2026 · 13 min read

How to Write an AI Acceptable Use Policy for Your Startup in 2026

A founder's guide to writing an AI acceptable use policy that actually works in 2026. Cover ChatGPT, Claude, Cursor, Copilot, data handling, IP, and rollout without killing productivity.

AI & strategy · Mar 14, 2026 · 13 min read

AI for Marketplace Growth: Matching, Pricing, and Trust in 2026

Two-sided marketplaces struggle with cold-start, pricing, and trust. AI-powered matching, dynamic pricing, and fraud detection can increase liquidity by 30 to 50%.

AI & strategy · Mar 12, 2026 · 14 min read

How to Build AI Tool-Use Agents with MCP and A2A in 2026

MCP crossed 97M monthly SDK downloads and A2A joined the Linux Foundation. Here is how to combine these protocols to build agents that discover tools, invoke APIs, and collaborate.

AI & strategy · Mar 11, 2026 · 15 min read

AI for Revenue Operations: Automating Your GTM Stack in 2026

60% of B2B SaaS companies plan to automate RevOps with AI by 2027. Here is how to implement AI-powered lead scoring, pipeline forecasting, and deal intelligence today.

AI & strategy · Mar 11, 2026 · 14 min read

Multi-Model AI Strategy: Using Claude, GPT, and Gemini Together

73% of production AI apps now use multiple LLM providers. Here is how to build a multi-model strategy that optimizes for cost, quality, and reliability without vendor lock-in.

AI & strategy · Mar 11, 2026 · 14 min read

How to Measure AI Engineering Team Productivity in 2026

AI coding tools can reduce development cycles by 40 to 60%, but CTOs struggle to measure the ROI. Here are frameworks for tracking AI-assisted productivity without gaming metrics.

AI & strategy · Mar 11, 2026 · 14 min read

How to Price AI Features: Usage, Seat, and Bundled Pricing in 2026

A practical, opinionated guide to pricing AI features in 2026. Compare usage, seat, credits, and bundled models with real examples from Notion, Intercom, and Linear.

AI & strategy · Mar 9, 2026 · 14 min read

AI Model Routing: Cut LLM Costs with Smart Orchestration in 2026

Most teams run every prompt through their most expensive model. AI model routing sends easy requests to cheap models and hard requests to premium ones, cutting LLM spend 40-70% without sacrificing quality.

AI & strategy · Mar 9, 2026 · 13 min read

AI Observability: Logging, Tracing, and Debugging LLM Apps in 2026

LLM apps are non-deterministic, expensive, and fail silently. Here is how to build a production observability stack that catches hallucinations, tracks costs, and debugs agents without losing your mind.

AI & strategy · Mar 9, 2026 · 14 min read

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