Journal
AI Products
5 articles in this topic.
Jul 14, 2026 · 3 min
OpenAI vs Microsoft vs Google: What the AI Platform Race Means for Product Companies in 2026
How the OpenAI–Microsoft partnership, Google Gemini, and model commodity pressure change build-vs-buy decisions for B2B software teams.
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Jul 14, 2026 · 2 min
Building a Moat for AI Products: Data, Workflow, Distribution, and Trust
Why model access is not a moat—and how AI product companies build durable advantage with proprietary data loops, workflow depth, distribution, and trust architecture.
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Jul 14, 2026 · 2 min
How to Improve AI Product Quality: Evals, Feedback Loops, and Human-in-the-Loop
A practical quality system for AI products—offline evals, online feedback, sampling, HITL design, and when to change prompts vs models vs data.
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Jul 14, 2026 · 2 min
From AI Demo to Production Product: The Improvement Roadmap Teams Skip
The stages after a shiny demo: reliability, evals, UX for uncertainty, cost control, security, and ops—so your AI feature becomes a product customers keep.
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Jul 14, 2026 · 2 min
How to Validate an AI Product Idea Before You Write Code
A founder-friendly validation playbook for AI products: problem interviews, fake-door tests, wizard-of-oz MVPs, willingness to pay, and kill criteria.
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