Developer stack
AI Development: The infrastructure builders use to ship AI products.
Developer stackAI intelligence results for "Best AI APIs", including topic guides, current stories, and graph profiles.
AI Development: The infrastructure builders use to ship AI products.
Developer stackAI Development: The constraints that determine whether AI systems work in production.
Runtime and evaluationAI Tools Directory: Tools for producing, editing, and scaling content.
Creative and content toolsAI Tools Directory: Tools that affect daily business and technical workflows.
Work and industry toolsAI Reviews: The product surfaces Pagish should evaluate.
Review categoriesAI Reviews: A repeatable review format for decision support.
Review criteriaPrompt Library: High-repeat use cases for everyday productivity.
Work promptsPrompt Library: Prompts for content, social, and generative media workflows.
Media promptsAI agents have mostly been judged by what they can do on a screen: browse, code, write, click, and call APIs. Anthropic's reported lab-agent work moves the question into rooms with instruments, materials, protocols, and experiments that can fail in expensive ways.
Shopping sounds like an easy job for agents until the agent has to make a real decision. Preferences are messy, prices change, reviews are noisy, policies differ, and the best choice is often not the item with the cleanest product page.
Granola’s lesson is refreshingly simple: the best AI product may be the one that quietly removes a daily annoyance. In a market crowded with grand claims, note-taking works because the pain is obvious and the payoff is immediate.
Thomson Reuters is a useful enterprise signal because its business depends on trusted information. If a company like that leans toward owning more of its AI capability, it suggests some workloads may be too sensitive, specialized, or valuable to leave entirely to rented APIs.