Shortcut vs Document360
Side-by-side trajectory, velocity, and editorial themes.
Shortcut is rebuilding its API for agents and pushing its Korey AI assistant beyond the app.
Two real threads run through the recent log: an API overhaul (coarse-grained token scopes, admin-scoped routes, and a v4 alpha explicitly aimed at agent compatibility) and the Korey AI assistant expanding to a Chrome extension usable on any webpage. Integration and roadmap polish round it out. Note that some recent feed items are brand-guide page content rather than product releases.
Shortcut is preparing its platform for agent-driven use, with scoped tokens and an agent-optimized API v4, while extending Korey outward from inside the app to anywhere the user works. The direction is a project tracker that both AI agents and humans can drive through a controlled API.
Expect API v4 to move from alpha toward general availability with agent-oriented capabilities, and Korey to gain more in-context actions across surfaces beyond the Chrome extension.
Document360 is rebuilding the knowledge base around AI agents — readable by them and operable through them.
Document360 is a knowledge-base and documentation platform shipping monthly point releases. The recent arc is heavily AI-shaped: an MCP server connects ChatGPT, Claude, and Copilot to the KB, then expands to manage the full content lifecycle — search, create, update, assign reviewers, and publish — from inside an AI assistant. The June release adds auto-generated llms.txt so AI agents can discover and cite docs accurately, plus native Mermaid diagrams. Enterprise plumbing (SCIM, multiple JWT configs, CSP controls) rounds out the cadence.
The product is positioning the knowledge base for the AI-agent era on two fronts: making docs machine-readable and citable (llms.txt, MCP search), and making content operations agent-driven (publish/workflow via MCP). Around that core bet, Document360 keeps hardening multilingual, security, and analytics for enterprise buyers.
Expect continued deepening of the MCP and AI-discoverability surface — more lifecycle actions exposed to assistants and richer agent analytics — alongside the steady enterprise security and localization work.
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