Cursor and InsForge: build a LinkedIn automation app

The tutorial builds Pulse, a LinkedIn content automation app inspired by Supergrow. The presenter uses Cursor as the coding assistant for a Next.js project, then connects InsForge through MCP to configure authentication, database tables and backend features. The workflow uses hosted services; running the development server on localhost does not establish an offline or self-hosted AI setup.

The presenter identifies the coding model as Claude Opus 4.7 in max mode. Prompts cover the landing page, a protected app route and user preferences for topics, audience and writing tone. GPT-5.4, accessed through InsForge's model gateway, generates content ideas and drafts. The LinkedIn integration requires developer app credentials, permissions and an authorized callback URL, which must change after deployment.

Cookiebot setup includes banner customization and a localhost testing alias. Later sections add a posting queue with time zone and interval controls, followed by deployment through InsForge, whose dashboard lists Vercel as the provider. The scheduling demonstration shows queued records rather than a scheduled post publishing later.

The presenter requests five front-end tests through TestSprite and reports that all pass. The selected tests and screen recordings provide a limited demonstration rather than comprehensive coverage.