AI features
goloom is built to work well with AI — both as an assistant inside the app and as an API that agents can drive. Both surfaces share one tool catalog, so the assistant in the UI and an external agent over the API can do the same things and behave consistently.
In the app: the AI assistant
Section titled “In the app: the AI assistant”goloom has a built-in AI assistant — a screen-aware chat agent that drafts and edits posts, sets up campaigns and automations, and schedules publishing for the team. It is conversational, understands what you are currently looking at, and asks for confirmation before anything publishes, schedules, deletes or auto-publishes.
AI-assisted drafting
Section titled “AI-assisted drafting”goloom can help draft post copy. A per-team brand voice keeps generated text on-brand and avoids generic, obviously-AI phrasing, so output sounds like your team rather than a default model.
Drafts produced with AI can flow through the review queue for human approval before publishing.
Built for agents
Section titled “Built for agents”goloom ships a built-in MCP server so external agents like Claude or OpenClaw can plan and schedule posts through the same natural-language tools as the in-app assistant — no glue code required.
The REST API is likewise designed for automation:
- Stable JSON responses across core endpoints.
- Predictable, team-scoped resource paths.
- A validation endpoint so agents can check a post before scheduling:
POST /v1/teams/{teamID}/posts/validate. - A full API token lifecycle for secure agent onboarding.
Provider keys
Section titled “Provider keys”AI features require credentials for your chosen model provider, configured via environment variables. See configuration and the API reference for details.