SAIBA CLI: One command surface for AI workflows
Many AI workflows start in the terminal, continue in Slack, and end in a web interface. Without a shared command surface, the flow gets hard to keep simple.
SAIBA CLI was built as a thin client on top of the same backend services, so humans and agents can use the same path.
The challenge
Agent and content workflows needed fast access to the same functions: generate a post, view drafts, approve, publish, and fetch brand rules.
The solution
The CLI calls existing backend services and GitHub sources instead of copying logic locally. That keeps terminal, Slack, and review app close to the same system.
What changed
Work can be started and controlled faster, especially when an agent or developer is already in the terminal.
Technologies
| Technology | Usage |
|---|---|
| Deno | CLI runtime |
| Supabase Edge Functions | Backend calls for content and review |
| GitHub raw | Brand tokens and voice rules |
Services delivered by SAIBA
- • CLI design
- • Workflow integration
- • Review UX
- • Agent-facing tooling
Want to give your AI workflows a simple command surface?
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