SAIBA Stack: Agent work as daily operations
AI agents are powerful, but without an operating system the work becomes too person-dependent. Who owns the next step? Which prompt base should be used? How is output verified?
SAIBA Stack was built to make agent delivery a workflow, not just a chat.
The challenge
Agent work needed to repeat across sales, content, engineering, and customer projects without losing review points or human ownership.
The solution
The stack brings kickoff briefs, dated plans, reusable prompts, Hermes plugins, runbooks, and delivery conventions into one shared operating base.
What changed
The team can start faster, hand over better, and verify output more clearly. That makes AI work more practical inside an organization.
Technologies
| Technology | Usage |
|---|---|
| Hermes plugins | Slack and agent commands |
| gstack / gbrain | Agent skills and memory |
| 1Password | Safe access to credentials |
Services delivered by SAIBA
- • Agent operations
- • Prompt system
- • Runbooks
- • Workflow governance
Want to make agent work a stable part of operations?
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