Tool Stack
Internal Ops Agent Stack
Tool-calling agent stack for internal triage, routing, research, and operations.
Purpose
Let an AI system interpret operational context and trigger controlled internal actions.
Tools Included
- LLM with tool calling
- Workflow engine
- Permissioned API layer
- Approval queue
- Audit log
Workflow Supported
Alternatives
- Pure Make scenario for deterministic routing
- Human-only ops queue
Use Cases
↳ connected nodes
Workflow↳ linked
AI Operations Alert Triage
Classify operational alerts, identify likely causes, and route fixes automatically.
Workflow↳ linked
AI Agent Monitoring System
Track agent runs, failures, cost, and review queues from one operational surface.
Use Case↳ linked
Finance Team Adds AI Controls Without Slowing Invoices
Invoice automation gained anomaly triage and human approvals for high-risk cases.
Use Case↳ linked
Support Team Replaces Wiki Sprawl With a Knowledge Graph
A support org connected policies, playbooks, tickets, and RAG answers into one system.
Dictionary↳ linked
Tool Calling
The model-to-system interface that lets an LLM trigger external actions.
Dictionary↳ linked
Human-in-the-Loop
A control pattern where humans review high-risk AI decisions before execution.
Comparison↳ linked
Make vs n8n for AI Automation
Choosing between managed visual automation and self-hostable workflow control.
Prompt↳ linked
Tool Calling Specification Prompt
Design safe tool schemas before connecting an AI model to real actions.
Prompt↳ linked
Operational Anomaly Triage Prompt
Classify alerts and route incidents with evidence and recommended next steps.
Dictionary↳ linked
MCP (Model Context Protocol)
Open protocol that lets LLMs connect to tools, data sources and apps through a standard interface.
Dictionary↳ linked
Guardrails
Runtime checks that constrain LLM inputs and outputs to keep behavior safe and on-spec.