Tool Stack
AI Ops Observability Stack
Monitoring layer for agent runs, workflow health, cost, errors, and review queues.
Purpose
Give operators a control surface for production AI workflows.
Tools Included
- Run logging
- Prompt/version registry
- Structured output validation
- Analytics dashboard
- Human review queue
Workflow Supported
Alternatives
- LangSmith for LLM traces
- Custom Postgres event log
Use Cases
↳ connected nodes
Workflow↳ linked
AI Agent Monitoring System
Track agent runs, failures, cost, and review queues from one operational surface.
Workflow↳ linked
AI Reporting Dashboard Workflow
Generate weekly business reports from operational data with AI commentary.
Workflow↳ linked
AI Operations Alert Triage
Classify operational alerts, identify likely causes, and route fixes automatically.
Use Case↳ linked
Ops Team Cuts Weekly Reporting Time by 80%
A lean operations team replaced manual reporting with an AI reporting dashboard.
Use Case↳ linked
Finance Team Adds AI Controls Without Slowing Invoices
Invoice automation gained anomaly triage and human approvals for high-risk cases.
Dictionary↳ linked
Tool Calling
The model-to-system interface that lets an LLM trigger external actions.
Dictionary↳ linked
Structured Output
Forcing AI responses into predictable schemas that software can use.
Dictionary↳ linked
Automation Observability
Monitoring inputs, model calls, outputs, cost, latency, and failures across AI workflows.
Workflow↳ linked
Prompt Library Operations
Version, evaluate, and reuse prompts as operational assets rather than loose text snippets.
Prompt↳ linked
Tool Calling Specification Prompt
Design safe tool schemas before connecting an AI model to real actions.
Prompt↳ linked
AI Workflow Audit Prompt
Identify weak points, missing controls, and automation risks in a workflow.
Prompt↳ linked
Operational Anomaly Triage Prompt
Classify alerts and route incidents with evidence and recommended next steps.
Dictionary↳ linked
Guardrails
Runtime checks that constrain LLM inputs and outputs to keep behavior safe and on-spec.
Dictionary↳ linked
AI Evals
Reproducible test suites that measure LLM output quality across model, prompt and code changes.