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Better questions. Better agent operations.
Practical guides to silent agent failures, cost monitoring, human approvals, and output review. Explore the glossary and build a supervised rollout checklist.
6 guides
Agent monitoring vs. agent supervision
Why execution health, output quality, and permission to act need separate decisions.
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A practical checklist for your first supervised agent
Define the task, verify the reports, test a failure, and prove the review path before expanding.
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Where human approval belongs in an agent workflow
Choose meaningful decision points and understand the limits of cooperative agent controls.
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How to detect silent failures in scheduled AI agents
Separate heartbeat health, schedule coverage, run completion, and output freshness to investigate work that quietly goes missing.
Read the guide →AI agent cost monitoring: what your numbers actually mean
Understand reported token usage, cumulative run costs, missing measurements, and the difference between visibility and a spending limit.
Read the guide →Agent approval is not execution verification
Understand the difference between permission, runner acknowledgement, reported completion, and independently checked outcomes.
Read the guide →A USEFUL PLACE TO START
Make your first agent pilot reviewable.
A practical checklist for reporting, failure testing, outcome review, and guarded actions. Use it in your browser or download it for your team.
START WITH ONE WORKFLOW
Put your next run
under supervision.
Connect the agent you already run. Build confidence from the work you can actually review.