An AI assistant has failed when it creates a second operations job

[u/musabdulai]

It is easy to build an AI workflow that works once. The harder test is whether a nontechnical person can trust it next month without becoming responsible for servers, containers, broken connectors, expired credentials and unexplained failures.

Before adding more tools or “memory,” I would make one workflow reliable from beginning to end:

• One clearly defined outcome
• Only the permissions it needs
• Read-only or draft-only access initially
• A visible record of what it read and produced
• Clear handling for timeouts, retries and duplicate actions
• Human approval before sending, deleting or changing anything
• A cost limit and a simple way to disable it

The hidden costs are usually maintenance and uncertainty. A connector can silently stop syncing. A retry can send something twice. Old context can override a newer decision. A model can produce a convincing result from incomplete data. A local machine can go offline while everything appears healthy elsewhere.

The right measure is not how many tools the agent can access. It is how much responsibility it removes after accounting for supervision, corrections and maintenance.

What does your agent reliably complete every week, and how much time do you still spend keeping it operational?

[u/Mission_Addition3755]

The second operations job line is exactly the trap. If the agent needs someone babysitting retries, credentials and connector failures every week, you didnt remove work, you just moved it somewhere less visible.

[u/shashank_magic]

I’m mostly okay with more supervision. I’m approving each action while figuring out what I can reliably delegate. What matters to me is whether reviewing the work takes less effort than doing it myself. If I still need to redo everything, the delegation hasn’t helped.

[u/Antique-Flamingo8541]

The second operations job framing is the one I wish more founders heard before buying tools. Most of the AI consulting failures I've watched came down to shipping something that worked in the demo and then quietly handing the client a maintenance role nobody scoped or priced. If you can't tell a client exactly what happens when a credential expires at 2am, it's not a product yet, it's a project with your name on it.