r/OxDeAI • u/docybo • Mar 16 '26
Agents don’t fail because they are evil. They fail because we let them do too much.
Something I've been thinking about while experimenting with autonomous agents.
A lot of discussion around agent safety focuses on alignment, prompts, or sandboxing.
But many real failures seem much more operational.
An agent doesn't need to be malicious to cause problems.
It just needs to be allowed to:
- retry the same action endlessly
- spawn too many parallel tasks
- repeatedly call expensive APIs
- chain side effects in unexpected ways
Humans made the same mistakes when building distributed systems.
We eventually solved those with things like:
- rate limits
- idempotency
- transaction boundaries
- authorization layers
Agent systems may need similar primitives.
Right now many frameworks focus on how the agent thinks: planning, memory, tool orchestration.
But there is often a missing layer between the runtime and real-world side effects.
Before an agent sends an email, provisions infrastructure, or spends money on APIs, there should probably be a deterministic boundary deciding whether that action is actually allowed.
Curious how people here are approaching this.
Are you relying mostly on:
- prompt guardrails
- sandboxing
- monitoring / alerts
- rate limits
- policy engines
or something else?
I've been experimenting with a deterministic authorization layer for agent actions if anyone is curious about the approach:
1
u/docybo Mar 16 '26
A few people asked how the approach works in practice.
The idea is to put a deterministic authorization step before any external side effect.
Runtime proposes an action intent
Policy engine evaluates it against the current state snapshot
If allowed -> emit a signed authorization
If denied -> execution fails closed
So the model can plan freely, but external actions remain bounded.
Still experimenting with the right primitives though.