AI agent features are blocked more by reliability than skill
For AI agent features in real products, the main blocker seems to be whether users can trust them, not whether they can perform impressive tasks. Current production agent material points to as a bigger problem than or compliance. Many production agents are designed to stop after about 10 steps before a person must step in, even when the model underneath could keep going.
Conversations with SaaS startup founders show the same pattern. Showing that the feature can do something is easier than getting users to trust an unattended, multi-step process. The risk is higher when the agent touches live customer data or real payments.
Practical answers may include more , tighter limits on what the agent can change by itself, or other safeguards.
Key points
- appears to be the main blocker for production AI agent features.
- Many production agents stop after about 10 steps before .
- Users may not trust unattended work when several actions happen in a row.
- Live customer data and real payments make the risk much higher.
- Safer designs may use or narrower .