> Let’s say you have an incident, and you need a resolution. Do you send out the AI for the hunt and fix it within 5 minutes, or spend 30 minutes going around, figuring out the problem yourself?
Let’s say you have an incident, and you need a resolution. Do you spend 5 minutes tinking, then solving the problem or send out the AI for the hunt and spend 30 minutes grappling with hallucinations and non-sensical output?
The 5 minutes I’ve seen is usually by someone that will send the complete output to someone else to decipher, while saying they have figured it out. Then they’ll turn into a meat proxy between the team and the agent.
In real life, for systems where incidents that require such rapid responses, you usually have fail-safes an killswitches. When you were designing your system, did you put in place alerts and monitoring to mitigate risks?
Let’s say you have an incident, and you need a resolution. Do you spend 5 minutes tinking, then solving the problem or send out the AI for the hunt and spend 30 minutes grappling with hallucinations and non-sensical output?
The 5 minutes I’ve seen is usually by someone that will send the complete output to someone else to decipher, while saying they have figured it out. Then they’ll turn into a meat proxy between the team and the agent.
In real life, for systems where incidents that require such rapid responses, you usually have fail-safes an killswitches. When you were designing your system, did you put in place alerts and monitoring to mitigate risks?