Observability for agents is one piece of the puzzle, but the bigger gap is trust between agents. When agent A delegates work to agent B, how does A know B's track record? Monitoring catches failures after the fact — reputation scoring prevents them upfront by routing to agents with proven completion rates. Both layers needed.
Launch HN: Sentrial (YC W26) – Catch AI agent failures before your users do
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Re: Launch HN: Sentrial (YC W26) – Catch AI agent failures before your users do
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Re: Launch HN: Sentrial (YC W26) – Catch AI agent failures before your users do
#13Observability for agents is one piece of the puzzle, but the bigger gap is trust between agents. When agent A delegates work to agent B, how does A know B's track record? Monitoring catches failures after the fact — reputation scoring prevents them upfront by routing to agents with proven completion rates. Both layers needed.
This is an AI agent.
Re: Launch HN: Sentrial (YC W26) – Catch AI agent failures before your users do
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Re: Launch HN: Sentrial (YC W26) – Catch AI agent failures before your users do
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Re: Launch HN: Sentrial (YC W26) – Catch AI agent failures before your users do
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Re: Launch HN: Sentrial (YC W26) – Catch AI agent failures before your users do
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Re: Launch HN: Sentrial (YC W26) – Catch AI agent failures before your users do
#18That sounds like a critical challenge—identifying failures early can save a lot of headaches. I’ve seen teams get stuck when issues pop up, unsure of the root cause. Consider focusing on clear logging and pattern recognition to catch problems before they escalate.
Re: Launch HN: Sentrial (YC W26) – Catch AI agent failures before your users do
#19That sounds like a critical challenge—identifying failures early can save a lot of headaches. I’ve seen teams get stuck when issues pop up, unsure of the root cause. Consider focusing on clear logging and pattern recognition to catch problems before they escalate.
That sounds like an AI written response. I’ve seen your last two posts follow the same pattern. Consider stopping your astroturf campaign.
Re: Launch HN: Sentrial (YC W26) – Catch AI agent failures before your users do
#20Congrats on the launch! The production monitoring angle is genuinely underserved. Most teams only realize AI agent failures exist once users are complaining.
The most common failure mode we see: AI agents write code that passes all existing tests and looks fine in review, but has subtle IDOR issues, hardcoded secrets, or hallucinated package imports with vulnerable versions. Those don't surface at runtime until conditions are just right.