The 34x faster / 12x cheaper framing lands, but I'd love to see the actual benchmark suite before I forward this to my portfolio compliance leads. Which violation categories are you covering out of the box?
D
Daniela Okafor18d ago
ok wait, an enforcement model that sits inline with agent outputs is genuinely the missing piece. Every AI team I talk to is duct-taping regex and a scared intern to catch this stuff.
M
Marco Bianchi18d ago
"The Enforcement Runtime for AI" is fine but "Anchor: the seatbelt your agents forgot to wear" is right there. Free of charge.
Y
Yuki Tanabe18d ago
Every enforcement model I've seen either overblocks into uselessness or misses the subtle stuff that actually gets you sued. Curious which side of that tradeoff Anchor lands on when the demo lights go off.
V
Viktoria Sørensen18d ago
34x faster than what baseline though. GPT-4o with a 2k token system prompt asking it to "be compliant pretty please" isn't exactly a hard bar to clear.
N
Nadia Farouk18d ago
Poking at the docs now. Any streaming support for token-level enforcement, or does it evaluate on completed responses only? Also webhooks for flagged events would be chef's kiss.
O
Oleksiy Reznik18d ago
Hey Kumesh, would love to chat about the frontier model comparison methodology for a piece I'm putting together. DMs open whenever.
H
Hasan Qureshi18d ago
Building in the eval space too and honestly happy someone is finally saying enforcement out loud instead of hiding behind "guardrails." Different wedge from ours but rooting for you.
L
Li Wen18d ago
The tweet buries the lede. "Caught more violations than every frontier model" should have been the first line with the number pinned to a chart, not paragraph three.
K
Kenji Alvarado18d ago
First tap on the site was clean, but I clicked "Live today" expecting a sandbox and got a contact form. Rough drop-off for a launch day tweet.
T
Thabo Molefe18d ago
Reminds me a bit of what the Cresta and Norm Ai crowds are circling, but at the runtime layer instead of the policy layer. If the latency claims hold up this is a real primitive.
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Comments (11)
The 34x faster / 12x cheaper framing lands, but I'd love to see the actual benchmark suite before I forward this to my portfolio compliance leads. Which violation categories are you covering out of the box?
ok wait, an enforcement model that sits inline with agent outputs is genuinely the missing piece. Every AI team I talk to is duct-taping regex and a scared intern to catch this stuff.
"The Enforcement Runtime for AI" is fine but "Anchor: the seatbelt your agents forgot to wear" is right there. Free of charge.
Every enforcement model I've seen either overblocks into uselessness or misses the subtle stuff that actually gets you sued. Curious which side of that tradeoff Anchor lands on when the demo lights go off.
34x faster than what baseline though. GPT-4o with a 2k token system prompt asking it to "be compliant pretty please" isn't exactly a hard bar to clear.
Poking at the docs now. Any streaming support for token-level enforcement, or does it evaluate on completed responses only? Also webhooks for flagged events would be chef's kiss.
Hey Kumesh, would love to chat about the frontier model comparison methodology for a piece I'm putting together. DMs open whenever.
Building in the eval space too and honestly happy someone is finally saying enforcement out loud instead of hiding behind "guardrails." Different wedge from ours but rooting for you.
The tweet buries the lede. "Caught more violations than every frontier model" should have been the first line with the number pinned to a chart, not paragraph three.
First tap on the site was clean, but I clicked "Live today" expecting a sandbox and got a contact form. Rough drop-off for a launch day tweet.
Reminds me a bit of what the Cresta and Norm Ai crowds are circling, but at the runtime layer instead of the policy layer. If the latency claims hold up this is a real primitive.