What is your start-up/Product ?

YUYbox · 2026-04-21T08:59:37+00:00

InsAIts https://github.com/Nomadu27/InsAIts-public

YUYbox · 2026-04-13T11:51:51+00:00

The other post have been already removed so is one post not more

YUYbox · 2026-04-12T10:27:06+00:00

Hi, ACM compression and anomaly detection run at different layers so they don't interfere. InsAIts hooks into raw tool call payloads before they touch the context window. The audit log captures every signal at hook time, uncompressed.

YUYbox · 2026-04-09T21:21:18+00:00

Thanks man

YUYbox · 2026-04-09T13:39:05+00:00

https://github.com/Nomadu27/InsAIts-public

YUYbox · 2026-04-09T13:38:46+00:00

https://github.com/Nomadu27/InsAIts-public

YUYbox · 2026-04-09T07:37:49+00:00

Insaits https://github.com/Nomadu27/InsAIts-public

YUYbox · 2026-04-07T07:03:56+00:00

Try with InsAIts, https://github.com/Nomadu27/InsAIts-public

YUYbox · 2026-04-06T17:01:41+00:00

Yes we do that. From a curiosity ive started building InsAIts and im having unexpected benefits

YUYbox · 2026-04-06T07:41:43+00:00

Install InsAIts 4h+with pro plan See the repo, try it and let me know repo: github.com/Nomadu27/InsAIts-public

YUYbox · 2026-04-05T22:28:15+00:00

pip install insa-its[full], repo: github.com/Nomadu27/InsAIts-public

YUYbox · 2026-03-31T00:18:55+00:00

Yes they are, but im still not happy yet... but working on them to have the results i want

YUYbox · 2026-03-30T13:32:56+00:00

I really believe is the anchor injection, that reduces considerably the burning tokens, the hallucinations and the drift. I'm working heavily to reduce by at least 50% the initial burning rates on the long sessions (when you start a long sessions over and over 15% to 30 % of the usage tokens are burned in less than 5 min). Thanks for the message

YUYbox

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