LLM gateways ignore silent failures, loops, irrelevant outputs & wasted tokens. ACL makes your AI 2x more productive - delivering exactly what you mean, faster. Powered by the Kepler Intelligence Layer, ACL filters noise, recovers failures, detects & breaks loops, and tracks every token in real-time. One API key. No code changes. Works with every LLM & gateway. Benchmarked across 7 models - 17/18 categories won. Free tier. Input-only billing.

Hey Hunters! 👋 We've all been there - your AI pipeline looks green, but the responses? Most of the time they're irrelevant, noisy, or just completely blank. No error. No alert. Just bad output silently killing your workflow. That's exactly why we built ACL. ACL is the reliability layer that sits between your app and any LLM. It actively enhances output quality in real-time - filtering noise, restructuring irrelevant responses, and making sure you get exactly what you actually asked for. And on top of that, it catches Silent failures, kills loops before they drain your budget, and tracks every token live. One API key. No code changes. No infrastructure headache. Benchmarked across 7 Providers including Claude, GPT, Gemini & Grok - ACL outperformed direct AI in 17 out of 18 categories. Not a claim. A number. Free tier is live right now 👉 acl.fridayaicore.in What's the worst AI issue you've hit in production? Drop it below 👇

Loop detection without adding per-call latency is the hard part. What signal catches it early without flagging legit recursive agent calls?

@borrellr_ We rely on lightweight similarity signals over short response windows, tracking streaks of high-consistency outputs rather than single comparisons. The signal is incremental and stateful, so it surfaces early (within a few turns) without adding per-call latency.

To avoid flagging legitimate recursion, we require sustained consistency before intervention and incorporate positional/context awareness so progressive steps aren’t treated as loops. This lets structured workflows pass while catching stalled trajectories reliably.

Loop detection without adding per-call latency is the hard part. What signal catches it early without flagging legit recursive agent calls?

ACL- Adaptive Context Layer

The missing reliability layer for production AI.

The missing reliability layer for production AI.