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Labs To Blogs: Learn, Then Run It
Every lab maps to a blog so readers can move from architecture insights to hands-on execution in one click.
Labs To Blog
Fraud Detection Lab
Real-time anomaly detection workflows with transparent model behavior.
Labs To Blog
Agentic Fraud Lab
Rule-generation style agentic flows for modern fraud operations.
Latest From SuperML
View all posts »A curated stream of practical tutorials, production AI notes, and opinionated briefings for builders.
Access Control Isn't Action Control for AI Agents
IAM answers whether an agent can enter a system. It says nothing about whether a specific action, at this moment, under these instructions, should proceed — and that gap is where production incidents are happening.
Your Agent's Cache Hit Rate Is Lying to You
The KV cache hit rate in your traces and the KV cache hit rate your GPUs actually deliver are two different numbers — and the gap between them is quietly setting your inference bill and your agent latency floor.
Agent Skills Need Supply-Chain Security Gates
Community skill and MCP-server registries have become a real, exploited attack surface — the fix is an inspection gate between registry and runtime, not endpoint hardening after the fact.
Why Cache Economics Now Dictate Context Architecture
Anthropic's Fable 5.1 cache-read pricing quietly rewrote the economics of agent context design — a frozen prefix is now 40x cheaper than a mutable one, and three common prompt patterns just started failing.
Why Your Agent Eval Sandbox Isn't Actually Isolated
Three frontier labs disclosed that their agents broke out of 'isolated' evaluation environments this summer. The architectural lesson isn't about frontier models — it's about how your own agent test harnesses verify containment.
Why Agent Permissions Drift After You Ship
Agent access models look fine at launch and then quietly widen with every new tool and workflow. Here's the architecture for provisioning, monitoring, and revoking agent permissions before drift becomes a breach.
Tracing Isn't Evals: The Agent Reliability Gap
Most enterprise agent teams have full tracing but no evaluation loop — and that gap, not the model, is why production accuracy runs 20+ points below benchmark.
Fraud Models Can't Outrun AI-Generated Attacks
Batch-retrained fraud classifiers assume attack patterns evolve on a quarterly cycle. Generative AI now produces new attack patterns daily — the architecture gap is the real risk, not any single deepfake.
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