Designing Verifiable Agentic Workflows with Calibrated Grounding
How we eliminate hallucinations in production multi-agent chains using deterministic tool verification, dynamic provenance trees, and calibrated confidence bounds.
How we eliminate hallucinations in production multi-agent chains using deterministic tool verification, dynamic provenance trees, and calibrated confidence bounds.
How we enforce mathematical verification, provenance tracking, and strict runtime contracts when working with probabilistic models.
Engineering a high-throughput vector caching layer with dynamic thresholding, reducing P99 latency from 1,200ms down to 14ms.
Building a high-throughput vector caching proxy handling millions of LLM requests with dynamic cosine thresholds, reducing GPU costs by 41% and latency from 1,200ms to 14ms.
A framework for continuous regression testing, adversarial perturbation, and automated consistency monitoring.
How we track model regressions, prompt drifts, and alignment decay when deterministic test datasets do not exist, using synthetic perturbation and adversarial jury models.
Why modern software suffers from needless complexity, and how embracing flatfiles, native standards, and restraint creates enduring software.
Why single multi-thousand-token prompt files are an anti-pattern, and how dynamic context compilation unlocks 3x lower latency and higher reasoning accuracy.
> *"If you can keep your head when all about you / Are losing theirs and blaming it on you..."* Rudyard Kipling's **"If—"** (first published in *Re...