Nxtg

A selected, non-exhaustive set of NXTG.AI artifacts, each paired with the public probe that supports the narrow claim beside it. Run the probe; treat the result as time-stamped evidence.

Most agentic systems keep their intelligence in the wrong place: the transcript. Dx3 is our answer - a persistent, transactional substrate collapsing relational, vector, and graph retrieval into one PostgreSQL boundary, with truth-fidelity ranking that re

One night our agent fleet produced at least 9 wrong or almost-wrong claims the harness caught before they shipped - and at least one reached the running server before a second layer of defense masked the impact. An honest account of the harness - probes a

AI writes code fast - but a 2025 Veracode study found models chose insecure code 45% of the time, and a METR trial found developers 19% slower. Here is the gap.

Measurement fraud is when the AI system that produces code also grades it, so evals pass while the code is broken. Definition, how to detect it, and how to prevent it.

A production-scale study of brokerless multi-agent AI coordination: two autonomous agents on two machines governed a 21-project portfolio for 21 weeks using a version-controlled git repository as the sole coordination substrate - no message broker, no sha

How NXTG.AI governs 18 software projects with autonomous Claude Code agents using a 7-layer autonomy stack, a 23-principle constitution, and a file-based directive protocol that survives process death and machine reboots.

CRUCIBLE is a governance protocol that audits whether an AI agent's own test-and-coverage system provides evidence not controlled by the same producer. Three forensic cases: 3,277 passing tests hid silent data loss; a 77% coverage badge masked an audit es

A newer, higher-benchmarking model was available at the same price. I rolled my chief-of-staff agent fleet back to the older version anyway. Here is the evidence on both sides, including the part that disagrees with me, and why for agentic systems harness