Asif Waliuddin is the Founder and CEO of NXTG.AI, where he leads strategic initiatives in enterprise AI transformation.
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.
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 at the authority source, verifiers separate from generators, hooks that block, typed state over prose — making individually fallible agents collectively trustworthy, with the line drawn exactly where the evidence stops.
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 returns the current record rather than whatever was remembered. The substrate our own multi-agent fleet already thinks through, seams and all.
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.
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 estimate of ~15%; 4,726 passing tests could not prove real-database reachability.
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.
