Models Generate Code.
Control Systems Make It Production-Grade.
Every AI vendor is selling a faster engine while leaving your main branch unguarded. The way PostgreSQL sits between concurrent apps and raw disk, Gantlett Systems Inc. partners with engineering teams (5 to 100+ developers) to install the Nomos deterministic control layer and air-gapped GPU infrastructure between your coding agents and Git - persisting spec-to-code contracts, cutting cloud retry spend by 85%+, and making unverified AI debt physically impossible to merge.
TraceLite-AI/TraceTrial-Bench Community Runs
(GitHub ↗ · Hugging Face ↗) Inspect 190-Container Audit ↓Unmanaged Agents & Legacy CI vs. Deterministic Control Systems
Why prompt honor systems and human PR checklists collapse under AI velocity - and why high-trust engineering teams insert a dedicated transactional control layer underneath their coding agents.
Engineering Dimension
Unmanaged Agents + Legacy Checklists
Gantlett Deterministic Control Systems
Architectural Category
No Middle Layer: Stochastic generators mutating branches directly, gated only by 2015 human PR checklists.
Transactional Control Layer (PostgreSQL for Git): Read-only main, disposable Git worktrees, persisted spec-to-code contracts, anti-reward-hacking AST probes, and atomic 2PC merges.
Brownfield & 11-Language Polyglot
Greenfield Toy Illusion: Agents spawn duplicate helpers, mutate legacy seams, and strand reasoning in vanished chat tabs.
Diff-Scoped Ratchet & Provenance: Zero Day-1 repo rewrite across 11 languages; navigation-first topology maps, Git Notes receipts, and mneme.db memory lift zero-hint OSS passes. Read Zero-Hint Polyglot OSS Audit (3/6 vs. 2/6) ↗
Inference Strategy
100% Cloud API Lock-in: High token tax on every single routine task, or model drift when switching to smaller open-weight models.
Hierarchical Fail-Up + Persisted Spec Translation: 70%+ solved on $0 local SLMs without architectural drift via bilateral Go AST/JSON Schema twins, <15ms per-edit blast-radius steering, and mneme.db episodic graduation; cloud escalated only when needed.
Token Bleed & Retry Loops
Context Thrashing: 15-20 exploratory turns re-sending 100k+ tokens ($3.00+ per patch).
85%+ Token Reduction: Surgical 1-2 turn AST green loops in isolated sandboxes.
Hardware Deployment
Requires complex cloud DevOps pipelines or expensive enterprise API tiers.
Flexible Deployment: Bring-your-own-metal, private VPC, or Turnkey Hardware Appliances.
Definition of Done
Vague markdown prompt instructions easily skipped or forgotten by LLMs.
7x3 Invariant Suite (21 Cells) and compiled Go AST sensor probes with machine-enforced verification.
Data Sovereignty
Proprietary intellectual property streamed across third-party networks.
100% Air-Gapped / On-Premise execution with zero external code telemetry.
Measured Per-Seat Developer Throughput & Defect-Escape Control (DORA & Audit KPIs)
Why Frontier Models Burn Budget Masking Broken Harnesses
Empirical findings from Trial by Trace (TraceTrial-Bench), with our 190-container paired traces independently listed in the official benchmark repository and dataset.
In the Trial by Trace authors' published 3,420-run industry study, frontier cloud models
(Opus 5) spend $0.66 to $2.12 per task silently absorbing unmanaged
harness defects (46.3%). In our SHA-256 verified 190-container paired A/B audit holding #1-ranked Claude Code v2.1.220 and Gemini 2.5 Flash-Lite fixed across
all 95 tasks (where stock harness mechanics caused 57.9% of failures), inserting the
Nomos Go control substrate cut harness faults and lifted deliverables without cloud retry waste:
Architectural Pillars
We replace free-range, unmanaged prompt loops with compiled Go AST rails, hermetic worktree sandboxes, and immutable task DAGs.
14-Day AI Governance & Seam Charter Pilot
A fixed-scope 14-day engagement ($15k - $25k USD) led directly by Mark Gantlett. We wrap one high-friction module seam in read-only main, Golden Master characterization, custom AST/unit-lock probes, and Git Notes audit receipts.
- ✓ Fixed 14-Day Scope & Retained Test Harness IP
- ✓ Custom AST & Domain Unit-Lock Sensor Probes
- → Read 1-Page Executive Brief (/seam-pilot)
Air-Gapped Sovereign AI & Turnkey Appliances
Deploy high-performance local Small Language Models (SLMs) behind your corporate firewall on existing metal, private VPCs, or our pre-configured Turnkey Hardware Appliances (plug-and-play local GPU nodes with NixOS & Nomos Sovereign pre-installed).
- ✓ Turnkey Pre-Built Hardware Nodes Available
- ✓ Hierarchical Fail-Up (70%+ $0 Local SLM + Cloud)
- ✓ Zero Data Exfiltration & 100% Privacy
Nomos Sovereign Platform & Multi-Agent Execution
Built upon the free, open-source nomos Go substrate, we license and deploy the commercial Nomos Sovereign Tier 2 Engine: multi-agent autonomous headless worker pools (nomos code) burning down backlogs in parallel.
- ✓ Open-Core Go Engine + Commercial Tier 2 Engine
- ✓ Nomos Cockpit Real-Time DAG Task Control Plane
- → Launch Live 5-Pillar Glass Cockpit Demo ↗
Request a 20-Minute Seam & Governance Scoping
Queue a direct architectural review of your repository seam, agent token-thrash profile, air-gapped GPU appliance requirements, or Nomos Sovereign fleet deployment.
Principal Systems Architect Mark Gantlett personally leads up to two fixed-scope 14-Day AI Governance & Seam Charter Pilots ($15k - $25k USD) per month alongside enterprise Sovereign deployments.