Pintle publishes research and free tools on running GenAI in production — cost, risk, and architecture for the engineering and business leaders making the call.https://pintle.dev/enhttps://pintle.dev/whitepapers/enterprise-ai-from-pilot-to-pnl/https://pintle.dev/whitepapers/enterprise-ai-from-pilot-to-pnl/Part 1 of the Enterprise AI Value series. The operating-model causes behind the ~95% pilot failure rate, a six-stage value loop with four hard gates, benefit attribution rules that survive finance review, and the routing/caching/batching economics that cut one workload's LLM run cost 88%.Mon, 06 Jul 2026 00:00:00 GMTAI economicsFinOpsValue realizationhttps://pintle.dev/whitepapers/enterprise-ai-reference-design/https://pintle.dev/whitepapers/enterprise-ai-reference-design/Part 3 of the Enterprise AI Value series. A concrete, vendor-swappable platform design — reference stack with replacement seams, repository and environment layout, six gated pipelines, gateway and policy configuration, drift monitors, investment scenarios, and a 90-day execution plan, every element traceable to a measured claim from Parts 1 and 2.Mon, 06 Jul 2026 00:00:00 GMTReference architecturePlatform engineeringMLOpshttps://pintle.dev/whitepapers/enterprise-ai-silent-failures/https://pintle.dev/whitepapers/enterprise-ai-silent-failures/Part 2 of the Enterprise AI Value series. How to price model drift as a financial exposure, the five-stage incident loop for failures that produce no error messages, the obligations registry that keeps governance stable while regulations churn, and the replaceability design that avoids a forced rewrite at year six.Mon, 06 Jul 2026 00:00:00 GMTModel riskPlatform resilienceMLOpshttps://pintle.dev/whitepapers/hardening-codex-for-the-enterprise/https://pintle.dev/whitepapers/hardening-codex-for-the-enterprise/Nineteen customization surfaces in the open-source Codex CLI, each tied to a verified source location and classified by deployment path and difficulty. A filterable matrix, five highlighted surfaces, deployment phasing, and the honest limits of client-side hardening.Sat, 23 May 2026 00:00:00 GMTEnterprise hardeningAI supply chainSecurity engineeringhttps://pintle.dev/whitepapers/agentic-cli-architecture-today/https://pintle.dev/whitepapers/agentic-cli-architecture-today/Part 1 of the Agentic CLI Architecture series. Three production agentic coding tools, ~5,800 source files between them, eighteen dimensions of comparison. A field guide to where Claude, Codex, and Gemini converge — and the surprising places they don't.Sun, 17 May 2026 00:00:00 GMTAgentic AICLI architectureComparative analysishttps://pintle.dev/whitepapers/agentic-cli-architecture-tomorrow/https://pintle.dev/whitepapers/agentic-cli-architecture-tomorrow/Part 2 of the Agentic CLI Architecture series. Eleven design recommendations distilled from the comparative study — caching as a Merkle DAG, sandboxing as one microVM per tool call, permission as object capabilities, persistence as event sourcing — each with the closest-in-practice precedent from the three tools we surveyed.Sun, 17 May 2026 00:00:00 GMTAgentic AISystem designComputer sciencehttps://pintle.dev/whitepapers/frontier-ai-metrics-governance/https://pintle.dev/whitepapers/frontier-ai-metrics-governance/Part 3 of the Frontier AI Threat Defense series. The metrics that keep an AI security programme honest — twelve KRIs, eleven KPIs with a three-year ramp, the one-page board dashboard, examiner focus by authority, and a full source-integrity register.Sat, 16 May 2026 00:00:00 GMTRisk metricsGovernanceAudit & assurancehttps://pintle.dev/whitepapers/frontier-ai-red-team-playbook/https://pintle.dev/whitepapers/frontier-ai-red-team-playbook/Part 2 of the Frontier AI Threat Defense series. Turns strategy into operational testing — 20 attack vectors mapped to ATT&CK and ATLAS, six banking tabletops, five red-team objectives, and eleven detection use cases sequenced for rollout.Sat, 16 May 2026 00:00:00 GMTRed-team operationsThreat detectionAgentic AI securityhttps://pintle.dev/whitepapers/frontier-ai-strategic-context/https://pintle.dev/whitepapers/frontier-ai-strategic-context/Part 1 of the Frontier AI Threat Defense series — the board-level picture. The two frontier-lab initiatives, the capability timeline, the defender's irreducible advantage, the US/Canada regulatory framework, and an indicative budget for a Tier-1 bank.Sat, 16 May 2026 00:00:00 GMTCyber riskBanking & securitiesRegulatory compliance