Jev in Production: Operating Calibrated Decisions at Scale
English | September 27, 2026 | ASIN: B0HL5N8FY7 | 302 pages | Epub | 2.12 MB
**The Pilot Worked. Now Own It at Scale.**Getting Jev to answer in a demo takes an afternoon. Operating it across teams - with SLOs, budgets, incidents, vendors, and auditors - is the actual job, and no tutorial covers it. This book is the operations manual for TypeSafe's System One models in production: phased rollouts, decision SLOs, confidence-gated fleets, cost governance, multi-environment pins, security audits, incident runbooks, early-access vendor management, team enablement, and LLM-path decommissioning. Every pattern verified against official docs; every lab claim shipped with its published caveat.### What You'll Master
**Rollout Strategy**: shadow → canary → full with binary gates, RACI, scorecards, kill notices **Decision SLOs**: latency, calibration, availability, cost - with error budgets split by layer **Gated Routing at Scale**: central gate libraries, joint confidence-distribution alerting, saturation paging **Speculative Fan-Out**: budgeted width, relevance filtering, quarterly pruning, cost attribution **Composite Operations**: four-layer ownership, weights rituals, shadow duels, rollback flags **Intent Fleets**: shared registries, CI validators, taxonomy migrations, handler health **Cost Governance**: tagged ledgers, anomaly runbooks, showback-to-chargeback, forecasts, FinOps ownership **Environments**: pin matrices, 7-day promotion gates, parity audits, DR drills **Security**: data minimization, nine-field audit rows, DPA checklists, breach drafts, access reviews **Incidents**: decider lifecycles, calibration severities, game days, postmortems, MTTD/MTTR **Vendor Management**: watch rituals, exit kits, QBRs, renewals, escalation matrices **Enablement**: onboarding loops, ritual calendars, skills matrices, trainer programs **Decommissioning**: checklists, harvest loops, savings reports, retirement ceremonies### Who This Book Is For- **Platform/SRE Engineers** owning AI decision systems in production- **Engineering Managers** rolling Jev out across teams with budgets and auditors- **AI Engineers** graduating pilots to fleets without losing reliability- **Technical Leaders** evaluating early-access platforms with honest numbers### Technical Stack Covered**Platform:** TypeSafe AI, Jev (`jev-latest`, verified resolved `jev-1.13.0`)**API:** `POST api.typesafe.ai/v1/systemone`, Choice/Score/Noul, probabilities + confidence**Language:** Python 3.10+ (stdlib-first operational scripts)**Ops:** SLOs, golden sets, calibration bins, runbooks, game days, exit kits**Economics:** $0.042/MTok input, scenario forecasts, chargeback modelsRecommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
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