CHECKLIST
The validation gates before an LLM judge is allowed to score anything that matters: the agreeableness bias numbers (96% TPR but <25% TNR on invalid outputs), the NeurIPS 2025 finding that forced-choice validation picks judges up to 31% worse, bias audits, and the human-calibration protocol.
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How to wire LLM eval gates into CI without flaky merges or runaway cost: tiered PR-smoke vs nightly suites, multi-trial pass rates instead of single-run pass/fail, baseline-relative thresholds, path-filtered triggers, and framework-neutral wiring for promptfoo, DeepEval, and Braintrust.
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What to log from agent runs for SOC 2 and incident investigations: tool-call inputs and outputs, permission decisions, model provenance, tamper evidence - plus the retention pricing math (LangSmith vs Langfuse) that decides build vs buy.
CHECKLIST
What must be in place before an AI agent hits production: tracing coverage, eval gates, cost SLOs, rollback paths, and alerting thresholds - with real platform limits (LangSmith 5k free traces, Langfuse 50k free units) and a buy-vs-build call for each layer.
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A vetting gate for third-party MCP servers: maintenance recency, permission scope, provenance, and CVE screening. Only 40.9% of measured MCP servers were updated in the last 90 days - here is how to decide install, sandbox, or reject.
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Before deploying Claude in Chrome or any computer-use agent: which permission boundaries are enforceable vs cosmetic, how to quarantine hostile web content, and what Anthropic's own 11.2% injection success rate means for your rollout.
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What to gate before letting Claude Code, Codex, or Copilot coding agent open PRs in CI: scoped tokens, branch protection that actually applies to bots, secrets isolation, per-run cost caps, and rollback of agent commits - with GitHub's official requirements and the June 2026 billing episode as evidence.
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Local stdio or remote-hosted MCP in production? The deployment checklist for the 2026-07-28 spec: OAuth 2.1 + PKCE, iss validation, resource indicators, stateless session handling - anchored by CVE-2025-6514, real latency benchmarks, and real credential-hygiene data.
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Deciding whether agent traces must stay in your infrastructure - and what self-hosting Langfuse or Phoenix actually costs in ops. The key asymmetry: Langfuse self-host is free MIT; LangSmith self-host is Enterprise-only.
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Which SOC 2 controls an AI-agent SaaS actually needs before enterprise deals close: agent action audit trails, tool-permission policies, LLM sub-processor disclosure, and incident response for agent-caused events - with real incident evidence and real cost numbers.
CHECKLIST
A checklist for business owners who want agent native digital workers to reduce admin work, update systems, route requests, and prepare reports.
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A business-owner checklist for building an agent native support digital worker that replies faster, escalates properly, and keeps customers from waiting.
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A plain-English checklist for business owners choosing the first agent native digital worker to build for sales, support, admin, or operations.
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A practical checklist for building an agent native digital worker that follows up with leads, updates your CRM, and stops opportunities from slipping.
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A readiness checklist for business owners who want agent native digital workers to help with routing, reporting, approvals, and daily operations.
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A practical launch checklist for teams shipping agentic SaaS products, focusing on execution boundaries, automated evaluation, and strict compliance for SOC2, HIPAA, and DORA.
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A deployment checklist for air-gapped and private-first AI agent infrastructure. Covers MCP security, Zero Trust networking, local RAG, and isolated tool execution.
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A practical checklist for teams building Stripe billing flows that survive retries, duplicate events, redirect failures, and operational drift.