Enterprise
Enterprise-Ready AI Security
The AI Security Questionnaire Playbook
A practical, public guide to answering the AI section once, building a reusable standing pack, and keeping evidence current.
22 minRead playbook
Public Technical Guides
Playbooks for the AI systems buyers and engineers inspect.
Use the checklists, code, eval patterns, and migration controls directly. Each guide names the failure model, the evidence to collect, and the artifact your team should keep.
Start here
Implementation library
Diagnose the system before replacing it
Each playbook starts with a measurable failure model, preserves the parts that already work, and leaves a reusable artifact in your repository.
Reliability
AI Reliability Engineering
RAG Rescue: From Demo Retrieval to Measured Reliability
A code-forward guide to diagnosing retrieval failures, building a golden dataset, and putting RAG evals in CI.
26 minRead playbook
Reliability
AI Reliability Engineering
Replacing Intercom Fin Without Losing Support Quality
A measurement-first teardown of prompts, retrieval, escalation rules, and cost-per-resolution for an owned support agent.
18 minRead playbook
Reliability
AI Reliability Engineering
Security Patterns for Production MCP Servers
Auth, tenant isolation, scoped tools, audit trails, and failure containment for remote multi-tenant MCP servers.
20 minRead playbook
Reliability
AI Reliability Engineering
A Two-Week Anthropic-to-Open-Source Migration Playbook
How to establish eval parity, adapt prompts, route traffic, and roll back safely during a model-provider migration.
24 minRead playbook
Have a production failure now?
Turn the relevant playbook into a fixed implementation scope.
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