Complete procedures with a way back.

Build a server-only OpenAI integration with project-scoped service accounts, tenant authorization, application quotas, project spend alerts, privacy-preserving audit events, retention controls, key rotation, and tested incident recovery.

Create a production-oriented GitHub App that verifies webhook signatures, deduplicates deliveries, obtains short-lived installation authentication, proposes labels and duplicate candidates, and requires a named human to approve every external label write.

Build a single-mailbox production reference that incrementally reads Gmail, classifies untrusted messages, treats attachments as quarantined metadata, prepares bounded reply proposals, and creates—but never sends—a Gmail draft only after an identified reviewer approves the exact proposal.

Build a complete Claude Code hook suite that blocks protected edits before execution, formats only reviewed source files after successful edits, emits privacy-safe local notifications, records sanitized configuration-change evidence, survives cwd changes, and has deterministic tests plus an emergency disable path.

Build a deterministic TypeScript router that prefers local Ollama, permits OpenAI cloud only for eligible data with explicit per-request approval, checks provider capabilities and application-level validation evidence, fails over without loops or silent egress, and records content-free HMAC audit events.

Build a bounded Responses API agent whose strict function calls are treated as proposals, whose deterministic state and policy select eligible tools, whose consequential actions require exact human approval, and whose adapters use durable idempotency, effect-aware retries, deadlines, safe outputs, correlated audit and full-bundle rollback.

Design and deploy a remote TypeScript Model Context Protocol server whose tools, resources and prompts have closed schemas, per-handler authorization, OAuth protected-resource discovery, exact audience and scope validation, isolated downstream credentials, bounded transport, audit evidence and a rehearsed rollback.

Derive exact Kubernetes API permissions from observed calls, create a dedicated ServiceAccount with no ambient token, bind a narrow namespaced Role, mount a short-lived audience-bound token only where needed, and prove both allowed and denied behavior.

Build an enforce-mode Ubuntu AppArmor profile, review bounded learning evidence, model execution/network boundaries, interpret denials and roll out without unconfined shortcuts.

Connect models to real capabilities with strict schemas, deterministic policy, human approval, idempotent execution, bounded retries and complete audit evidence.

Remove anonymous and test access, restrict administration, enforce TLS where remote clients are required, audit grants, and verify exposure.

Translate application requirements to distribution packages, reject duplicate SAPIs, verify extension provenance, and capture a reproducible manifest.