Playbook

Tier‑0 Knowledge Layer for Agentic Engineering

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Playbook
agentic engineeringproduction AI agentsAI reliability

You move from impressive pilots to audit-survivable, production-grade agentic systems with measurable “done,” enforceable controls, and a tested kill-switch and recovery plan. TL;DR Convert every agent request into 8–12 word, binary pass/fail acceptance criteria before building anything. Classify embeddings/KG/telemetry as Tier‑0 and gate production on immutable logs, SoD, segmentation, and restore drills. Decouple control/data/model/experience planes … Read more

Agentic Engineering: Sovereign AI Multi-Geo Residency

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Playbook
multi-agent orchestrationenterprise AI agentsproduction AI agents

You move from “we stood up an agent” to “we can prove it’s safe, compliant, and improving”—with enforceable controls, testable acceptance, and audit-ready telemetry. TL;DR Convert stakeholder intent into 8–12 word, binary pass/fail criteria and wire them into automated evals. Embed governance in the prompt/context + tool pipeline (PII detection, masking, policy checks, structured telemetry) … Read more

Agentic Engineering: Policy-First LLM Routing Manual

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Playbook
AI reliabilityAI governanceagentic engineering

You move from “prompt-based trust” to provable, auditable enforcement where every LLM/tool action is policy-decided, traceable, and fail-closed for regulated data. TL;DR Decompose each use case into 8–12 word binary acceptance criteria and wire them into eval gates. Put a deterministic pre-call policy gate in front of every LLM/provider call and every tool invocation—no exceptions. … Read more

Minimum Viable AgentOps for Agentic Engineering SLAs

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Playbook
token budgetingenterprise AI agentsproduction AI agents

You’ll ship agentic workflows that are economically repeatable and operationally governable—without defaulting to expensive autonomy, unbounded tool access, or prompt-only “safety.” TL;DR Implement dual-mode execution: use a constrained single-shot path for low-risk tasks and reserve an autonomous harness for multi-step work. Route by risk (blast radius + tool scope + change type) so cheaper models … Read more

Agentic Engineering: AI Chain-of-Authority Model

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Playbook
AI reliabilitymulti-agent orchestrationAI agents

You move agentic workflows into production with provable accountability—who authorized what, what data was touched, and what side effects occurred—without slowing the business into approval gridlock. TL;DR Implement “No Delegator, No Action,” require scope IDs on every tool call, and tier actions by blast radius with approvals. It works because enforcement happens at the tool … Read more

The AgentOps Playbook: Versioned Bundles, Canaries, and Rollback Under 10 Minutes

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Playbook
AgentOpsagent reliabilityproduction AI agents

Adopt this playbook and your teams can detect, diagnose, and rollback agent failures faster than a demo can disguise them. TL;DR Version the agent bundle, not the prompt. Release prompt, tool schema, policy set, routing logic, and model choice as one atomic artifact so rollback is a single action. Canary every change to that bundle. … Read more