Playbooks / Domain Playbooks

Domain Playbooks

Domain-specific playbooks — customer support, research, sales, data analysis, DevOps — what to build, what to skip.

  1. Customer-Support Agents
    Optimize deflection subject to a near-zero confident-wrong-answer rate: grounded answers autonomous, transactions gated, tone graded in the eval, clean handoff over a confident guess.
  2. Data & Analytics Agents
    The failure mode is a confidently wrong number: schema/semantic-layer grounding, read-only execution, verification as a separate stage, and abstention scored above confident error.
  3. DevOps & SRE Agents
    Read-only first because the blast radius is production: diagnosis before remediation, runbooks as tested tools, limits in the tool signature, change control unchanged by the operator being a model.
  4. Research & Synthesis Agents
    A fabricated source voids the whole deliverable: retrieve-then-write-then-verify, citation faithfulness as a hard constraint, disagreement preserved not averaged, depth vs breadth as a bounded budget.
  5. Sales & GTM Agents
    The failure mode is automated spam at scale: value in research/personalization not volume, consent as an upstream fail-closed gate, human sign-off scaling with reach, spam-risk weighted heavily in the eval.
  6. Adapting a Playbook to Your Domain
    The meta-method behind every playbook: derive a new vertical by answering five questions in order — job, autonomy by reversibility, tools as grounding-and-limit, eval mirroring the cost asymmetry, structural guardrails.