{
  "$schema_ref": "productization_drafts/AGENT_SERVICE_MANIFEST_SCHEMA.md (v0.3)",
  "canonical_url": "https://quantumbeard.ai/docking-station/services/agent_readiness_assessment/manifest",
  "service_id": "agent_readiness_assessment",
  "service_name": "Agent Readiness Assessment",
  "version": "0.1.0",
  "status": "live; v1; system-delivered (Guild) under human governance; not machine-callable",
  "purpose": "Assess whether an AI workflow or operating surface is actually ready to be relied on — surfacing hidden failure points, false confidence, weak handoffs, and operational unreadiness before they become expensive.",
  "definition": "An external, founder-governed readiness review of an AI workflow or deployment surface that a team is using, or close to using, in real work. It evaluates whether the workflow holds up under real operating conditions — edge cases, handoffs, operator role, escalation, and consequence — and returns a readiness judgment, identified failure points, and prioritized next-step guidance. Intake fit/scope routing is deterministic; the review is produced and delivered by the QuantumBeard assessment system (Guild) under explicit human governance, with human escalation for defined exceptions.",
  "problem_solved": "A demo is not an operating reality. Teams relying on AI workflows cannot see where confidence has outrun judgment — where the workflow is brittle, the operator role is fuzzy, handoffs are weak — until it costs them time, trust, money, or credibility.",
  "primary_audiences": [
    "teams and operators already using AI in real workflows, or close to it",
    "decision-makers weighing whether to rely on an AI workflow more heavily",
    "operators who want an external readiness judgment before scaling trust"
  ],
  "invocation_moment": "Before relying more heavily on an AI workflow — when a team wants a serious external read on whether it is ready for real or expanded use.",
  "required_inputs": {
    "workflow_description": "text, required — what the workflow/agent/operating surface does",
    "scope": "one bounded workflow | connects to a broader system | multiple moving parts",
    "operating_context": "current use, who uses it, how often, failure consequence",
    "materials": "any of: workflow description, prompts/instructions, sample outputs, logs/transcripts, screenshots, documentation, live interface or URL access (authorized only)",
    "fit_preference": "optional, non-governing — Spotlight | Floodlight | recommend | beyond-standard"
  },
  "expected_outputs": {
    "readiness_review": {
      "readiness_judgment": "a clear read on whether the workflow is actually ready",
      "failure_points": "identified weak spots, brittleness, and operational risk areas",
      "confidence_assessment": "where confidence is justified vs premature",
      "priority_actions": "prioritized next-step guidance",
      "delivery": "private, founder-governed review outcome you can use for decision-making"
    },
    "evidence_binding": "findings are explicitly tied to the evidence surface actually reviewed"
  },
  "selection_criteria": "Call when the question is 'is this AI workflow actually ready to rely on (or rely on more heavily)'. Do not call for build/implementation help, broader strategy/advisory, general AI education, or work that needs deeper internal/codebase access not part of the engagement.",
  "refusal_conditions": [
    "request to review a workflow the requester is not authorized to share",
    "request for the service to make a decision (it structures the judgment; it does not decide)",
    "request for implementation/build rather than a readiness review"
  ],
  "limit_conditions": [
    "assesses the workflow access, materials, and operating context the buyer provides",
    "the default review does not require direct codebase or repository access",
    "human governance with defined exception escalation (disputes, refund exceptions, sensitive holds, out-of-envelope flags, or total contract value at or above $25,000)",
    "bounded turnaround stated at intake"
  ],
  "out_of_scope": [
    "live remediation or implementation",
    "autonomous action of any kind",
    "verification of a trust or authorization boundary the system already claims (separate engagement)",
    "design or formation of a trust interface that does not yet exist (separate engagement)"
  ],
  "trust_evaluation_requirements": "Findings are tied to the specific evidence surface reviewed (the workflow access and materials the buyer provided); conclusions are not asserted more strongly than the evidence supports; the accountable human (Ken) is named for service governance and exception handling.",
  "human_oversight_expectations": "Routine fulfillment is system-owned: the QuantumBeard assessment system (Guild) produces and delivers the readiness profile under deterministic admissibility rules, and a positive verdict is never an automated score. A named human (Ken) governs the service and enters on defined exceptions only — disputes, refund exceptions, sensitive holds, out-of-envelope flags, or total contract value at or above $25,000. Routine delivery does not wait on per-engagement human sign-off.",
  "callability_interface": "None machine-callable in v1. Invocation is a human web intake at https://quantumbeard.ai/diagnostics/agent-readiness/ (the on-ramp routes to the qb-commerce intake/payment flow). There is no MCP tool or OpenAPI endpoint yet; a machine-callable invocation surface is a future cut.",
  "auth_permission_expectations": "Requester asserts authorization to share the workflow materials submitted for review. Payment is a buyer-initiated checkout (Stripe, LIVE mode — real payment). No delegated-agent mandate (AuthorityMandate) is required for v1.",
  "error_modes": [
    "out_of_scope_request",
    "ownership_unverified",
    "decision_requested_refused"
  ],
  "pricing_class": "one_time_fee; Spotlight $2,500 / Floodlight $7,500 (Stripe live mode)",
  "related_services": [
    "Trust Boundary Verification (request-led, human-reviewed; https://quantumbeard.ai/diagnostics/trust-boundary-verification/)",
    "Trust Interface Design (named engagement; fit-gated and routed by judgment, no public page and no intake surface by design — reached through Odin routing, not self-selection)"
  ],
  "transaction_classes": ["discovery_only", "human_approved_purchase"],
  "commercial_mode": "one_time_fee",
  "honesty_notes": "v1 is discovery + human-approved purchase only. Agents can discover this service and route a principal toward it; they cannot invoke it machine-to-machine. Routine fulfillment is system-delivered (Guild) under human governance — human escalation applies to defined exceptions, not ordinary operation. Payment rail is live (Stripe live mode)."
}
