Automated PR: merge branch 248-private-ai-policy-foundation into dev (created by Copilot) Co-authored-by: Ahmed Darrazi <ahmed.darrazi@live.de> Reviewed-on: #288
3.8 KiB
3.8 KiB
Specification Quality Checklist: Private AI Execution & Policy Foundation
Purpose: Validate full preparation-package completeness and implementation readiness before the feature moves into the implementation loop
Created: 2026-04-27
Feature: spec.md
Content Quality
- Business value and operator outcomes stay explicit
- The first slice is bounded to one governed decision boundary, two approved internal-only use cases, one workspace AI policy section, and one reused operational control
- Runtime-governance sections are present for an implementation-ready package, not treated as docs-only
- All mandatory sections are completed
Requirement Completeness
- No
[NEEDS CLARIFICATION]markers remain - Requirements are testable and unambiguous
- Acceptance scenarios are defined for workspace policy, governed allow-or-block decisions, and central pause/resume handling
- Edge cases are identified, including missing workspace context, unregistered use cases, blocked data classes, and active
ai.executioncontrol - Scope is clearly bounded away from customer-facing AI, external public-provider execution, queue or
OperationRunwork, and prompt or result persistence - Dependencies, assumptions, risks, and follow-up candidates are identified
Feature Readiness
- The first slice is small enough for a bounded implementation loop
- Concrete repo surfaces are named for workspace settings, system ops controls, audit reuse, and the new in-process AI support namespace
- Foundational work stays preparation-only and does not imply model runtime, customer UI, or a new AI table or result store
- The tasks are ordered, testable, and grouped by user story
- No unresolved product question blocks
/speckit.implementonce artifact analysis passes
Governance Readiness
- Workspace-owned AI policy truth is explicitly kept in existing settings persistence with no new AI table or result ledger
- The approved-use-case catalog remains locked to two internal-only consumers and keeps provider vocabulary vendor-neutral
- The package explicitly forbids customer-facing AI, external public-provider execution, and queue or
OperationRunsemantics in v1 - Existing workspace and platform authorization paths remain authoritative, with confirmation-protected
Pause AI executionandResume AI executionas the only destructive-like mutations in scope - Livewire v4 and Filament v5 compliance, unchanged provider registration in
bootstrap/providers.php, no new global-search resource, and no asset-strategy changes are explicit in the package
Test Governance Review
- Lane fit stays in focused unit plus feature validation with one architecture guard only
- Fixture and helper growth stays local to AI support, workspace settings, operational controls, and guard coverage
- No browser, heavy-governance, queue, or provider-emulator family is introduced implicitly
- Minimal validation commands are explicit in the plan and quickstart
- The active feature PR close-out entry remains
Guardrail
Review Outcome
- Review outcome class:
keep - Workflow outcome:
keep - Next command readiness:
/speckit.implementafter artifact analysis is clear
Notes
- This checklist validates the preparation package only:
spec.md,plan.md, supporting artifacts, andtasks.md. It does not claim that application code or an AI execution runtime already exists. - The active slice stops before customer-facing AI, external-public provider execution, queue or
OperationRunorchestration, prompt or result persistence, and any broader provider marketplace or budgeting work. - Provider registration remains unchanged in
bootstrap/providers.php, no new global-search resource is introduced, and no new asset strategy is needed for this package.