The problem
An implementation plan is only useful when its product, scope, experience, and technical decisions are actually approved rather than assumed.
AI-native planning system
Project Kickoff
A five-stage guided decision process across product, first-release scope, user experience, architecture, and execution. It records decisions and prepares a validated handoff for implementation.
Guided decision flow
Project Kickoff asks one unresolved question at a time, records the decision, and takes five stages through explicit approval gates: product definition, first-release scope, experience and design, technical blueprint, and execution and handoff.
Safety and quality controls
For an existing project, the audit is read-only before decisions are made. Decision, requirement, and task mappings are stable; a change invalidates only the dependent decisions, and task seeding is duplicate-safe.
Handoff and outcome
After approved planning, the system checks dependencies, prepares one live tracker and a minimal scaffold, then validates the handoff file for Agent-Team. It plans the work; it does not write product feature code.
Discovery→System design→Validated delivery
One-question discovery and explicit approval gates
Stable requirement IDs and duplicate-safe task seeding
Source on GitHub under a custom LearnStack OS member license