A grounded loop from intention to shipped outcomes.
This decision-driven flow keeps AI support anchored to code reality, product goals, and real constraints through repeated quality checkpoints.
Define what the real problem and how the product should feel like before deciding how it should work.
Translate the intent into flows, states, prompts, APIs, and technical boundaries.
Use AI tools to accelerate planning, coding, copywriting, and iteration.
Review what to keep, simplify, rebuild, or ship.
Product Intention / Problem
Start with the product need, friction, or goal that should drive the work.
Ask AI to Analyze the Situation
Use AI for structured analysis before deciding how to execute.
Extract Recommendation, Risks, Tradeoffs, and Hidden Failure Modes
Pull out concrete recommendations and likely failure points up front.
Reality Check the Advice
Validate the AI output against the actual environment before proceeding.
Decision
Does this match the actual codebase, product goal, and constraints?
Use Cursor Plan Mode
Switch to planning once the guidance is grounded in reality.
Ask Cursor to Inspect Codebase
Have Cursor map the real code state before implementation.
Ask Cursor to Break Work into Phases
Translate work into phased, reviewable chunks with clear intent.
Quality Control Checkpoint
Pause and verify plan quality before writing production code.
Decision
Is the plan grounded in real files, real state, and real APIs?
Ask Cursor to revise plan with evidence
Request a revision backed by concrete project evidence.
Build Phase by Phase
Implement incrementally while preserving the agreed plan boundaries.
Test in App / Simulator
Validate behavior in the real runtime context instead of assumptions.
Decision
Does result match intention?
Diagnose: bug, UX mismatch, state issue, API issue, or bad AI assumption
Classify the failure before rewriting instructions or code.
Rewrite instruction with tighter constraints
Constrain the prompt so the next pass stays aligned with intention.
Ship / Merge / Stabilize
Finalize the change safely once behavior matches the goal.
Document New Rule or Pattern
Capture durable guidance so future cycles are faster and safer.