The User
Explain the project clearly, question anything that does not sound right, keep one primary workstream clean, and approve important actions before they move forward.
Method
NoDrift works best when planning, execution, review, approval, and handoff stay distinct. The user stays in control, and the work session keeps the record clear enough for long projects to remain reviewable.
Method ViewPractice
SourceApprovalHandoff
Start
Build
Review
Continue
The Work Session
The AI Orchestrator should ask before acting, preserve approved wording, verify before reporting completion, and stop before external or destructive actions.
The Record
Sources, decisions, risks, continuity, approval status, and correction status stay visible enough for later work to continue without guessing or restarting from memory alone.
Reception Side
NoDrift governs the user's workspace side of AI work. It organizes what the user sends, what the user approves, what the project has verified, what has been corrected, and what must carry forward.
Platform Boundary
NoDrift is not a model add-on, platform installation, hidden prompt layer, or claim that the LLM can be controlled from outside. The AI tool remains the AI tool. NoDrift improves the user's operating layer around it.
Unique Concept
NoDrift is built around reception-side governance: controlling the user's operating layer before and around the AI conversation. Don Gordon developed this approach after three and a half years of trying to create effective governance without paying for constant corrective LLM turns.
Token Discipline
NoDrift is designed to reduce wasted turns by preventing repeated explanations, unclear approvals, lost decisions, and correction loops. It does not add tokens to the model's response or change what the model itself produces.
Plan
Keep goals, source authority, and known boundaries clear before the work starts changing files or making broad claims.
Approve
Consequential actions stay explicit enough that the project owner remains in control, and approval applies to the approved task rather than every possible side effect.
Verify
Completion is checked before it is claimed, especially when the claim sounds broad enough to imply every page, all files, or full readiness.