Connect intent to acceptance
A requirement should explain the problem and the conditions that make a result useful. Before work starts, agree its scope, dependencies and acceptance criteria. That shared understanding matters when different people and AI agents contribute to the same product.
Make ownership explicit
Every work item needs an owner and a clear handover. Parallel work also needs coordination: two tasks can be individually sensible while changing the same assumptions or interfaces. Surfacing those interactions is part of delivery.
Match evidence to risk
A text adjustment and a change to financial posting have different verification needs. Decide which checks, reviews and approvals the change requires before it is treated as complete. Keep the evidence connected to the work rather than scattered across conversations.
Preserve a useful history
A traceable history gives a future maintainer a path from intent to the decision, implementation and validation. That is the problem space behind Trace, ScaleTechs’ developing platform for delivery by people and AI agents.