What you are probably seeing
The agent begins executing tasks that were not requested because the initial prompt lacked sufficient context. The output requires multiple manual revisions to align with the original business goal.
Feature specifications contain conflicting requirements that only surface during implementation. The agent stalls or produces inconsistent results when faced with these contradictory instructions.
Why it happens
Agents interpret missing context by guessing, which leads to drift away from the intended user experience or functionality. The lack of a complete initial prompt forces the model to hallucinate missing details.
Contradictions in the spec cause the agent to prioritize one requirement over another without explicit guidance. This creates a longer review loop because errors are discovered late in the process rather than during planning.
What changed recently
Step by step
1. Compile all relevant background information, user personas, and business constraints into a single comprehensive initial prompt before asking the agent to act. Provide a list of known feature conflicts to the agent and ask it to flag which requirements are incompatible. Resolve all spec contradictions with a single source of truth before beginning the execution phase. Document the final agreed-upon specifications in a separate file that the agent references throughout the task. Review the agent’s first output against the consolidated prompt to catch immediate deviations from the intended context.
Ways to go further
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