Created
June 18, 2026 19:15
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6 Prompts To Get Consistent AI Results
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| 1. Parallel agents | |
| Use parallel agents for this. | |
| Split the work into four separate agents: | |
| - one to understand the current setup | |
| - one to find the simplest path | |
| - one to look for risks and edge cases | |
| - one to suggest how we verify the work | |
| Keep their work separate, then summarize the best plan. | |
| 2. Spec first | |
| Write the implementation spec before changing files. | |
| Explain the goal, what currently happens, what should happen instead, what files may change, the risky parts, how we will verify it, and what | |
| “done” means. | |
| Wait for my approval before implementation. | |
| 3. Interview before build | |
| Interview me before you build. | |
| Ask only the questions needed to remove ambiguity. | |
| Find out who this is for, what it should do, what already exists, what should change, what could go wrong, and what not to touch. | |
| After my answers, summarize the implementation spec. | |
| 4. Verification plan | |
| Before building, show me exactly how you will verify this. | |
| Tell me what you will check, what result you expect, what failure looks like, and what needs human review. | |
| Do not implement until the verification plan is clear. | |
| ### 5. Save project instructions | |
| Based on this session, update the project instructions. | |
| Save only durable rules: commands that worked, test commands, project conventions, gotchas, files not to touch, review checklist, and what done means. | |
| Do not save temporary task details. | |
| ### 6. Automate or augment | |
| Evaluate whether this should be automated or augmented. | |
| Ask if this requires taste or judgment, if 80 percent quality is acceptable, what happens if the output is wrong, what should stay | |
| human-approved, what logs or alerts are needed, and how we verify it keeps working. | |
| Recommend automate, augment, or leave manual. |
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