JMJinMing Lab
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Proces publikacji

GAudytPPromptCKodBBugAAPIUToolsRRoadmap

Narzędzia AI dla programistów

Optymalizator Prompt AI

Zmienia surową prośbę w strukturalny Prompt do kodu researchu lub produktu

SzybkoDo skopiowaniaBez logowania

Format wejścia

Przykład zbuduj homepage strony narzędzi AI
Rola kontekst zadania format ograniczenia kryteriaNajpierw lokalnieDomyślnie prywatnie

Input

Rough request

Wynik

Optimized prompt

33 wierszy840 znaków
Role
You are a senior full stack product engineer

Goal
Build an AI tool website with six practical developer tools

Context
Target users are beginners and indie developers. The page should be dense, useful and production ready.

Tasks
1. Clarify the smallest shippable version
2. Design the route data and component structure
3. Implement with existing project patterns
4. Add focused tests or manual verification
5. Explain exactly how to run it

Output Format
- Summary
- Assumptions
- Plan
- Deliverable
- Verification

Constraints
- Keep the MVP sharp
- Prefer existing stack and local helpers
- Avoid inflated marketing copy
- Ship something usable before adding breadth

Acceptance Criteria
- The feature works from the first screen
- Empty error loading and mobile states are handled
- The user can verify it with one command or URL
01Role

You are a senior full stack product engineer

02Goal

Build an AI tool website with six practical developer tools

03Context

Target users are beginners and indie developers. The page should be dense, useful and production ready.

04Tasks

1. Clarify the smallest shippable version 2. Design the route data and component structure 3. Implement with existing project patterns 4. Add focused tests or manual verification 5. Explain exactly how to run it

05Output Format

- Summary - Assumptions - Plan - Deliverable - Verification

06Constraints

- Keep the MVP sharp - Prefer existing stack and local helpers - Avoid inflated marketing copy - Ship something usable before adding breadth

07Acceptance Criteria

- The feature works from the first screen - Empty error loading and mobile states are handled - The user can verify it with one command or URL

Co robi

workflow Prompt

Converts a rough request into a structured promptStworzone do szybkiej kopiowalnej pracy
Adds role context task list output format and constraintsStworzone do szybkiej kopiowalnej pracy
Creates acceptance criteria so the answer is easier to verifyStworzone do szybkiej kopiowalnej pracy

Dobre dla

Kto powinien używać

People writing with AI every day
Developers turning vague ideas into build tasks
Students making study or research prompts

Przykłady

Wejście i wyjście

Writing prompt optimization

Wejście: Write a product intro for a new AI tool.

Wyjście: Audience, tone, structure, proof points, limits, and acceptance criteria before drafting.

Code generation prompt optimization

Wejście: Build a settings page in Next.js.

Wyjście: Route, components, state, validation, error states, styling constraints, and verification commands.

Learning plan prompt optimization

Wejście: Help me learn Python in 30 days.

Wyjście: Weekly goals, daily exercises, review checkpoints, final project, and measurable completion criteria.

FAQ i ograniczenia

Przed użyciem

Does it call an AI model

No. The first version reshapes your request locally into a reusable prompt structure.

What makes a prompt stronger

A clear role context task list output format constraints and acceptance criteria.

Ograniczenia użycia

  • Local template based output only
  • It does not guarantee model quality
  • Sensitive or private context should be removed before sharing with third party AI tools