What PromptForge AI Does
- - Transforms rough ideas into structured prompts for design tools and coding agents.
- - Generates analysis, prompts, quality scoring, and improvement suggestions in one flow.
- - Works fully offline with deterministic local logic in this version.
How to Use
- - Describe your raw idea with problem, target users, and expected product result.
- - Select output mode, target tool, project type, complexity, language, and style preset.
- - Generate prompts, copy/export them, and save useful versions to history.
Best Practices for Raw Ideas
- - State who the product serves and why current alternatives are insufficient.
- - List your top workflow or feature priorities in plain language.
- - Mention constraints such as timeline, budget, compliance, or preferred stack.
Using the Design Prompt
- - Send the Design Prompt to Google Stitch, v0, Figma AI, or similar design generation tools.
- - Review screen-level output and iterate using the quality report weaknesses as guidance.
- - Request responsive states, interaction details, and accessibility checks explicitly.
Using the Build Prompt
- - Send the Build Prompt to coding agents such as Codex, Claude Code, Cursor, or Windsurf.
- - Keep execution incremental and ask the agent to verify build/test commands before finalizing.
- - Use Fix or Deploy prompts for stabilization and release preparation flows.
Design Prompt vs Build Prompt
- - Design Prompt defines visual and UX blueprint: screens, components, interactions, style.
- - Build Prompt defines implementation and execution blueprint: stack, architecture, quality rules, and verification.
- - Use both together for highest quality delivery from concept to working product.