Specification Capture Mode • Two AI Prompt Types

Specification Capture Mode

Specification Capture Mode provides TWO DISTINCT AI prompt types designed to help corporate teams capture and refine requirements that development teams can confidently implement.

Text Enhancement improves clarity and grammar. Task Refinement expands completeness and implementation readiness. Both are essential tools for corporate teams managing complex development workflows and detailed requirements gathering.

Install PlanToCode

$5 free credits • Pay-as-you-go • Works on macOS and Windows

Two Distinct AI Prompt Types

Text Enhancement

Improves grammar, sentence structure, clarity, and conciseness while maintaining the user's original intent, tone, and technical detail level. Perfect for polishing rough drafts and voice transcriptions.

  • Preserves original meaning and intent
  • Fixes grammar and punctuation
  • Improves sentence flow and readability
  • Maintains technical accuracy

Task Refinement

Expands task descriptions by identifying implied requirements, filling in overlooked gaps, clarifying expected behavior and edge cases, and adding technical considerations to make tasks more complete and implementation-ready.

  • Identifies implied requirements
  • Clarifies edge cases and constraints
  • Adds technical implementation details
  • Makes tasks actionable for developers

Both prompt types leverage large language models to enhance content while preserving the original intent and core meaning of user input. This ensures your specifications remain true to your vision while becoming clearer and more complete.

Why corporate teams use Specification Capture Mode

Vague requirements lead to wrong implementations

AI generates code based on unclear task descriptions, missing critical constraints and edge cases.

Rewriting task descriptions wastes time

Manual refinement of ambiguous descriptions slows down planning and creates misalignment.

Mental models get lost in translation

What you envision doesn't match what gets written down, leading to implementation drift.

How it works

Select text in task description

Highlight any text in your task description or code editor. A popover appears instantly.

Choose "Improve" or "Refine Task"

Improve: Quick style/clarity fixes. Refine Task: Deep contextual enhancement with project files.

AI processes with full context

Claude Sonnet 3.5 analyzes with project files, directory structure, and customizable prompts.

Refined text applied inline

Improved text replaces selection automatically. Preserves formatting and cursor position.

Key capabilities

Context-aware refinement

AI understands your project structure, included files, and custom instructions when refining text.

Customizable system prompts

Define per-project prompts with placeholders for file contents, directory tree, and custom instructions.

Mental model capture

Iterative refinement helps AI understand your intent. Select → refine → refine again until perfect.

Instant application

Non-streaming processing for speed. Results applied directly with conflict detection to protect your edits.

Common use cases

Clarify vague requirements before planning

Turn "fix the auth bug" into specific steps with edge cases, affected services, and validation checks.

Expand abbreviated notes into full context

Convert shorthand like "refactor user svc" into detailed task with constraints, dependencies, and rollback plan.

Refine task descriptions for team alignment

Ensure task descriptions are clear for reviewers and downstream implementation.

Frequently Asked Questions

Everything you need to know about PlanToCode

Default: Claude Sonnet 3.5 via OpenRouter. You can configure different models per project in settings.
Yes. Define per-project system prompts with placeholders for file contents, directory tree, custom instructions, and more.
Yes. Works in task description fields and Monaco code editors. Select text → popover appears → choose action.

Start capturing clear specifications with AI

Stop struggling with vague requirements. Capture ideas with voice, refine them with AI prompts, and create specifications that development teams can confidently implement.